{ "data": { "a": { "slug": "cognee", "name": "Cognee", "vendor": "Cognee", "vendorUrl": "https://www.cognee.ai", "kind": "platform", "category": "agent-memory", "summary": "Open-source memory engine that turns documents, conversations and synced sources into a knowledge graph plus a vector index and answers queries over both.", "url": "https://www.anchorterminal.com/tools/cognee", "markdownUrl": "https://www.anchorterminal.com/tools/cognee.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cognee.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cognee.json", "repo": "https://github.com/topoteretes/cognee", "license": "Apache-2.0", "transports": [ "http", "stdio", "sse" ], "remoteUrl": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1", "packages": [ { "registry": "pypi", "name": "cognee" }, { "registry": "oci", "name": "cognee/cognee-mcp" } ], "auth": "mixed", "authNotes": "Cognee Cloud takes an `X-Api-Key` header on a per-tenant host, and keys can be rotated. A local Docker server runs without auth unless you turn it on, then takes a Bearer token. Since 1.6.0 (18 September 2026) the library builds and searches text memory with local models and no LLM key, and LLM-dependent stages skip when none is set. Set `LLM_API_KEY` for the full pipeline with a hosted model. Cognee MCP and Cognee Cloud are separate systems with different auth.", "pricing": "freemium", "pricingNotes": "Cognee Cloud Free is $0 with 1 million tokens included, 1 workspace, unlimited users and API calls, and no card. Standard is $1 per million tokens processed plus $5 a month for each extra workspace, and adds Slack, Notion, Linear and Google Drive sources. Enterprise is quoted, with bring-your-own-cloud (https://www.cognee.ai/pricing). The billing docs still show older plans (Hobby with 10 million tokens, Growth at $5 a tenant, Enterprise at $2,916 a month), which disagree with the pricing page. Credit is prepaid from $0.50, with optional auto-recharge (https://docs.cognee.ai/cognee-cloud/functionality/account-and-billing). The open-source library is free to run yourself.", "priceSummary": "$5 / mo", "where": "both", "x402": { "level": "no", "endpoints": [] }, "toolCount": 7, "popularity": { "githubStars": 31200, "npmWeekly": null, "pypiWeekly": 20830, "asOf": "2026-09-30" }, "docsUrl": "https://docs.cognee.ai", "llmsTxt": "https://docs.cognee.ai/llms.txt", "openapi": "https://docs.cognee.ai/cognee_openapi_spec.json", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.delete" ], "tags": [ "open-source", "self-hosted", "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "python", "eu" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 54.6, "grade": "C", "agentReady": false, "rank": 320, "ranked": true, "rankOf": 452, "categoryRank": 5, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 59, "maintenance": 82, "payments": 35, "reliability": 50, "schema": 85, "security": 39, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2026-05-01: a commit titled as a fix removed 11 MCP tools, including cognify, search, delete and prune, with cognee-mcp at 0.5.4 before and after, and the README the day before listed them as \"still available\" with no deprecation note. The replacements remember, recall and forget had shipped on 10 April and the tools reference now lists what went, so we deduct at the low end (https://github.com/topoteretes/cognee/commit/b52fcc335f6bfc090d1c892afa9c4e81909336fe)" ], "verdict": "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.", "strengths": [ "Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0", "7-tool MCP server with search_tools and call_tool for reaching the rest on demand", "Public OpenAPI 3.1 file with 46 paths and error models", "Metered Cloud at $1 per million tokens, 1 million free with no card", "Eight stable PyPI releases from 15 August to 29 September 2026, with CI passing on main" ], "weaknesses": [ "No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region", "Cloud calls hung rather than failing when a tenant ran out of credit (August 2026), and the issue is still open", "Billing docs and pricing page disagree on plans and the free allowance", "Library telemetry is on by default and sends a persistent machine ID and an ID derived from the LLM key", "11 MCP tools were removed in May 2026 without a version bump or notice" ], "agentNotes": [ "Use remember, recall and forget. The older cognify, search and delete MCP tools are gone", "Always include /api/v1 in REST paths", "Check cognify_status before querying data you added with background=true", "Never pass everything=true to forget unless you mean to wipe all of the user's memory", "Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.6 } ], "editorialScores": { "ergonomics": 59, "maintenance": 82, "payments": 35, "reliability": 50, "schema": 85, "security": 39, "transparency": 69 }, "provenanceScore": 65 }, "connect": { "install": "pip install cognee", "http": "# COGNEE_URL is your tenant host, e.g. https://\u003ctenant\u003e.aws.cognee.ai\ncurl -X POST \"$COGNEE_URL/api/v1/search\" -H \"X-Api-Key: $COGNEE_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"query\":\"What does the user prefer?