{ "data": { "a": { "slug": "mem0", "name": "Mem0 Platform + MCP", "vendor": "Mem0", "vendorUrl": "https://mem0.ai", "kind": "http-api", "category": "agent-memory", "summary": "Hosted memory layer that extracts facts from conversations and returns the relevant ones for a user, agent or run on later turns.", "url": "https://www.anchorterminal.com/tools/mem0", "markdownUrl": "https://www.anchorterminal.com/tools/mem0.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mem0.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mem0.json", "repo": "https://github.com/mem0ai/mem0", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.mem0.ai", "packages": [ { "registry": "pypi", "name": "mem0ai" }, { "registry": "npm", "name": "mem0ai" } ], "auth": "api-key", "authNotes": "API key in the `Authorization: Token \u003ckey\u003e` header on the REST API, not Bearer. The hosted MCP at mcp.mem0.ai/mcp signs in through the browser by default, and headless clients pass the API key as a Bearer token. `mem0 init --agent` creates an unclaimed Free account with no email, limited to 5 sign-ups a day per IP address.", "pricing": "freemium", "pricingNotes": "Hobby is free with 10,000 add requests and 1,000 retrieval requests a month and 1 project. Starter is $19 a month (50,000 adds, 5,000 retrievals). Pro is $249 a month (500,000 adds, 50,000 retrievals, unlimited projects, graph memory, advanced analytics and Dream memory consolidation). Enterprise is custom, with on-prem deployment, audit logs and SSO. The page lists no overage prices or yearly discount (https://mem0.ai/pricing). The free tier needs no card (https://docs.mem0.ai/platform/platform-vs-oss).", "priceSummary": "$19 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": 65900, "npmWeekly": 167841, "pypiWeekly": 501642, "asOf": "2026-09-30" }, "docsUrl": "https://docs.mem0.ai", "llmsTxt": "https://mem0.ai/llms.txt", "openapi": "https://docs.mem0.ai/openapi.json", "registryName": "io.github.mem0ai/mem0", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-09-25", "graded": true, "anchor": { "graded": true, "score": 56.1, "grade": "C", "agentReady": false, "rank": 639, "ranked": true, "rankOf": 950, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 85, "payments": 50, "reliability": 30, "schema": 80, "security": 45, "transparency": 60 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.", "bestFor": "Chat products that want per-user facts back with one search call and little setup.", "strengths": [ "An agent can create its own Free account with `mem0 init --agent`, no email and no card", "Hosted MCP server with 11 tools, listed in the official MCP registry as io.github.mem0ai/mem0", "Public OpenAPI spec, llms.txt and Python and TypeScript SDKs, both released on 2026-09-25", "Apache-2.0 library that runs the same extraction on your own servers" ], "weaknesses": [ "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026", "No published rate limits or 429 handling, and only 400 and 404 documented as errors", "Retrieval caps are low below Pro, 1,000 a month free and 5,000 on Starter", "delete_all_memories and delete_entities are in the default MCP tool list with no read-only mode", "SOC 2 Type I, not Type II, and no security.txt" ], "agentNotes": [ "Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer", "Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID", "Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users", "Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches", "On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 85, "payments": 50, "reliability": 30, "schema": 80, "security": 45, "transparency": 56 }, "provenanceScore": 64 }, "connect": { "install": "pip install mem0ai # or: npm install mem0ai", "http": "curl -X POST https://api.mem0.ai/v1/memories/ -H \"Authorization: Token $MEM0_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"messages\":[{\"role\":\"user\",\"content\":\"I am vegetarian and allergic to nuts.\"}],\"user_id\":\"alex\"}'", "claudeCode": "claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp --header \"Authorization: Bearer $MEM0_API_KEY\"", "config": { "mcpServers": { "mem0": { "headers": { "Authorization": "Bearer ${MEM0_API_KEY}" }, "type": "http", "url": "https://mcp.mem0.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/mem0" }, "area": "agent-runtime", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 19, "note": "50,000 adds and 5,000 retrievals a month" }, { "item": "Pro plan", "unit": "month", "usd": 249, "note": "500,000 adds and 50,000 retrievals a month, graph memory" } ], "provenance": { "legalEntity": "Embedchain, Inc. (DBA Mem0)", "domain": "mem0.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://mem0.ai/terms", "privacy": "https://mem0.ai/privacy-policy", "statusPage": "https://status.mem0.ai", "changelog": "https://docs.mem0.ai/changelog/platform", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The privacy policy, last updated 22 August 2026, names Embedchain, Inc. doing business as Mem0, and lists OpenAI and Anthropic among the AI providers that process data.", "mem0.ai/.well-known/security.txt returns 404." ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mem0.json", "live": { "slug": "mem0", "probe": { "target": "https://api.mem0.ai", "method": "get", "lastAt": "2026-10-10T02:07:15.764639339Z", "lastOk": true, "lastStatus": 200, "lastMs": 498, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 451, "p95ms24h": 498, "samples24h": 250, "samples30d": 2256, "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": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "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": 22, "ok": 22 } ] }, "vendorStatus": { "page": "https://status.mem0.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:47.879316719Z" }, "versions": [ { "registry": "github", "name": "mem0ai/mem0", "version": "ts-v3.3.1", "released": "2026-09-25", "seenAt": "2026-10-09T17:04:45.93737747Z" }, { "registry": "mcp-registry", "name": "io.github.mem0ai/mem0", "version": "1.0.0", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "mem0ai", "version": "3.3.1", "seenAt": "2026-10-09T17:04:44.107939698Z" }, { "registry": "pypi", "name": "mem0ai", "version": "2.2.1", "released": "2026-09-25", "seenAt": "2026-10-09T17:04:43.987745432Z" } ], "githubStars": 66895, "npmWeekly": 171776, "pypiWeekly": 471085, "securityTxt": { "url": "https://mem0.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:21.76017042Z" }, "llmsTxt": { "url": "https://mem0.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:16.298157882Z" }, "domain": { "domain": "mem0.ai", "registered": "2024-05-15", "source": "https://rdap.identitydigital.services/rdap/domain/mem0.ai", "checkedAt": "2026-10-04T13:05:24.712383123Z" }, "pages": [ { "url": "https://docs.mem0.ai/changelog/platform", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:44.582866689Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "260709ea3b0d" }, { "url": "https://mem0.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:41:56.774914594Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a0e74db1e2b1" }, { "url": "https://mem0.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:41:58.941406857Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6ca47106ef6c" }, { "url": "https://mem0.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:42:01.086664355Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8cbc548b1c9a" } ], "updatedAt": "2026-10-10T02:07:15.764639339Z" } }, "answer": "Mem0 Platform + MCP scores 56.1 (C) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on reliability, payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "memory-reference-server", "name": "Memory (MCP reference server)", "vendor": "MCP project (reference servers)", "vendorUrl": "https://modelcontextprotocol.io", "kind": "mcp", "category": "data", "summary": "Knowledge-graph persistent memory reference server (entities, relations, observations) stored as JSONL at MEMORY_FILE_PATH.", "url": "https://www.anchorterminal.com/tools/memory-reference-server", "markdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memory-reference-server.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json", "repo": "https://github.com/modelcontextprotocol/servers", "license": "MIT and Apache-2.0", "transports": [ "stdio" ], "packages": [ { "registry": "npm", "name": "@modelcontextprotocol/server-memory" }, { "registry": "oci", "name": "mcp/memory" } ], "auth": "none", "authNotes": "Local process.", "pricing": "free", "pricingNotes": "Open source.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "Local reference server, no payments.", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 90000, "npmWeekly": 136349, "pypiWeekly": null, "asOf": "2026-09-26" }, "docsUrl": "https://github.com/modelcontextprotocol/servers/blob/main/src/memory/README.md", "capabilities": [ "memory.graph" ], "tags": [ "reference", "local", "open-source" ], "lastRelease": "2026-08-31", "graded": true, "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.", "anchor": { "graded": true, "score": 54.2, "grade": "C", "agentReady": false, "rank": 690, "ranked": true, "rankOf": 950, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 43, "payments": 60, "reliability": 52, "schema": 60, "security": 32, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.", "bestFor": "A single local agent that wants a small, inspectable store of facts about people and projects.", "disclosure": "MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.", "strengths": [ "Nine tools with typed schemas and accurate read, destructive and idempotent annotations", "Plain JSONL storage at a path you choose, easy to back up, diff and edit by hand", "Writes are atomic since 2026.8.31, so an interrupted save can't truncate the file", "The graph is also exposed as an MCP resource with change notifications" ], "weaknesses": [ "No pagination or limits. `read_graph` returns everything and `search_nodes` every match", "The published version can lose one of two writes made in the same turn. The fix is merged but unreleased", "Search is case-insensitive substring matching, with no ranking or semantics", "The default file location is inside the package directory, where a reinstall or cache clean can remove it", "No read-only mode, and stored text returns verbatim in later sessions" ], "agentNotes": [ "Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache", "Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities", "Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31", "Create both entities before `create_relations`. A missing endpoint fails the whole batch", "Keep observations