{ "data": { "a": { "slug": "memmachine", "name": "MemMachine", "vendor": "MemVerge, Inc.", "vendorUrl": "https://memmachine.ai", "kind": "http-api", "category": "agent-memory", "summary": "MemMachine is an open-source long-term memory layer for AI agents, incubated by MemVerge, with episodic, profile and working memory behind a self-hosted REST server, Python and TypeScript clients and an MCP server, plus a hosted platform.", "url": "https://www.anchorterminal.com/tools/memmachine", "markdownUrl": "https://www.anchorterminal.com/tools/memmachine.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memmachine.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memmachine.json", "dns": "memmachine.grade.anchorterminal.com", "repo": "https://github.com/MemMachine/MemMachine", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "packages": [ { "registry": "pypi", "name": "memmachine-server" }, { "registry": "pypi", "name": "memmachine-client" }, { "registry": "npm", "name": "@memmachine/client" } ], "auth": "none", "authNotes": "The self-hosted server takes no credential; the owner supplies LLM and embedding keys (OpenAI, Bedrock or Ollama) in its config. The hosted MemMachine Platform at api.memmachine.ai uses a bearer API key created and revoked in the console after a browser signup.", "pricing": "freemium", "pricingNotes": "Free under Apache-2.0 to self-host, with model costs paid to the chosen provider. The hosted platform has a free account per the README, but no prices were found, and the terms bill hosted services by order, monthly or annually.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository, the OpenAPI documents or the docs (checked 2026-11-06).", "endpoints": [] }, "toolCount": 3, "popularity": { "githubStars": 3085, "npmWeekly": 28, "pypiWeekly": 581, "asOf": "2026-11-06" }, "docsUrl": "https://docs.memmachine.ai", "llmsTxt": "https://docs.memmachine.ai/llms.txt", "openapi": "https://github.com/MemMachine/MemMachine/blob/main/docs/openapi.json", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.graph", "memory.delete" ], "tags": [ "open-source", "self-hosted", "hosted", "apache-2.0", "python", "typescript", "docker", "mcp", "openapi", "llms-txt", "no-auth", "pre-1.0" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 58, "grade": "C", "agentReady": false, "rank": 767, "ranked": true, "rankOf": 1486, "categoryRank": 16, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 83, "payments": 40, "reliability": 51, "schema": 79, "security": 41, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.", "bestFor": "Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.", "strengths": [ "Apache-2.0 server and clients on PyPI, npm and Docker, self-hostable with Ollama or AWS Bedrock", "OpenAPI documents for the server (54 operations) and the hosted platform (12), every operation described", "MCP server over stdio or HTTP with three tools, add_memory, search_memory and delete_memory", "SECURITY.md with private reporting and a two-business-day acknowledgement, plus security-audit and SBOM workflows", "Hosted platform terms commit to 99.5% availability" ], "weaknesses": [ "Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository", "The self-hosted server has no authentication and no security scheme in its OpenAPI document", "The README's quick start imports with `from memmachine_client import import MemMachineClient`, which is invalid Python", "292 open issues and pull requests, including recent reports that a provider 429 becomes a 500 and that a 0.4.0 config no longer starts", "No prices for the hosted platform, and the Enterprise edition is marked coming soon" ], "agentNotes": [ "Import with `from memmachine_client import MemMachineClient`; the README line has a doubled `import`", "Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller", "Scope every call with org, project, group, agent, user and session ids so memories don't mix", "Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits", "Treat recalled episodes as untrusted text from past conversations" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58 } ], "editorialScores": { "ergonomics": 65, "maintenance": 83, "payments": 40, "reliability": 51, "schema": 79, "security": 41, "transparency": 55 }, "provenanceScore": 58, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install memmachine-server memmachine-client", "http": "curl http://localhost:8080/api/v2/health" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/memmachine" }, "area": "agent-runtime", "provenance": { "legalEntity": "MemVerge, Inc.", "domain": "memmachine.ai", "domainRegistered": "2025-08-15", "endpointOnVendorDomain": null, "terms": "https://memmachine.ai/terms-of-service/", "privacy": "https://memmachine.ai/privacy-policy/", "statusPage": "", "changelog": "https://github.com/MemMachine/MemMachine/releases", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The terms name MemVerge, Inc., under California law, with no last-updated date shown. They forbid web scraping or harvesting data from the services, recorded here as a fact. The open-source software is Apache-2.0 and outside the terms.", "memmachine.ai/robots.txt allows all crawlers. docs.memmachine.ai carries Content-Signal ai-input=yes.", "RDAP gives memmachine.ai a registration date of 15 August 2025.", "/.well-known/security.txt returns 404. No status page found." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/memmachine.json", "live": { "slug": "memmachine", "versions": [ { "registry": "github", "name": "MemMachine/MemMachine", "version": "v0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:57.45502049Z" }, { "registry": "npm", "name": "@memmachine/client", "version": "0.3.9", "seenAt": "2026-11-06T23:43:56.945798416Z" }, { "registry": "pypi", "name": "memmachine-client", "version": "0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:55.050118334Z" }, { "registry": "pypi", "name": "memmachine-server", "version": "0.4.0", "released": "2026-10-08", "seenAt": "2026-11-06T23:43:54.864236924Z" } ], "githubStars": 3085, "npmWeekly": 28, "pypiWeekly": 54, "securityTxt": { "url": "https://memmachine.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:09.818703565Z" }, "llmsTxt": { "url": "https://docs.memmachine.