\"}'", "claudeCode": "docker run -d -e TRANSPORT_MODE=http -e LLM_API_KEY=$LLM_API_KEY -p 8000:8000 cognee/cognee-mcp:main\nclaude mcp add --transport http cognee http://localhost:8000/mcp", "config": { "mcpServers": { "cognee": { "args": [ "run", "-i", "--rm", "-e", "LLM_API_KEY", "cognee/cognee-mcp:main" ], "command": "docker", "env": { "LLM_API_KEY": "${LLM_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/cognee" }, "area": "agent-runtime", "unitPrices": [ { "item": "Standard token processing", "unit": "1m-tokens", "usd": 1, "note": "1 million tokens free" }, { "item": "Extra workspace", "unit": "month", "usd": 5 } ], "provenance": { "legalEntity": "Topoteretes UG (haftungsbeschränkt)", "domain": "cognee.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.cognee.ai/gtc-eu", "privacy": "https://www.cognee.ai/privacy-notice", "statusPage": "", "changelog": "https://github.com/topoteretes/cognee/releases", "securityTxt": "none", "checked": "2026-10-02", "notes": [ "The general terms, updated 27 March 2026, name Topoteretes UG (haftungsbeschränkt), Amtsgericht Charlottenburg HRB 252065 B, Paul-Lincke-Ufer 39-40, 10999 Berlin, under German law.", "www.cognee.ai/.well-known/security.txt returns 404, and we found no status page.", "The privacy notice, current version 20 September 2026, says Cognee Cloud is operated by Cognee Inc. and hosted in AWS us-east-1, while the general terms name Topoteretes UG in Berlin. SECURITY.md in the repository sends reports to security@cognee.ai." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cognee.json", "live": { "slug": "cognee", "probe": { "target": "https://\u003ctenant\u003e.aws.cognee.ai/api/v1", "method": "get", "lastAt": "2026-10-05T01:43:35.598577464Z", "lastOk": false, "lastStatus": 0, "lastMs": 0, "lastNote": "DNS lookup failed", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 272, "samples30d": 920, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 0 }, { "date": "2026-10-02", "probes": 248, "ok": 0 }, { "date": "2026-10-03", "probes": 271, "ok": 0 }, { "date": "2026-10-04", "probes": 272, "ok": 0 }, { "date": "2026-10-05", "probes": 20, "ok": 0 } ] }, "versions": [ { "registry": "github", "name": "topoteretes/cognee", "version": "v1.6.2", "released": "2026-09-29", "seenAt": "2026-10-04T16:24:05.468766325Z" }, { "registry": "pypi", "name": "cognee", "version": "1.6.2", "released": "2026-09-29", "seenAt": "2026-10-04T16:24:05.282815483Z" } ], "githubStars": 31352, "pypiWeekly": 22752, "securityTxt": { "url": "https://cognee.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:50.060532442Z" }, "llmsTxt": { "url": "https://docs.cognee.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:26.553412423Z" }, "domain": { "domain": "cognee.ai", "registered": "2023-12-21", "source": "https://rdap.identitydigital.services/rdap/domain/cognee.ai", "checkedAt": "2026-10-04T13:09:11.691283649Z" }, "pages": [ { "url": "https://www.cognee.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:49:51.729470579Z", "changedAt": "2026-10-04T15:49:51.729470579Z", "fingerprint": "d56cccad38df" }, { "url": "https://www.cognee.ai/privacy-notice", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:49:53.709284309Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c5fb8fa4d461" }, { "url": "https://www.cognee.ai/gtc-eu", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:49:49.609263653Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9bd64eccc606" } ], "updatedAt": "2026-10-05T01:43:35.598577464Z" } }, "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 container tag (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", "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 container tags, 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 and needs no key.", "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": 