short and factual. They come back verbatim in every later read" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.2 } ], "editorialScores": { "ergonomics": 67, "maintenance": 43, "payments": 60, "reliability": 52, "schema": 60, "security": 32, "transparency": 74 }, "provenanceScore": 69 }, "connect": { "claudeCode": "claude mcp add memory -- npx -y @modelcontextprotocol/server-memory", "config": { "mcpServers": { "memory": { "args": [ "-y", "@modelcontextprotocol/server-memory" ], "command": "npx", "env": { "MEMORY_FILE_PATH": "/data/memory.jsonl" } } } } }, "letme": { "capability": "https://letme.dev/memory.graph", "tool": "https://letme.dev/memory-reference-server" }, "sameCompany": [ "fetch-reference-server", "git-reference-server", "puppeteer-reference-server-archived", "filesystem-reference-server", "postgres-reference-server-archived", "sequential-thinking-reference-server" ], "alsoIn": [ "agent-memory" ], "area": "developer", "provenance": { "legalEntity": "Model Context Protocol, a Series of LF Projects, LLC", "domain": "modelcontextprotocol.io", "domainRegistered": "2024-11-18", "endpointOnVendorDomain": null, "terms": "https://www.lfprojects.org/policies/terms-of-use/", "privacy": "https://www.lfprojects.org/policies/privacy-policy/", "statusPage": "", "changelog": "https://github.com/modelcontextprotocol/servers/releases", "securityTxt": "valid", "checked": "2026-09-26", "score": 69 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/memory-reference-server.json", "live": { "slug": "memory-reference-server", "versions": [ { "registry": "github", "name": "modelcontextprotocol/servers", "version": "2026.8.31", "released": "2026-08-31", "seenAt": "2026-10-09T17:04:49.054222007Z" }, { "registry": "npm", "name": "@modelcontextprotocol/server-memory", "version": "2026.8.31", "seenAt": "2026-10-09T17:04:48.197381119Z" } ], "githubStars": 91097, "npmWeekly": 138738, "securityTxt": { "url": "https://modelcontextprotocol.io/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-09T15:40:28.044352527Z" }, "domain": { "domain": "modelcontextprotocol.io", "checkedAt": "2026-10-04T13:06:56.741922917Z" }, "updatedAt": "2026-10-09T17:04:49.054222007Z" } }, "facts": [ { "a": "HTTP API", "b": "MCP server", "name": "Kind" }, { "a": "Mem0", "b": "MCP project (reference servers)", "name": "Vendor" }, { "a": "https://api.mem0.ai", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "stdio", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "MIT and Apache-2.0", "name": "Licence" }, { "a": "11", "b": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "io.github.mem0ai/mem0", "b": "not listed", "name": "MCP registry" }, { "a": "2026-09-25", "b": "2026-08-31", "name": "Last release" }, { "a": "no date given", "b": "2021-09-08", "name": "Terms last updated" }, { "a": "no date given", "b": "2023-03-15", "name": "Privacy policy last updated" }, { "a": "yes", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "66k stars, 168k npm/wk, 502k PyPI/wk", "b": "90k stars, 136k npm/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Mem0 Platform + MCP scores 56.1 (C) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on reliability, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Mem0 Platform + MCP or Memory (MCP reference server)?" }, { "answer": "Mem0 Platform + MCP needs an API key. Memory (MCP reference server) needs no key.", "question": "Do Mem0 Platform + MCP and Memory (MCP reference server) need an API key?" }, { "answer": "Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai. Memory (MCP reference server) runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Mem0 Platform + MCP and Memory (MCP reference server) without installing anything?" }, { "answer": "Yes. Mem0 Platform + MCP is open source (Apache-2.0). Memory (MCP reference server) is open source (MIT and Apache-2.0).", "question": "Are Mem0 Platform + MCP and Memory (MCP reference server) open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 80 against 60", "Security \u0026 auth, 45 against 32", "Maintenance \u0026 community, 85 against 43" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Chat products that want per-user facts back with one search call and little setup.", "slug": "mem0", "watchFor": "Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026" }, { "aheadOn": [ "Reliability, 52 against 30", "Payments \u0026 pricing, 60 against 50", "Transparency \u0026 trust, 72 against 60" ], "also": [ "No key needed to call it", "Runs on your own machine" ], "goodFor": "A single local agent that wants a small, inspectable store of facts about people and projects.", "slug": "memory-reference-server", "watchFor": "No pagination or limits. `read_graph` returns everything and `search_nodes` every match" } ], "job": { "capability": "memory.store", "name": "Agent memory" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.json", "title": "Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.json", "title": "Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-mem0.json", "title": "Cognee vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/cognee-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.json", "title": "Cognee vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-mem0.json", "title": "Graphiti vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphiti-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.json", "title": "Graphiti vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-mem0.json", "title": "Hindsight vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.json", "title": "Hindsight vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-mem0.json", "title": "Honcho vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/honcho-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.json", "title": "Honcho vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-mem0.json", "title": "LangMem vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/langmem-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.json", "title": "LangMem vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-mem0.json", "title": "LocalGhost vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/localghost-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server.json", "title": "LocalGhost vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server" }, { "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/mem0-vs-zep.json", "title": "Mem0 Platform + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/mem0-vs-zep" }, { "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/memory-reference-server-vs-zep.json", "title": "Memory (MCP reference server) vs Zep", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-zep" } ], "scores": [ { "by": 22, "edge": "memory-reference-server", "key": "reliability", "mem0": 30, "memory-reference-server": 52, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 20, "edge": "mem0", "key": "schema", "mem0": 80, "memory-reference-server": 60, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 4, "edge": "memory-reference-server", "key": "ergonomics", "mem0": 63, "memory-reference-server": 67, "name": "Agent ergonomics", "weight": 13 }, { "by": 13, "edge": "mem0", "key": "security", "mem0": 45, "memory-reference-server": 32, "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "edge": "memory-reference-server", "key": "payments", "mem0": 50, "memory-reference-server": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 42, "edge": "mem0", "key": "maintenance", "mem0": 85, "memory-reference-server": 43, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 12, "edge": "memory-reference-server", "key": "transparency", "mem0": 60, "memory-reference-server": 72, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Mem0 Platform + MCP scores 56.1 (C) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on reliability, payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.", "verdicts": { "mem0": "An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.", "memory-reference-server": "Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server", "json": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md", "slim": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.min.md" }, "markdown": "Mem0 Platform + MCP scores 56.1 (C) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on reliability, payments \u0026 pricing and transparency \u0026 trust. Both do agent memory.\n\n- Mem0 Platform + MCP: grade C, 56.1/100, rank #639 of 950. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json\n- Memory (MCP reference server): grade C, 54.2/100, rank #690 of 950. Markdown https://www.anchorterminal.com/tools/memory-reference-server.md · JSON https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 55 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n- Best database, file and memory tools for AI agents: https://www.anchorterminal.com/best/data/index.md\n- All 43 databases comparisons: https://www.anchorterminal.com/compare/data/index.md\n\n## Which one, for what\n\n### Mem0 Platform + MCP (C)\n\nGood for: Chat products that want per-user facts back with one search call and little setup.\n\nAhead on:\n- Schema \u0026 documentation, 80 against 60\n- Security \u0026 auth, 45 against 32\n- Maintenance \u0026 community, 85 against 43\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026\n\n### Memory (MCP reference server) (C)\n\nGood for: A single local agent that wants a small, inspectable store of facts about people and projects.\n\nAhead on:\n- Reliability, 52 against 30\n- Payments \u0026 pricing, 60 against 50\n- Transparency \u0026 trust, 72 against 60\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n\nWatch for: No pagination or limits. `read_graph` returns everything and `search_nodes` every match\n\n\n## Score by category\n\n| Category | Weight | Mem0 Platform + MCP | Memory (MCP reference server) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 52 | Memory (MCP reference server) +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 60 | Mem0 Platform + MCP +20 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 67 | Memory (MCP reference server) +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 32 | Mem0 Platform + MCP +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 60 | Memory (MCP reference server) +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 43 | Mem0 Platform + MCP +42 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 72 | Memory (MCP reference server) +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **56.1 · C** | **54.2 · C** | |\n\n## Facts side by side\n\n| Fact | Mem0 Platform + MCP | Memory (MCP reference server) |\n| --- | --- | --- |\n| Kind | HTTP API | MCP server |\n| Vendor | Mem0 | MCP project (reference servers) |\n| Hosted endpoint | `https://api.mem0.ai` | no (local only) |\n| Transports | HTTP, Streamable HTTP | stdio |\n| Auth | API key | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT and Apache-2.0 |\n| Tools exposed | 11 | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | `io.github.mem0ai/mem0` | not listed |\n| Last release | 2026-09-25 | 2026-08-31 |\n| Terms last updated | no date given | 2021-09-08 |\n| Privacy policy last updated | no date given | 2023-03-15 |\n| Customer content may train models | yes | 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 | not found in the text |\n| Popularity | 66k stars, 168k npm/wk, 502k PyPI/wk | 90k stars, 136k npm/wk |\n| Agent reviews | 2.5/5 (2) | 2.5/5 (2) |\n\n## Verdicts\n\n**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.\n\n**Memory (MCP reference server).** Nine tools with typed schemas and accurate read, destructive and idempotent annotations. No pagination or limits. `read_graph` returns everything and `search_nodes` every match.\n\n## Before you call either\n\n### Mem0 Platform + MCP\n\n1. Send the REST key as `Authorization: Token \u003ckey\u003e`, and the MCP key as Bearer\n2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID\n3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users\n4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches\n5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size\n\n### Memory (MCP reference server)\n\n1. Set `MEMORY_FILE_PATH` to an absolute path. The default sits inside the npx cache\n2. Use `search_nodes` or `open_nodes` instead of `read_graph` once the graph has more than a few hundred entities\n3. Make memory writes one at a time. Parallel calls in one turn can overwrite each other in 2026.8.31\n4. Create both entities before `create_relations`. A missing endpoint fails the whole batch\n5. Keep observations short and factual. They come back verbatim in every later read\n\n## Questions\n\n### Which is better for AI agents, Mem0 Platform + MCP or Memory (MCP reference server)?\n\nMem0 Platform + MCP scores 56.1 (C) on agent readiness against Memory (MCP reference server)'s 54.2 (C), and leads in 3 of 7 scored categories. Memory (MCP reference server) leads on reliability, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Mem0 Platform + MCP and Memory (MCP reference server) need an API key?\n\nMem0 Platform + MCP needs an API key. Memory (MCP reference server) needs no key.\n\n### Can an agent call Mem0 Platform + MCP and Memory (MCP reference server) without installing anything?\n\nMem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai. Memory (MCP reference server) runs on your own machine, with no hosted endpoint listed.\n\n### Are Mem0 Platform + MCP and Memory (MCP reference server) open source?\n\nYes. Mem0 Platform + MCP is open source (Apache-2.0). Memory (MCP reference server) is open source (MIT and Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mem0\", \"b\": \"memory-reference-server\"}`. From a terminal: `anchor compare mem0 memory-reference-server`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mem0.json and https://www.anchorterminal.com/api/v1/tools/memory-reference-server.json\n\n## Other comparisons with Mem0 Platform + MCP or Memory (MCP reference server)\n\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/agentcore-memory-vs-memory-reference-server.md)\n- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)\n- [Cognee vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/cognee-vs-memory-reference-server.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/graphiti-vs-memory-reference-server.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Hindsight vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/honcho-vs-memory-reference-server.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LangMem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)\n- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)\n- [LocalGhost vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/localghost-vs-memory-reference-server.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [Memory (MCP reference server) vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memory-reference-server-vs-supermemory.md)\n- [Memory (MCP reference server) vs Zep](https://www.anchorterminal.com/compare/memory-reference-server-vs-zep.md)\n\n## Disclosure\n\n- MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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": "Mem0 Platform + MCP vs Memory (MCP reference server)", "url": "" } ], "description": "Mem0 Platform scores 56.1 (C) to Memory's 54.2 (C) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Mem0 Platform + MCP C 56.1", "Memory (MCP reference server) C 54.2", "scores" ], "h1": "Mem0 Platform + MCP vs Memory (MCP reference server)", "image": "https://www.anchorterminal.com/assets/og/compare-mem0-vs-memory-reference-server.png", "path": "/compare/mem0-vs-memory-reference-server", "published": "2026-10-01", "section": "tools", "title": "Mem0 Platform vs Memory for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-01", "url": "https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server" }, "tokens": { "markdown": 2600, "slim": 730 }, "version": 1 }