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:59.84146138Z" }, "pages": [ { "url": "https://memmachine.ai/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:14:11.012100581Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "19edc6281451" }, { "url": "https://memmachine.ai/terms-of-service/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:14:13.19202427Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "079364130152" } ], "updatedAt": "2026-11-07T16:00:09.818703565Z" } }, "answer": "Supermemory API + MCP scores 59.6 (C) on agent readiness against MemMachine's 58 (C), and leads in 5 of 7 scored categories. MemMachine leads on payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "supermemory", "name": "Supermemory API + MCP", "vendor": "Supermemory", "vendorUrl": "https://supermemory.ai", "kind": "http-api", "category": "agent-memory", "summary": "Memory and context API that ingests text, URLs, PDFs, images and video, extracts memories into a graph per namespace (usually one per user) and returns them through search or a user profile endpoint.", "url": "https://www.anchorterminal.com/tools/supermemory", "markdownUrl": "https://www.anchorterminal.com/tools/supermemory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/supermemory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/supermemory.json", "dns": "supermemory.grade.anchorterminal.com", "repo": "https://github.com/supermemoryai/supermemory", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.supermemory.ai", "packages": [ { "registry": "npm", "name": "supermemory" }, { "registry": "pypi", "name": "supermemory" } ], "auth": "mixed", "authNotes": "Bearer API key (`sm_...`) from console.supermemory.ai. Org keys have full access. Scoped keys are limited to one or more namespaces (container tags in v3 and v4), can't read billing, change settings or mint keys, can expire after 1 to 365 days and are revocable. The hosted MCP at mcp.supermemory.ai/mcp signs in with OAuth in a browser, or takes an API key as Bearer since 21 August 2026.", "pricing": "freemium", "pricingNotes": "Each plan includes monthly usage credit. Free is $0 with $5 of credit, Pro $19 with $20, Max $100 with $130 (adds the Gmail connector), Scale $399 with $600 (adds PDF extraction, S3 and crawler connectors, SOC 2, a HIPAA BAA and a self-hosted option), and Enterprise is committed spend. Usage is $5 per million SM tokens for plain-text memory and $10 for rich content, $1 and $2 per million for SuperRAG text and rich media, $5 per million search queries and $100 per million operations (https://supermemory.ai/pricing). Paid plans can auto top up, and the top-up limits don't cap the invoice (https://supermemory.ai/docs/overview/billing.md).", "priceSummary": "$19 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 17, "popularity": { "githubStars": 31000, "npmWeekly": 121387, "pypiWeekly": 45053, "asOf": "2026-09-30" }, "docsUrl": "https://supermemory.ai/docs", "llmsTxt": "https://supermemory.ai/docs/llms.txt", "openapi": "https://api.supermemory.ai/v5/openapi", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "mcp", "oauth", "llms-txt", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-10-26", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 692, "ranked": true, "rankOf": 1486, "categoryRank": 13, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 85, "payments": 30, "reliability": 55, "schema": 88, "security": 64, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": -5, "negativeNotes": [ "-3, fixes to Supermemory's own code for described flaws with no advisory, one folded term. On 23 August 2026 commit 3b0fc9c (from a security audit) made /api/og and two onboarding routes verify the session, since a forged cookie reached handlers that spend metered quota, and removed an unauthenticated route. Self-hosted server v0.0.9 (12 October) stopped binding all interfaces with implicit local authentication, which the docs had called unsafe on 3 October. OSV holds no advisory for either, https://supermemory.ai/docs/self-hosting/configuration.md", "-2, self-hosting claims corrected on 3 October 2026. Until then the docs said the self-hosted binary \"sends no analytics\" and was open source; the corrected docs say Supermemory collects telemetry (opt out with SUPERMEMORY_DISABLE_TELEMETRY=1) and the server comes from a non-public codebase. Corrected by the vendor, so the low end, https://supermemory.ai/docs/self-hosting/overview.md" ], "verdict": "Scoped keys limited to namespaces with expiry, per-unit prices without a login, a v5 OpenAPI and annotated MCP tools. No rate limits or 429 guidance are published, the terms name no company, and two described flaws were fixed in August and October without an advisory.", "bestFor": "Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.", "strengths": [ "Scoped keys limited to namespaces, with expiry from 1 to 365 days", "Per-unit prices published without a login, with $5 of monthly credit on Free", "v5 OpenAPI 3.1 with typed limits and error responses on nearly every operation", "Every hosted MCP tool carries read-only, destructive and idempotent annotations", "Customer content never trains models on any plan, per the security page" ], "weaknesses": [ "No published rate limits or 429 guidance for the API", "No legal entity named in the terms or privacy policy", "Ingests web pages and PDFs with no prompt-injection guidance found", "Described flaws in the web app and self-hosted server were fixed without an advisory", "No security.txt, disclosure policy or sub-processor list found" ], "agentNotes": [ "Use one stable namespace per user and a stable document ID per session; reusing the ID appends", "Poll the document until `status` is `done` before searching for what you just added", "Treat a 402 on search or profile as out of credit, not as a bug", "Start new integrations on v5 (namespace in the path); v3 and v4 are legacy", "Call who_am_i on the MCP to see which spaces you can write to before adding" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.6 } ], "editorialScores": { "ergonomics": 76, "maintenance": 85, "payments": 30, "reliability": 55, "schema": 88, "security": 64, "transparency": 45 }, "provenanceScore": 58, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-02", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install supermemory # or: pip install supermemory", "http": "curl -X POST \"https://api.supermemory.ai/v3/documents\" \\\n -H \"Authorization: Bearer $SUPERMEMORY_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"content\":\"Sarah is being promoted to VP of Product.\",\"containerTag\":\"user_123\",\"customId\":\"chat_session_1\",\"metadata\":{\"type\":\"conversation\"},\"dreaming\":\"instant\"}'", "claudeCode": "claude mcp add --transport http supermemory https://mcp.supermemory.ai/mcp", "config": { "mcpServers": { "supermemory": { "type": "http", "url": "https://mcp.supermemory.