8, "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/v4/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": "2026-09-21", "graded": true, "anchor": { "graded": true, "score": 63.6, "grade": "B", "agentReady": false, "rank": 201, "ranked": true, "rankOf": 452, "categoryRank": 3, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 85, "payments": 30, "reliability": 65, "schema": 85, "security": 54, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.", "strengths": [ "8-tool hosted MCP with OAuth and per-space read or write permission", "Scoped keys limited to container tags, with expiry from 1 to 365 days", "Status page shows 100 per cent for the API and Console from July to October 2026", "Customer content never trains models on any plan, per the security page", "One endpoint ingests text, URLs, PDFs, images and video" ], "weaknesses": [ "No legal entity named in the terms or privacy policy", "No published rate limits or 429 guidance", "Ingests web pages and PDFs with no prompt-injection guidance found", "v3 and v4 endpoints live side by side, so examples disagree", "No security.txt and no official MCP registry entry" ], "agentNotes": [ "Use one stable `containerTag` per user and a `customId` per session", "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", "Run the prompt-based mass forget with `dryRun` first", "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": "B", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.6 } ], "editorialScores": { "ergonomics": 73, "maintenance": 85, "payments": 30, "reliability": 65, "schema": 85, "security": 54, "transparency": 43 }, "provenanceScore": 55 }, "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": "2026-09-30", "notes": [ "The terms (updated 2 June 2025) and privacy policy (4 June 2025) 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.", "The status page tracks the API and the console and showed no incidents from June to September 2026." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/supermemory.json", "live": { "slug": "supermemory", "probe": { "target": "https://api.supermemory.ai", "method": "get", "lastAt": "2026-10-05T01:43:46.207735834Z", "lastOk": true, "lastStatus": 200, "lastMs": 229, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 221, "p95ms24h": 1227, "samples24h": 272, "samples30d": 920, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 109 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.supermemory.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T01:46:47.43615967Z" }, "versions": [ { "registry": "github", "name": "supermemoryai/supermemory", "version": "server-v0.0.8", "released": "2026-08-17", "seenAt": "2026-10-04T16:41:06.655531873Z" }, { "registry": "npm", "name": "supermemory", "version": "4.25.4", "seenAt": "2026-10-04T16:41:05.654638532Z" }, { "registry": "pypi", "name": "supermemory", "version": "3.62.0", "released": "2026-09-15", "seenAt": "2026-10-04T16:41:06.468818959Z" } ], "githubStars": 31075, "npmWeekly": 150676, "pypiWeekly": 46556, "securityTxt": { "url": "https://supermemory.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:36.802431241Z" }, "llmsTxt": { "url": "https://supermemory.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:16.596856529Z" }, "domain": { "domain": "supermemory.ai", "registered": "2024-05-02", "source": "https://rdap.identitydigital.services/rdap/domain/supermemory.ai", "checkedAt": "2026-10-04T13:08:43.474403681Z" }, "pages": [ { "url": "https://supermemory.ai/changelog/api/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:48:15.450890909Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2ddcbbb7c52b" }, { "url": "https://supermemory.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:48:17.502123356Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5a59edaa8317" }, { "url": "https://supermemory.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:48:19.507816683Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fdcd3f77f37b" }, { "url": "https://supermemory.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:48:21.500893622Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2a27b70bf76f" } ], "updatedAt": "2026-10-05T01:46:47.43615967Z" } }, "summary": "Supermemory API + MCP has a score of 63.6 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is transparency \u0026 trust, 18 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cognee-vs-supermemory", "json": "https://www.anchorterminal.com/compare/cognee-vs-supermemory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cognee-vs-supermemory.md", "slim": "https://www.anchorterminal.com/compare/cognee-vs-supermemory.min.md" }, "markdown": "Supermemory API + MCP has a score of 63.6 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is transparency \u0026 trust, 18 points.