{ "data": { "a": { "slug": "langmem", "name": "LangMem", "vendor": "LangChain", "vendorUrl": "https://www.langchain.com", "kind": "sdk", "category": "agent-memory", "summary": "LangMem is LangChain's open-source Python library for long-term agent memory. It extracts facts from conversations with an LLM, stores and searches them in a LangGraph store the owner runs, and includes two memory tools, message summarisation and prompt optimisation.", "url": "https://www.anchorterminal.com/tools/langmem", "markdownUrl": "https://www.anchorterminal.com/tools/langmem.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langmem.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langmem.json", "repo": "https://github.com/langchain-ai/langmem", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "langmem" } ], "auth": "none", "authNotes": "The library has no account or key of its own. It runs in the owner's process and needs a key for the chosen LLM provider (the README uses `ANTHROPIC_API_KEY`) and, for semantic search, an embedding provider. Access to memories is whatever the owner's LangGraph store and namespace settings allow.", "pricing": "free", "pricingNotes": "Free under the MIT licence, with nothing to buy and no signup. The owner pays for the LLM calls that extract memories, the embedding calls behind search, and the database behind the store (https://github.com/langchain-ai/langmem).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1698, "npmWeekly": null, "pypiWeekly": 214379, "asOf": "2026-10-08" }, "docsUrl": "https://langchain-ai.github.io/langmem/", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "sdk", "open-source", "self-hosted", "local", "python", "free", "langgraph", "pre-1.0" ], "lastRelease": "2025-10-27", "graded": true, "anchor": { "graded": true, "score": 47.9, "grade": "D", "agentReady": false, "rank": 734, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 45, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.", "bestFor": "Teams already on LangGraph that want memory tools and background extraction over a store they run.", "strengths": [ "MIT licence, installed with `pip install -U langmem`, with no account, key or fee of its own", "Two agent tools, `manage_memory` and `search_memory`, with typed inputs, an action enum and `limit`, `offset` and `filter` on search", "`actions_permitted` limits the manage tool to any subset of create, update and delete, and `create_memory_store_manager` leaves deletes off by default", "Namespace templates such as `(\"memories\", \"{langgraph_user_id}\")` keep each user's memories apart at run time", "Works with any LangGraph `BaseStore`, including `InMemoryStore` for tests and `AsyncPostgresStore` for durable storage" ], "weaknesses": [ "The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that", "No changelog, GitHub releases or tags, and versions are still 0.0.x", "The repository's two workflows deploy docs and publish to PyPI. Neither runs the tests", "54 open issues, 23 with no comment, and 19 open pull requests, the oldest from June 2025", "No guidance on memory poisoning or prompt injection found, and two open issues asking for it (May 2026) have no reply" ], "agentNotes": [ "Pass a store with an embedding index (`index={\"dims\": 1536, \"embed\": \"openai:text-embedding-3-small\"}`), or `search_memory` cannot rank by meaning", "Use a database-backed store such as `AsyncPostgresStore` for anything that must survive a restart. `InMemoryStore` loses everything", "Put a per-user placeholder in the namespace and set it in `config[\"configurable\"]` on every call, or users share one memory space", "Send the memory `id` with `update` and `delete`, and never with `create`. A retried `create` writes a duplicate under a new UUID", "Run on Python 3.11 or later. `src/langmem/knowledge/extraction.py` uses `typing.NotRequired`, which Python 3.10 lacks" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.9 } ], "editorialScores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 45, "transparency": 63 }, "provenanceScore": 55 }, "connect": { "install": "pip install -U langmem" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/langmem" }, "sameCompany": [ "langgraph", "langsmith" ], "area": "agent-runtime", "provenance": { "legalEntity": "LangChain (the licence file gives no legal form)", "domain": "langchain.com", "domainRegistered": "2019-12-03", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "A library the owner runs, with no hosted endpoint. The code is on github.com under the langchain-ai organisation and the docs are on langchain-ai.github.io/langmem.", "The LICENSE file reads Copyright (c) 2025 LangChain. PyPI metadata names no author.", "No terms or privacy document governs the library, so both fields are left out. The MIT licence is the only agreement.", "No changelog file, GitHub releases or tags exist in the repository. PyPI's release history is the only record of versions.", "www.langchain.com/.well-known/security.txt returns 404. The organisation's SECURITY.md points to two Intigriti disclosure programmes.", "RDAP for langchain.com gives a registration date of 2019-12-03." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/langmem.json" }, "answer": "Supermemory API + MCP scores 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem 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 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": 348, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "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.", "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": [ "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": "0.4", "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": "2026-10-09T09:27:06.417032602Z", "lastOk": true, "lastStatus": 200, "lastMs": 406, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 305, "p95ms24h": 1388, "samples24h": 261, "samples30d": 2085, "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": 101, "ok": 101 } ] }, "vendorStatus": { "page": "https://status.supermemory.