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/supermemory" }, "area": "agent-runtime", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 19, "note": "$20 of usage credit" }, { "item": "Max plan", "unit": "month", "usd": 100, "note": "$130 of usage credit" }, { "item": "Scale plan", "unit": "month", "usd": 399, "note": "$600 of usage credit, SOC 2, HIPAA BAA" }, { "item": "Memory ingestion, plain text", "unit": "1m-tokens", "usd": 5, "note": "SM tokens" }, { "item": "Memory ingestion, rich content", "unit": "1m-tokens", "usd": 10, "note": "PDFs, media and extraction-heavy content" }, { "item": "Search and profile queries", "unit": "1k-requests", "usd": 0.005, "note": "$5 per million queries" }, { "item": "Operations", "unit": "1k-calls", "usd": 0.1, "note": "$100 per million, e.g. instant dreaming" } ], "provenance": { "legalEntity": "", "domain": "supermemory.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://supermemory.ai/terms", "privacy": "https://supermemory.ai/privacy", "statusPage": "https://status.supermemory.ai", "changelog": "https://supermemory.ai/changelog/api/", "securityTxt": "none", "checked": "2026-11-02", "notes": [ "The terms (effective 2 June 2025) and privacy policy (effective 29 September 2026, last updated 24 October 2026) refer only to \"supermemory\" in San Francisco and name no company. The terms are governed by Delaware law.", "supermemory.ai/.well-known/security.txt returns 404 (2 November 2026).", "The status page tracks the API and the console; one degraded-performance incident on 6 and 7 October 2026 (36 minutes) from 4 August to 2 November." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/supermemory.json", "live": { "slug": "supermemory", "probe": { "target": "https://api.supermemory.ai", "method": "get", "lastAt": "2026-11-07T18:20:57.744363166Z", "lastOk": true, "lastStatus": 200, "lastMs": 362, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 271, "p95ms24h": 565, "samples24h": 239, "samples30d": 7910, "days": [ { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 250, "ok": 250 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://status.supermemory.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T18:22:03.971643919Z" }, "versions": [ { "registry": "github", "name": "supermemoryai/supermemory", "version": "server-v0.0.9", "released": "2026-10-12", "seenAt": "2026-11-07T00:09:28.808745575Z" }, { "registry": "npm", "name": "supermemory", "version": "5.1.2", "seenAt": "2026-11-07T00:09:28.243816725Z" }, { "registry": "pypi", "name": "supermemory", "version": "5.0.1", "released": "2026-10-26", "seenAt": "2026-11-07T00:09:28.623639686Z" } ], "githubStars": 31555, "npmWeekly": 174935, "pypiWeekly": 23265, "securityTxt": { "url": "https://supermemory.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:42.179030648Z" }, "llmsTxt": { "url": "https://supermemory.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:34:04.334057937Z" }, "domain": { "domain": "supermemory.ai", "registered": "2024-05-02", "source": "https://rdap.identitydigital.services/rdap/domain/supermemory.ai", "checkedAt": "2026-11-01T14:23:07.339127894Z" }, "pages": [ { "url": "https://supermemory.ai/changelog/api/", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-07T14:21:18.887720568Z", "changedAt": "2026-11-03T07:59:57.419002784Z", "fingerprint": "40a93a2fb9e7" }, { "url": "https://supermemory.ai/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-11-07T14:21:20.962296763Z", "changedAt": "2026-10-15T21:35:18.814099256Z", "fingerprint": "e0071ac96f0e" }, { "url": "https://supermemory.ai/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-07T14:21:22.930844439Z", "changedAt": "2026-10-26T03:25:36.177403568Z", "fingerprint": "9eb3a0b1dd0a" }, { "url": "https://supermemory.ai/terms", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:21:25.394192852Z", "changedAt": "2026-10-15T21:35:22.755479188Z", "fingerprint": "6ec82c64d396" } ], "mcpTools": { "url": "https://mcp.supermemory.ai/mcp", "checkedAt": "2026-11-07T01:48:10.08603862Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:48:10.08603862Z" }, "github": { "repo": "supermemoryai/supermemory", "checkedAt": "2026-11-02T09:29:22.164948264Z", "stars": 31502, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T05:26:51Z", "openIssues": 21, "openPRs": 22, "issuesOpened90d": 78, "issuesClosed90d": 89, "prsMerged90d": 165, "ci": { "branch": "main", "runs": 50, "success": 42, "failure": 8, "other": 0, "latest": "success", "latestAt": "2026-10-26T20:17:24Z" }, "replies": { "sampled": 25, "unanswered": 16, "medianDays": 2.1 } }, "updatedAt": "2026-11-07T18:22:03.971643919Z" } }, "edges": [ { "by": 23, "category": "security", "leads": "supermemory", "name": "Security \u0026 auth", "reasons": { "a": "Framework reading for software the owner runs. The server has no authentication and no security scheme in its OpenAPI document (15 of 30). No read-only mode or confirmation for deletes (5 of 20). No guidance on recalled memories as untrusted text (4 of 15). No audit log on the self-hosted server; the hosted console shows usage (5 of 15). SECURITY.md with GitHub private reporting and a two-business-day acknowledgement, with security-audit and SBOM workflows; no security.txt or certification (12 of 20). Total 41.", "b": "Org keys have full access, but scoped keys can be limited to one or more namespaces (container tags), set to expire in 1 to 365 days and revoked (401 after). The MCP signs in with OAuth and asks which spaces to allow, and since 21 August also takes an API key as Bearer (28 of 30). Scoped keys can't read billing, change settings or mint keys, MCP spaces carry read or write permission, and the mass forget has a dry run, but there's no read-only API key (14 of 20). Supermemory ingests URLs, PDFs and web pages and returns them to the model, and we found no prompt-injection guidance (0). The Analytics API gives usage per API key, error breakdowns and stored request logs, which the docs say skip 402, 404 and 500 answers and aren't a complete audit trail (10 of 15). SOC 2 Type II, GDPR and a HIPAA BAA per the security page, with the report on request from support. No security.txt (404 on 2 November), disclosure policy, SECURITY.md or bug bounty found (12 of 20). 