\n\n- Cognee: grade C, 54.6/100, rank #320 of 452. Markdown https://www.anchorterminal.com/tools/cognee.md · JSON https://www.anchorterminal.com/api/v1/tools/cognee.json\n- Supermemory API + MCP: grade B, 63.6/100, rank #201 of 452. Markdown https://www.anchorterminal.com/tools/supermemory.md · JSON https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Which one, for what\n\nPick Cognee for payments \u0026 pricing (+5), transparency \u0026 trust (+18).\n\nPick Supermemory API + MCP for reliability (+15), agent ergonomics (+14), security \u0026 auth (+15).\n\n## Score by category\n\n| Category | Weight | Cognee | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 65 | Supermemory API + MCP +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 85 | even |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 73 | Supermemory API + MCP +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 39 | 54 | Supermemory API + MCP +15 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 30 | Cognee +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 85 | Supermemory API + MCP +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 49 | Cognee +18 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **54.6 · C** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Cognee | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cognee | Supermemory |\n| Hosted endpoint | `https://\u003ctenant\u003e.aws.cognee.ai/api/v1` | `https://api.supermemory.ai` |\n| Transports | HTTP, stdio, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Tools exposed | 7 | 8 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-29 | 2026-09-21 |\n| Popularity | 31k stars, 21k PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 3/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Cognee.** Apache-2.0 library, REST server and MCP server, all self-hostable, with local models and no LLM key since 1.6.0. No status page, rate limits, SLA or SOC 2 for Cloud, and Cloud runs in AWS us-east-1 with no EU region.\n\n**Supermemory API + MCP.** 8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.\n\n## Before you call either\n\n### Cognee\n\n1. Use remember, recall and forget. The older cognify, search and delete MCP tools are gone\n2. Always include /api/v1 in REST paths\n3. Check cognify_status before querying data you added with background=true\n4. Never pass everything=true to forget unless you mean to wipe all of the user's memory\n5. Set a client timeout on Cloud calls and treat HTTP 402 as an empty balance, since an empty balance has also shown up as hangs\n\n### Supermemory API + MCP\n\n1. Use one stable `containerTag` per user and a `customId` per session\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. Run the prompt-based mass forget with `dryRun` first\n5. Call who_am_i on the MCP to see which spaces you can write to before adding\n\n## Other comparisons with Cognee or Supermemory API + MCP\n\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md)\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Cognee vs LocalGhost](https://www.anchorterminal.com/compare/cognee-vs-localghost.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [LocalGhost vs Supermemory API + MCP](https://www.anchorterminal.com/compare/localghost-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Supermemory API + MCP vs Zep](https://www.anchorterminal.com/compare/supermemory-vs-zep.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cognee vs Supermemory API + MCP", "url": "" } ], "description": "Supermemory API + MCP has a score of 63.6 (B) against Cognee's 54.6 (C). Both do memory store. The largest gap is transparency \u0026 trust, 18 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Cognee C 54.6", "Supermemory API + MCP B 63.6", "scores" ], "h1": "Cognee vs Supermemory API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-cognee-vs-supermemory.png", "path": "/compare/cognee-vs-supermemory", "published": "2026-10-01", "section": "tools", "title": "Cognee vs Supermemory API + MCP for AI agents, C 54.6 vs B 63.6", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/cognee-vs-supermemory" }, "tokens": { "markdown": 1400, "slim": 330 }, "version": 1 }