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:25:34.761251145Z" }, "versions": [ { "registry": "github", "name": "supermemoryai/supermemory", "version": "server-v0.0.8", "released": "2026-08-17", "seenAt": "2026-10-08T16:31:10.291614711Z" }, { "registry": "npm", "name": "supermemory", "version": "5.0.1", "seenAt": "2026-10-08T16:31:09.287421636Z" }, { "registry": "pypi", "name": "supermemory", "version": "5.0.0", "released": "2026-10-06", "seenAt": "2026-10-08T16:31:10.093730848Z" } ], "githubStars": 31162, "npmWeekly": 157280, "pypiWeekly": 45203, "securityTxt": { "url": "https://supermemory.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:34.140010918Z" }, "llmsTxt": { "url": "https://supermemory.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:55.319069895Z" }, "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": 304, "checkedAt": "2026-10-08T18:25:01.940925082Z", "changedAt": "2026-10-07T18:09:50.274007605Z", "fingerprint": "4c120a0b7e87" }, { "url": "https://supermemory.ai/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:25:03.970060629Z", "changedAt": "2026-10-07T18:09:52.372140886Z", "fingerprint": "4b69fe20eed9" }, { "url": "https://supermemory.ai/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:25:05.999232594Z", "changedAt": "2026-10-07T18:09:54.371218859Z", "fingerprint": "4cef8c4c2134" }, { "url": "https://supermemory.ai/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:25:07.967559656Z", "changedAt": "2026-10-07T18:09:56.309138329Z", "fingerprint": "6498e9eb1ca2" } ], "updatedAt": "2026-10-09T09:27:06.417032602Z" } }, "facts": [ { "a": "SDK + MCP", "b": "HTTP API", "name": "Kind" }, { "a": "LangChain", "b": "Supermemory", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.supermemory.ai", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "MIT", "name": "Licence" }, { "a": "none", "b": "8", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2025-10-27", "b": "2026-09-21", "name": "Last release" }, { "a": "no document linked", "b": "2025-06-02", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-09-29", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "1.7k stars, 214k 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 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem leads on payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, LangMem or Supermemory API + MCP?" }, { "answer": "No hosted endpoint is listed for LangMem. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.", "question": "Can an agent call LangMem and Supermemory API + MCP without installing anything?" }, { "answer": "Yes. LangMem is open source (MIT). Supermemory API + MCP is open source (MIT).", "question": "Are LangMem and Supermemory API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 30", "Transparency \u0026 trust, 59 against 49" ], "also": [ "No key needed to call it" ], "goodFor": "Teams already on LangGraph that want memory tools and background extraction over a store they run.", "slug": "langmem", "watchFor": "The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that" }, { "aheadOn": [ "Reliability, 65 against 32", "Schema \u0026 documentation, 85 against 55", "Agent ergonomics, 73 against 66", "Security \u0026 auth, 54 against 45", "Maintenance \u0026 community, 85 against 15" ], "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 legal entity named in the terms or privacy policy" } ], "job": { "capability": "memory.store", "name": "Memory store" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.json", "title": "Amazon Bedrock AgentCore Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem" }, { "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/cognee-vs-langmem.json", "title": "Cognee vs LangMem", "url": "https://www.anchorterminal.com/compare/cognee-vs-langmem" }, { "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/graphiti-vs-langmem.json", "title": "Graphiti vs LangMem", "url": "https://www.anchorterminal.com/compare/graphiti-vs-langmem" }, { "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-langmem.json", "title": "Hindsight vs LangMem", "url": "https://www.anchorterminal.com/compare/hindsight-vs-langmem" }, { "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-langmem.json", "title": "Honcho vs LangMem", "url": "https://www.anchorterminal.com/compare/honcho-vs-langmem" }, { "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/langmem-vs-localghost.json", "title": "LangMem vs LocalGhost", "url": "https://www.anchorterminal.com/compare/langmem-vs-localghost" }, { "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-zep.json", "title": "LangMem vs Zep", "url": "https://www.anchorterminal.com/compare/langmem-vs-zep" }, { "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-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/supermemory-vs-zep.json", "title": "Supermemory API + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/supermemory-vs-zep" } ], "scores": [ { "by": 33, "edge": "supermemory", "key": "reliability", "langmem": 32, "name": "Reliability", "supermemory": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 30, "edge": "supermemory", "key": "schema", "langmem": 55, "name": "Schema \u0026 documentation", "supermemory": 85, "weight": 13 }, { "by": 7, "edge": "supermemory", "key": "ergonomics", "langmem": 66, "name": "Agent ergonomics", "supermemory": 73, "weight": 13 }, { "by": 9, "edge": "supermemory", "key": "security", "langmem": 45, "name": "Security \u0026 auth", "supermemory": 54, "weight": 14 }, { "by": 30, "edge": "langmem", "key": "payments", "langmem": 60, "name": "Payments \u0026 pricing", "supermemory": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 70, "edge": "supermemory", "key": "maintenance", "langmem": 15, "name": "Maintenance \u0026 community", "supermemory": 85, "weight": 7 }, { "by": 10, "edge": "langmem", "key": "transparency", "langmem": 59, "name": "Transparency \u0026 trust", "supermemory": 49, "weight": 7 } ], "summary": "Supermemory API + MCP scores 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem leads on payments \u0026 pricing and transparency \u0026 trust. Both do memory store.", "verdicts": { "langmem": "Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.", "supermemory": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/langmem-vs-supermemory", "json": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.md", "slim": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.min.md" }, "markdown": "Supermemory API + MCP scores 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem leads on payments \u0026 pricing and transparency \u0026 trust. Both do memory store.