28 + 14 + 0 + 10 + 12 = 64." }, "scores": { "a": 41, "b": 64 } }, { "by": 11, "category": "ergonomics", "leads": "supermemory", "name": "Agent ergonomics", "reasons": { "a": "Searches take limit and filter options for episodic and semantic results (20 of 25). Memories can be listed and filtered by scope (15 of 20). Validation errors are typed; other failures are less clear, as the 429-to-500 issue shows (10 of 20). No idempotency keys or safe-retry guidance found (5 of 20). Python and TypeScript clients and a five-line quick start, once the import is fixed (15). Total 65.", "b": "The hosted MCP registers 17 tools, four of them app-only (hidden from the model through MCP Apps visibility), so 13 reach the model, plus five deprecated pre-snake_case aliases kept until clients move. 11 to 30 tools (15). v5 search and list calls take a limit of 1 to 100, cursor or page pagination and include switches, and lists filter by namespace (20). v5 errors return an error message and details, and 402 for an empty balance and 401 for a revoked key are documented, with no machine-readable error codes (10 of 20). Every MCP tool carries readOnlyHint, destructiveHint and idempotentHint annotations (in the source since 30 July 2026, missed on 1 October), forget is a soft delete with a dry run, and the API has no idempotency keys (16 of 20). TypeScript and Python SDKs, and an add needs only content (15). 15 + 20 + 10 + 16 + 15 = 76." }, "scores": { "a": 65, "b": 76 } }, { "by": 10, "category": "payments", "leads": "memmachine", "name": "Payments \u0026 pricing", "reasons": { "a": "Self-hosted rule, with the price lines read for the hosted platform. No x402, MPP or L402 (0 of 40). No hosted prices found on the site or docs (0). Free to self-host with no card (20). An agent can install it from PyPI with no account (20). Total 40.", "b": "No x402, MPP or L402. An empty balance returns 402 with no payment payload (0). Per-unit prices without a login, re-read on 2 November, $5 per million SM tokens for plain-text memory, $10 for rich content, $5 per million searches, $100 per million operations (20). Free has $5 of credit renewed monthly, and the pricing page doesn't say whether a card is needed (10 of 20). A person signs up in the console, and the MCP signs in through a browser (0). 0 + 20 + 10 + 0 = 30." }, "scores": { "a": 40, "b": 30 } }, { "by": 9, "category": "schema", "leads": "supermemory", "name": "Schema \u0026 documentation", "reasons": { "a": "OpenAPI documents for the server (54 operations) and the hosted platform (12) (25). llms.txt on docs.memmachine.ai with Markdown pages (10). Every operation has a description, and the docs explain memory types and scoping (15 of 20). Typed request models generated from the server, with search options for limits and filters (12 of 15). Examples for each client and the MCP tools, but only 422 is documented on the server and the README's first example doesn't run (8 of 15). `/api/v2` paths and tagged releases, no changelog (9 of 15). Total 79.", "b": "OpenAPI 3.1 for v5 at api.supermemory.ai/v5/openapi (33 operations, read on 2 November), with v4 and /openapi.json still served (25). llms.txt with a one-line purpose per page and endpoint (10). Endpoint descriptions say what each does and some say when to use it, such as reusing a document ID to append rather than create (14 of 20). Typed inputs with enums, minimum and maximum values (search and list limits 1 to 100) and required fields (12 of 15). Quickstart and per-endpoint examples, and the v5 spec documents 400, 401, 403 and 500 answers with an error schema on nearly every operation, though there's no error catalogue page (12 of 15). v3, v4 and v5 paths and a dated API changelog (15). 25 + 10 + 14 + 12 + 12 + 15 = 88." }, "scores": { "a": 79, "b": 88 } }, { "by": 5, "category": "transparency", "leads": "memmachine", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.", "b": "The SDKs, the hosted MCP and the tools in the public repository are MIT, but since 3 October the docs say the self-hosted server binary is built from a separate, non-public codebase and is free within a lite licence limit, so the hosted service and the engine are closed with clear terms. The 1 October reading of an MIT engine is corrected (15 of 30). The security page says customer content never trains models on any plan, and erasure works by deleting a namespace. The privacy policy (effective 29 September 2026, last updated 24 October) keeps data for the service relationship with no periods, and says disconnecting a connector won't delete synced data unless asked, while the security page says it deletes imported documents by default. The terms (2 June 2025) and privacy policy name no company (15 of 30). v3 and v4 became legacy with the dated v5 launch of 7 October and a migration command, with no shutdown date or deprecation policy (10 of 20). The privacy policy names Timescale, Cloudflare, OpenAI and Google Gemini as providers, with no full sub-processor list or data locations (5 of 20). 15 + 15 + 10 + 5 = 45." }, "scores": { "a": 57, "b": 52 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "MemVerge, Inc.", "b": "Supermemory", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.supermemory.ai", "name": "Hosted endpoint" }, { "a": "HTTP, stdio, Streamable HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "MIT", "name": "Licence" }, { "a": "3", "b": "17", "name": "Tools exposed" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-26", "name": "Last release" }, { "a": "no date given", "b": "2025-06-02", "name": "Terms last updated" }, { "a": "2026-05-20", "b": "2026-09-29", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "3.1k stars, 28 npm/wk, 581 PyPI/wk", "b": "31k stars, 121k npm/wk, 45k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Supermemory API + MCP scores 59.6 (C) on agent readiness against MemMachine's 58 (C), and leads in 5 of 7 scored categories. MemMachine leads on payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, MemMachine or Supermemory API + MCP?" }, { "answer": "MemMachine needs no key. Supermemory API + MCP takes an API key or an OAuth sign-in.", "question": "Do MemMachine and Supermemory API + MCP need an API key?" }, { "answer": "MemMachine runs on your own machine, with no hosted endpoint listed. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.", "question": "Can an agent call MemMachine and Supermemory API + MCP without installing anything?" }, { "answer": "Yes. MemMachine is open source (Apache-2.0). Supermemory API + MCP is open source (MIT).", "question": "Are MemMachine and Supermemory API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 40 against 30", "Transparency \u0026 trust, 57 against 52" ], "also": [ "No key needed to call it", "Runs on your own machine", "No incidents deducted, where Supermemory API + MCP loses 5 points for them" ], "goodFor": "Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.", "slug": "memmachine", "watchFor": "Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository" }, { "aheadOn": [ "Schema \u0026 documentation, 88 against 79", "Agent ergonomics, 76 against 65", "Security \u0026 auth, 64 against 41" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.", "slug": "supermemory", "watchFor": "No published rate limits or 429 guidance for the API" } ], "history": { "memmachine": null, "supermemory": [ { "causes": [ "reliability", "security", "product", "evidence", "correction" ], "date": "2026-11-02", "delta": -4.2, "from": 63.8, "fromGrade": "B", "to": 59.6, "toGrade": "C" }, { "causes": [ "correction" ], "date": "2026-10-28", "delta": -0.1, "from": 63.9, "fromGrade": "B", "to": 63.8, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.2, "from": 63.7, "fromGrade": "B", "to": 63.9, "toGrade": "B" } ] }, "job": { "capability": "memory.store", "name": "Agent memory" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine.json", "title": "Amazon Bedrock AgentCore Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.json", "title": "Amazon Bedrock AgentCore Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-memmachine.json", "title": "Basic Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-supermemory.json", "title": "Basic Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-memmachine.json", "title": "claude-mem vs MemMachine", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-supermemory.json", "title": "claude-mem vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-memmachine.json", "title": "Cognee vs MemMachine", "url": "https://www.anchorterminal.com/compare/cognee-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-supermemory.json", "title": "Cognee vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/cognee-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memmachine.json", "title": "EverOS vs MemMachine", "url": "https://www.anchorterminal.com/compare/everos-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-supermemory.json", "title": "EverOS vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/everos-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.json", "title": "Agent Platform Memory Bank vs MemMachine", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory.json", "title": "Agent Platform Memory Bank vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-memmachine.json", "title": "Graphiti vs MemMachine", "url": "https://www.anchorterminal.com/compare/graphiti-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.json", "title": "Graphiti vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-memmachine.json", "title": "Hindsight vs MemMachine", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.json", "title": "Hindsight vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-memmachine.json", "title": "Honcho vs MemMachine", "url": "https://www.anchorterminal.com/compare/honcho-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-supermemory.json", "title": "Honcho vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/honcho-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-memmachine.json", "title": "Hy Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.json", "title": "Hy Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-memmachine.json", "title": "LangMem vs MemMachine", "url": "https://www.anchorterminal.com/compare/langmem-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.json", "title": "LangMem vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/langmem-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-memmachine.json", "title": "LocalGhost vs MemMachine", "url": "https://www.anchorterminal.com/compare/localghost-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-supermemory.json", "title": "LocalGhost vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/localghost-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-memmachine.json", "title": "Mem0 Platform + MCP vs MemMachine", "url": "https://www.anchorterminal.com/compare/mem0-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-supermemory.json", "title": "Mem0 Platform + MCP vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/mem0-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-memori.json", "title": "MemMachine vs Memori", "url": "https://www.anchorterminal.com/compare/memmachine-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server.json", "title": "MemMachine vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-mempalace.json", "title": "MemMachine vs MemPalace", "url": "https://www.anchorterminal.com/compare/memmachine-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-past-dev.json", "title": "MemMachine vs past.dev", "url": "https://www.anchorterminal.com/compare/memmachine-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory.json", "title": "MemMachine vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-tokenrip.json", "title": "MemMachine vs Tokenrip", "url": "https://www.anchorterminal.com/compare/memmachine-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-zep.json", "title": "MemMachine vs Zep", "url": "https://www.anchorterminal.com/compare/memmachine-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-supermemory.json", "title": "Memori vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/memori-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.json", "title": "Memory (MCP reference server) vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/mempalace-vs-supermemory.json", "title": "MemPalace vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/mempalace-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/past-dev-vs-supermemory.json", "title": "past.dev vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/past-dev-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory.json", "title": "Supermemory API + MCP vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.json", "title": "Supermemory API + MCP vs Tokenrip", "url": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-zep.json", "title": "Supermemory API + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/supermemory-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.json", "title": "AI Memory vs MemMachine", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.json", "title": "AI Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine.json", "title": "Context Mode Engine vs MemMachine", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory.json", "title": "Context Mode Engine vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine.json", "title": "Graphicle vs MemMachine", "url": "https://www.anchorterminal.com/compare/graphicle-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory.json", "title": "Graphicle vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory" } ], "panel": null, "scores": [ { "by": 4, "edge": "supermemory", "key": "reliability", "memmachine": 51, "name": "Reliability", "supermemory": 55, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "edge": "supermemory", "key": "schema", "memmachine": 79, "name": "Schema \u0026 documentation", "supermemory": 88, "weight": 13 }, { "by": 11, "edge": "supermemory", "key": "ergonomics", "memmachine": 65, "name": "Agent ergonomics", "supermemory": 76, "weight": 13 }, { "by": 23, "edge": "supermemory", "key": "security", "memmachine": 41, "name": "Security \u0026 auth", "supermemory": 64, "weight": 14 }, { "by": 10, "edge": "memmachine", "key": "payments", "memmachine": 40, "name": "Payments \u0026 pricing", "supermemory": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "supermemory", "key": "maintenance", "memmachine": 83, "name": "Maintenance \u0026 community", "supermemory": 85, "weight": 7 }, { "by": 5, "edge": "memmachine", "key": "transparency", "memmachine": 57, "name": "Transparency \u0026 trust", "supermemory": 52, "weight": 7 } ], "summary": "Supermemory API + MCP scores 59.6 (C) on agent readiness against MemMachine's 58 (C), and leads in 5 of 7 scored categories. MemMachine leads on payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.", "tasks": null, "tutorials": [], "verdicts": { "memmachine": "MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.", "supermemory": "Scoped keys limited to namespaces with expiry, per-unit prices without a login, a v5 OpenAPI and annotated MCP tools. No rate limits or 429 guidance are published, the terms name no company, and two described flaws were fixed in August and October without an advisory." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory", "json": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory.min.md" }, "markdown": "Supermemory API + MCP scores 59.6 (C) on agent readiness against MemMachine's 58 (C), and leads in 5 of 7 scored categories. MemMachine leads on payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.\n\n- MemMachine: grade C, 58/100, rank #767 of 1486. Markdown https://www.anchorterminal.com/tools/memmachine.md · JSON https://www.anchorterminal.com/api/v1/tools/memmachine.json\n- Supermemory API + MCP: grade C, 59.6/100, rank #692 of 1486. Markdown https://www.anchorterminal.com/tools/supermemory.md · JSON https://www.anchorterminal.com/api/v1/tools/supermemory.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### MemMachine (C)\n\nGood for: Self-hosted memory for agent frameworks that want episodic and profile memory with many integrations.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 30\n- Transparency \u0026 trust, 57 against 52\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- No incidents deducted, where Supermemory API + MCP loses 5 points for them\n\nWatch for: Version 0.4.0 of 6 October 2026, pre-1.0, with no changelog file in the repository\n\n### Supermemory API + MCP (C)\n\nGood for: Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.\n\nAhead on:\n- Schema \u0026 documentation, 88 against 79\n- Agent ergonomics, 76 against 65\n- Security \u0026 auth, 64 against 41\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No published rate limits or 429 guidance for the API\n\n\n## Why the edge\n\n### Security \u0026 auth: Supermemory API + MCP +23\n\n- MemMachine (41): Framework reading for software the owner runs. The server has no authentication and no security scheme in its OpenAPI document (15 of 30). No read-only mode or confirmation for deletes (5 of 20). No guidance on recalled memories as untrusted text (4 of 15). No audit log on the self-hosted server; the hosted console shows usage (5 of 15). SECURITY.md with GitHub private reporting and a two-business-day acknowledgement, with security-audit and SBOM workflows; no security.txt or certification (12 of 20). Total 41.\n- Supermemory API + MCP (64): Org keys have full access, but scoped keys can be limited to one or more namespaces (container tags), set to expire in 1 to 365 days and revoked (401 after). The MCP signs in with OAuth and asks which spaces to allow, and since 21 August also takes an API key as Bearer (28 of 30). Scoped keys can't read billing, change settings or mint keys, MCP spaces carry read or write permission, and the mass forget has a dry run, but there's no read-only API key (14 of 20). Supermemory ingests URLs, PDFs and web pages and returns them to the model, and we found no prompt-injection guidance (0). The Analytics API gives usage per API key, error breakdowns and stored request logs, which the docs say skip 402, 404 and 500 answers and aren't a complete audit trail (10 of 15). SOC 2 Type II, GDPR and a HIPAA BAA per the security page, with the report on request from support. No security.txt (404 on 2 November), disclosure policy, SECURITY.md or bug bounty found (12 of 20). 28 + 14 + 0 + 10 + 12 = 64.\n\n### Agent ergonomics: Supermemory API + MCP +11\n\n- MemMachine (65): Searches take limit and filter options for episodic and semantic results (20 of 25). Memories can be listed and filtered by scope (15 of 20). Validation errors are typed; other failures are less clear, as the 429-to-500 issue shows (10 of 20). No idempotency keys or safe-retry guidance found (5 of 20). Python and TypeScript clients and a five-line quick start, once the import is fixed (15). Total 65.\n- Supermemory API + MCP (76): The hosted MCP registers 17 tools, four of them app-only (hidden from the model through MCP Apps visibility), so 13 reach the model, plus five deprecated pre-snake_case aliases kept until clients move. 11 to 30 tools (15). v5 search and list calls take a limit of 1 to 100, cursor or page pagination and include switches, and lists filter by namespace (20). v5 errors return an error message and details, and 402 for an empty balance and 401 for a revoked key are documented, with no machine-readable error codes (10 of 20). Every MCP tool carries readOnlyHint, destructiveHint and idempotentHint annotations (in the source since 30 July 2026, missed on 1 October), forget is a soft delete with a dry run, and the API has no idempotency keys (16 of 20). TypeScript and Python SDKs, and an add needs only content (15). 