\n\n- LangMem: grade D, 47.9/100, rank #734 of 842. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json\n- Supermemory API + MCP: grade B, 63.6/100, rank #348 of 842. 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\n### LangMem (D)\n\nGood for: Teams already on LangGraph that want memory tools and background extraction over a store they run.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n- Transparency \u0026 trust, 59 against 49\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that\n\n### Supermemory API + MCP (B)\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- Reliability, 65 against 32\n- Schema \u0026 documentation, 85 against 55\n- Agent ergonomics, 73 against 66\n- Security \u0026 auth, 54 against 45\n- Maintenance \u0026 community, 85 against 15\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No legal entity named in the terms or privacy policy\n\n\n## Score by category\n\n| Category | Weight | LangMem | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 32 | 65 | Supermemory API + MCP +33 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 55 | 85 | Supermemory API + MCP +30 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 73 | Supermemory API + MCP +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 54 | Supermemory API + MCP +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | LangMem +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 15 | 85 | Supermemory API + MCP +70 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 49 | LangMem +10 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **47.9 · D** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | LangMem | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | LangChain | Supermemory |\n| Hosted endpoint | no (local only) | `https://api.supermemory.ai` |\n| Transports | | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Tools exposed | none | 8 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2025-10-27 | 2026-09-21 |\n| Terms last updated | no document linked | 2025-06-02 |\n| Privacy policy last updated | no document linked | 2026-09-29 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 1.7k stars, 214k PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**LangMem.** Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.\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### LangMem\n\n1. Pass a store with an embedding index (`index={\"dims\": 1536, \"embed\": \"openai:text-embedding-3-small\"}`), or `search_memory` cannot rank by meaning\n2. Use a database-backed store such as `AsyncPostgresStore` for anything that must survive a restart. `InMemoryStore` loses everything\n3. Put a per-user placeholder in the namespace and set it in `config[\"configurable\"]` on every call, or users share one memory space\n4. Send the memory `id` with `update` and `delete`, and never with `create`. A retried `create` writes a duplicate under a new UUID\n5. Run on Python 3.11 or later. `src/langmem/knowledge/extraction.py` uses `typing.NotRequired`, which Python 3.10 lacks\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## Questions\n\n### Which is better for AI agents, LangMem or Supermemory API + MCP?\n\nSupermemory API + MCP scores 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem leads on payments \u0026 pricing and transparency \u0026 trust.\n\n### Can an agent call LangMem and Supermemory API + MCP without installing anything?\n\nNo hosted endpoint is listed for LangMem. Supermemory API + MCP has a hosted endpoint at https://api.supermemory.ai.\n\n### Are LangMem and Supermemory API + MCP open source?\n\nYes. LangMem is open source (MIT). Supermemory API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/langmem-vs-supermemory.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langmem-vs-supermemory.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"langmem\", \"b\": \"supermemory\"}`. From a terminal: `anchor compare langmem supermemory`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langmem.json and https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Other comparisons with LangMem or Supermemory API + MCP\n\n- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)\n- [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md)\n- [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md)\n- [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [LangMem vs LocalGhost](https://www.anchorterminal.com/compare/langmem-vs-localghost.md)\n- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)\n- [LangMem vs Zep](https://www.anchorterminal.com/compare/langmem-vs-zep.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": "2026-10-09", "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": "LangMem vs Supermemory API + MCP", "url": "" } ], "description": "Supermemory API + MCP scores 63.6 (B) on agent readiness against LangMem's 47.9 (D), and leads in 5 of 7 scored categories. LangMem leads on payments \u0026 pricing and transparency \u0026 trust. Both do memory store. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "LangMem D 47.9", "Supermemory API + MCP B 63.6", "scores" ], "h1": "LangMem vs Supermemory API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-langmem-vs-supermemory.png", "path": "/compare/langmem-vs-supermemory", "published": "2026-10-01", "section": "tools", "title": "LangMem vs Supermemory API + MCP for AI agents, D 47.9 vs B 63.6", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/langmem-vs-supermemory" }, "tokens": { "markdown": 2100, "slim": 730 }, "version": 1 }