15 + 20 + 10 + 16 + 15 = 76.\n\n### Payments \u0026 pricing: MemMachine +10\n\n- MemMachine (40): Self-hosted rule, with the price lines read for the hosted platform. No x402, MPP or L402 (0 of 40). No hosted prices found on the site or docs (0). Free to self-host with no card (20). An agent can install it from PyPI with no account (20). Total 40.\n- Supermemory API + MCP (30): No x402, MPP or L402. An empty balance returns 402 with no payment payload (0). Per-unit prices without a login, re-read on 2 November, $5 per million SM tokens for plain-text memory, $10 for rich content, $5 per million searches, $100 per million operations (20). Free has $5 of credit renewed monthly, and the pricing page doesn't say whether a card is needed (10 of 20). A person signs up in the console, and the MCP signs in through a browser (0). 0 + 20 + 10 + 0 = 30.\n\n### Schema \u0026 documentation: Supermemory API + MCP +9\n\n- MemMachine (79): OpenAPI documents for the server (54 operations) and the hosted platform (12) (25). llms.txt on docs.memmachine.ai with Markdown pages (10). Every operation has a description, and the docs explain memory types and scoping (15 of 20). Typed request models generated from the server, with search options for limits and filters (12 of 15). Examples for each client and the MCP tools, but only 422 is documented on the server and the README's first example doesn't run (8 of 15). `/api/v2` paths and tagged releases, no changelog (9 of 15). Total 79.\n- Supermemory API + MCP (88): OpenAPI 3.1 for v5 at api.supermemory.ai/v5/openapi (33 operations, read on 2 November), with v4 and /openapi.json still served (25). llms.txt with a one-line purpose per page and endpoint (10). Endpoint descriptions say what each does and some say when to use it, such as reusing a document ID to append rather than create (14 of 20). Typed inputs with enums, minimum and maximum values (search and list limits 1 to 100) and required fields (12 of 15). Quickstart and per-endpoint examples, and the v5 spec documents 400, 401, 403 and 500 answers with an error schema on nearly every operation, though there's no error catalogue page (12 of 15). v3, v4 and v5 paths and a dated API changelog (15). 25 + 10 + 14 + 12 + 12 + 15 = 88.\n\n### Transparency \u0026 trust: MemMachine +5\n\n- MemMachine (57): Apache-2.0 (30). The terms say hosted customer data is destroyed on termination, with no period, and use usage data only in aggregate; the privacy policy wasn't read (12 of 30). No deprecation policy or notices found (3 of 20). No telemetry calls found in the server or client source, and the docs don't address it (10 of 20). Total 55.\n- Supermemory API + MCP (52): The SDKs, the hosted MCP and the tools in the public repository are MIT, but since 3 October the docs say the self-hosted server binary is built from a separate, non-public codebase and is free within a lite licence limit, so the hosted service and the engine are closed with clear terms. The 1 October reading of an MIT engine is corrected (15 of 30). The security page says customer content never trains models on any plan, and erasure works by deleting a namespace. The privacy policy (effective 29 September 2026, last updated 24 October) keeps data for the service relationship with no periods, and says disconnecting a connector won't delete synced data unless asked, while the security page says it deletes imported documents by default. The terms (2 June 2025) and privacy policy name no company (15 of 30). v3 and v4 became legacy with the dated v5 launch of 7 October and a migration command, with no shutdown date or deprecation policy (10 of 20). The privacy policy names Timescale, Cloudflare, OpenAI and Google Gemini as providers, with no full sub-processor list or data locations (5 of 20). 15 + 15 + 10 + 5 = 45.\n\n## Score by category\n\n| Category | Weight | MemMachine | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 51 | 55 | Supermemory API + MCP +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 88 | Supermemory API + MCP +9 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 76 | Supermemory API + MCP +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 41 | 64 | Supermemory API + MCP +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | MemMachine +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 85 | Supermemory API + MCP +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 57 | 52 | MemMachine +5 |\n| Negative events | ≤15 | 0 | -5 | |\n| **Total** | | **58 · C** | **59.6 · C** | |\n\n## Facts side by side\n\n| Fact | MemMachine | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | MemVerge, Inc. | Supermemory |\n| Hosted endpoint | no (local only) | `https://api.supermemory.ai` |\n| Transports | HTTP, stdio, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Tools exposed | 3 | 17 |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-10-26 |\n| Terms last updated | no date given | 2025-06-02 |\n| Privacy policy last updated | 2026-05-20 | 2026-09-29 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 3.1k stars, 28 npm/wk, 581 PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## How the scores have moved\n\n### MemMachine\n\nNo score change since it was listed.\n\n### Supermemory API + MCP\n\n- -4.2 on 2 November 2026 (B to C): reliability, security, product, new evidence, correction\n- -0.1 on 28 October 2026: correction\n- +0.2 on 28 October 2026: new evidence\n\n## Verdicts\n\n**MemMachine.** MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.\n\n**Supermemory API + MCP.** Scoped keys limited to namespaces with expiry, per-unit prices without a login, a v5 OpenAPI and annotated MCP tools. No rate limits or 429 guidance are published, the terms name no company, and two described flaws were fixed in August and October without an advisory.\n\n## Before you call either\n\n### MemMachine\n\n1. Import with `from memmachine_client import MemMachineClient`; the README line has a doubled `import`\n2. Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller\n3. Scope every call with org, project, group, agent, user and session ids so memories don't mix\n4. Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits\n5. Treat recalled episodes as untrusted text from past conversations\n\n### Supermemory API + MCP\n\n1. Use one stable namespace per user and a stable document ID per session; reusing the ID appends\n2. Poll the document until `status` is `done` before searching for what you just added\n3. Treat a 402 on search or profile as out of credit, not as a bug\n4. Start new integrations on v5 (namespace in the path); v3 and v4 are legacy\n5. Call who_am_i on the MCP to see which spaces you can write to before adding\n\n## Questions\n\n### Which is better for AI agents, MemMachine or Supermemory API + MCP?\n\nSupermemory API + MCP scores 59.6 (C) on agent readiness against MemMachine's 58 (C), and leads in 5 of 7 scored categories. MemMachine leads on payments \u0026 pricing and transparency \u0026 trust.\n\n### Do MemMachine and Supermemory API + MCP need an API key?\n\nMemMachine needs no key. Supermemory API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call MemMachine and Supermemory API + MCP without installing anything?\n\nMemMachine runs on your own machine, with no hosted endpoint listed. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.\n\n### Are MemMachine and Supermemory API + MCP open source?\n\nYes. MemMachine is open source (Apache-2.0). Supermemory API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/memmachine-vs-supermemory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/memmachine-vs-supermemory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"memmachine\", \"b\": \"supermemory\"}`. From a terminal: `anchor compare memmachine supermemory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/memmachine.json and https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Other comparisons with MemMachine or Supermemory API + MCP\n\n- [Amazon Bedrock AgentCore Memory vs MemMachine](https://www.anchorterminal.com/compare/agentcore-memory-vs-memmachine.md)\n- [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md)\n- [Basic Memory vs MemMachine](https://www.anchorterminal.com/compare/basic-memory-vs-memmachine.md)\n- [Basic Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/basic-memory-vs-supermemory.md)\n- [claude-mem vs MemMachine](https://www.anchorterminal.com/compare/claude-mem-vs-memmachine.md)\n- [claude-mem vs Supermemory API + MCP](https://www.anchorterminal.com/compare/claude-mem-vs-supermemory.md)\n- [Cognee vs MemMachine](https://www.anchorterminal.com/compare/cognee-vs-memmachine.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [EverOS vs MemMachine](https://www.anchorterminal.com/compare/everos-vs-memmachine.md)\n- [EverOS vs Supermemory API + MCP](https://www.anchorterminal.com/compare/everos-vs-supermemory.md)\n- [Agent Platform Memory Bank vs MemMachine](https://www.anchorterminal.com/compare/google-memory-bank-vs-memmachine.md)\n- [Agent Platform Memory Bank vs Supermemory API + MCP](https://www.anchorterminal.com/compare/google-memory-bank-vs-supermemory.md)\n- [Graphiti vs MemMachine](https://www.anchorterminal.com/compare/graphiti-vs-memmachine.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs MemMachine](https://www.anchorterminal.com/compare/hindsight-vs-memmachine.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs MemMachine](https://www.anchorterminal.com/compare/honcho-vs-memmachine.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Hy Memory vs MemMachine](https://www.anchorterminal.com/compare/hy-memory-vs-memmachine.md)\n- [Hy Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.md)\n- [LangMem vs MemMachine](https://www.anchorterminal.com/compare/langmem-vs-memmachine.md)\n- [LangMem vs Supermemory API + MCP](https://www.anchorterminal.com/compare/langmem-vs-supermemory.md)\n- [LocalGhost vs MemMachine](https://www.anchorterminal.com/compare/localghost-vs-memmachine.md)\n- [LocalGhost vs Supermemory API + MCP](https://www.anchorterminal.com/compare/localghost-vs-supermemory.md)\n- [Mem0 Platform + MCP vs MemMachine](https://www.anchorterminal.com/compare/mem0-vs-memmachine.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [MemMachine vs Memori](https://www.anchorterminal.com/compare/memmachine-vs-memori.md)\n- [MemMachine vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/memmachine-vs-memory-reference-server.md)\n- [MemMachine vs MemPalace](https://www.anchorterminal.com/compare/memmachine-vs-mempalace.md)\n- [MemMachine vs past.dev](https://www.anchorterminal.com/compare/memmachine-vs-past-dev.md)\n- [MemMachine vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/memmachine-vs-tencentdb-agent-memory.md)\n- [MemMachine vs Tokenrip](https://www.anchorterminal.com/compare/memmachine-vs-tokenrip.md)\n- [MemMachine vs Zep](https://www.anchorterminal.com/compare/memmachine-vs-zep.md)\n- [Memori vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memori-vs-supermemory.md)\n- [Memory (MCP reference server) vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.md)\n- [MemPalace vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mempalace-vs-supermemory.md)\n- [past.dev vs Supermemory API + MCP](https://www.anchorterminal.com/compare/past-dev-vs-supermemory.md)\n- [Supermemory API + MCP vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/supermemory-vs-tencentdb-agent-memory.md)\n- [Supermemory API + MCP vs Tokenrip](https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.md)\n- [Supermemory API + MCP vs Zep](https://www.anchorterminal.com/compare/supermemory-vs-zep.md)\n- [AI Memory vs MemMachine](https://www.anchorterminal.com/compare/ai-memory-vs-memmachine.md)\n- [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md)\n- [Context Mode Engine vs MemMachine](https://www.anchorterminal.com/compare/context-mode-vs-memmachine.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Graphicle vs MemMachine](https://www.anchorterminal.com/compare/graphicle-vs-memmachine.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "MemMachine vs Supermemory API + MCP", "url": "" } ], "description": "Supermemory scores 59.6 (C) to MemMachine's 58 (C) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "MemMachine C 58", "Supermemory API + MCP C 59.6", "scores" ], "h1": "MemMachine vs Supermemory API + MCP", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/memmachine-vs-supermemory", "published": "2026-10-01", "section": "tools", "title": "MemMachine vs Supermemory for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/memmachine-vs-supermemory" }, "tokens": { "markdown": 4850, "slim": 2380 }, "version": 1 }