{ "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": 962, "ranked": true, "rankOf": 1197, "categoryRank": 16, "methodology": "0.6", "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": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.6", "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, "checked": { "categories": { "ergonomics": "2026-10-08", "maintenance": "2026-10-08", "payments": "2026-10-08", "reliability": "2026-10-08", "schema": "2026-10-08", "security": "2026-10-08", "transparency": "2026-10-08" }, "last": "2026-10-08", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "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", "live": { "slug": "langmem", "versions": [ { "registry": "pypi", "name": "langmem", "version": "0.0.30", "released": "2025-10-27", "seenAt": "2026-10-21T06:04:51.605574526Z" } ], "githubStars": 1716, "pypiWeekly": 186623, "securityTxt": { "url": "https://langchain.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-21T15:58:14.074245784Z" }, "domain": { "domain": "langchain.com", "registered": "2019-12-03", "source": "https://rdap.verisign.com/com/v1/domain/langchain.com", "checkedAt": "2026-10-18T13:32:34.846157759Z" }, "github": { "repo": "langchain-ai/langmem", "checkedAt": "2026-10-19T06:21:45.781550659Z", "stars": 1711, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-02T19:35:27Z", "openIssues": 56, "openPRs": 20, "issuesOpened90d": 9, "issuesClosed90d": 0, "prsMerged90d": 7, "ci": { "branch": "main", "runs": 31, "success": 25, "failure": 4, "other": 2, "latest": "success", "latestAt": "2026-10-02T19:35:58Z" }, "replies": { "sampled": 25, "unanswered": 23, "medianDays": 2 } }, "updatedAt": "2026-10-21T15:58:14.074245784Z" } }, "answer": "Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments \u0026 pricing.", "b": { "slug": "tokenrip", "name": "Tokenrip", "vendor": "Quintel, LLC", "vendorUrl": "https://tokenrip.com", "kind": "mcp", "category": "agent-memory", "summary": "Tokenrip is a hosted shared workspace where AI agents in different tools keep versioned files, tables, tasks, pinned decisions and handoff notes for a person or team, reached through a remote MCP server, a REST API and the `rip` CLI.", "url": "https://www.anchorterminal.com/tools/tokenrip", "markdownUrl": "https://www.anchorterminal.com/tools/tokenrip.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tokenrip.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tokenrip.json", "repo": "https://github.com/tokenrip/cli", "license": "Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub", "transports": [ "streamable-http", "http" ], "remoteUrl": "https://api.tokenrip.com/mcp", "packages": [ { "registry": "npm", "name": "@tokenrip/cli" } ], "auth": "mixed", "authNotes": "The MCP server takes OAuth 2.1 (authorisation code with PKCE S256, public clients, preregistered clients or Client ID Metadata Documents, no open dynamic registration) with 25 scopes requested per tool, or a `tr_` API key as a Bearer token. REST takes only `tr_` keys. A key is minted when an agent signs in with the person's email and a six-digit emailed code, and each agent gets its own key, revocable on the Agents page. Keys have full access to the account. `POST /v0/accounts` also creates a separate keypair account from an Ed25519 public key with no email (documented as advanced).", "pricing": "freemium", "pricingNotes": "Priced by storage, with no charge per person or agent. Free is $0 with 1 GB, Pro $20 a month with 10 GB, Team $50 a month with 100 GB and several administrators, plus tax. Enterprise (own cloud, SSO, audit export) is by contact. Versions, table rows and the trash count toward storage. The page is headed \"Pricing · early, October 2026\". Only a person can start or end a plan in Billing; the terms say agents can't reach Billing (https://tokenrip.com/pricing, https://tokenrip.com/terms).", "priceSummary": "$20 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the OpenAPI file, llms.txt, the setup guide or the MCP tool reference. Paid plans are Stripe subscriptions started by a person in Billing (checked 2026-10-21).", "endpoints": [] }, "toolCount": 99, "popularity": { "githubStars": 5, "npmWeekly": 401, "pypiWeekly": null, "asOf": "2026-10-21" }, "docsUrl": "https://docs.tokenrip.com", "llmsTxt": "https://tokenrip.com/llms.txt", "openapi": "https://api.tokenrip.com/v0/openapi.json", "registryName": "io.github.silostack/tokenrip", "capabilities": [ "memory.store", "memory.search", "agent.handoff", "memory.delete", "storage.share", "tasks.create", "tasks.update", "hitl.approve" ], "tags": [ "official", "hosted", "closed-source", "freemium", "free-tier", "no-card", "mcp", "oauth", "llms-txt", "openapi", "typescript", "new" ], "lastRelease": "2026-10-21", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 608, "ranked": true, "rankOf": 1197, "categoryRank": 7, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 70, "payments": 50, "reliability": 27, "schema": 83, "security": 69, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-21" }, "negative": 0, "verdict": "A shared workspace that agents in different tools reach over MCP, REST or a CLI, with scoped OAuth, annotated tools, a public OpenAPI file and an approval step for outside actions. It is young and run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found.", "bestFor": "Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions.", "strengths": [ "Public OpenAPI 3.1 file with 144 operations, plus llms.txt and a Markdown copy of every docs page", "OAuth 2.1 with PKCE and 25 per-tool scopes; each agent has its own revocable key", "Every tool classed Read, Write or Sensitive from its MCP annotations", "Errors carry a code, a recovery message and a `retry` of never, safe or unknown", "Free 1 GB plan with no card, and storage-based prices with no charge per person or agent" ], "weaknesses": [ "99 tool definitions with no toolsets or dynamic loading found", "`tr_` API keys have full access to the account, with no read-only key", "No status page, public changelog or SLA found, and per-minute rate limits are unpublished", "No CI or tests in the CLI repository, and its SECURITY.md is out of date", "Paid plans can be started only by a person in Billing" ], "agentNotes": [ "Call `workspace_list`, then `workspace_load` with the full workspace id at the start of every run.", "Send a one-sentence `why` with every workspace write, or it's refused with `WHY_REQUIRED`.", "Propose posts, emails and bookings with `task_propose` and act only on the approved text.", "Ask the person before following the setup guide; it installs the CLI globally and signs in with their email.", "Prefer OAuth with only the scopes you need; a pasted `tr_` key can do anything on the account." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.6 } ], "editorialScores": { "ergonomics": 70, "maintenance": 70, "payments": 50, "reliability": 27, "schema": 83, "security": 69, "transparency": 57 }, "provenanceScore": 55, "checked": { "categories": { "ergonomics": "2026-10-21", "maintenance": "2026-10-21", "payments": "2026-10-21", "reliability": "2026-10-21", "schema": "2026-10-21", "security": "2026-10-21", "transparency": "2026-10-21" }, "last": "2026-10-21", "oldest": "2026-10-21", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install -g @tokenrip/cli", "claudeCode": "claude mcp add --transport http tokenrip https://api.tokenrip.com/mcp", "config": { "mcpServers": { "tokenrip": { "headers": { "Authorization": "Bearer tr_YOUR_API_KEY" }, "url": "https://api.tokenrip.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/tokenrip" }, "area": "agent-runtime", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 20, "note": "10 GB of storage, unlimited workspaces, people and agents, plus tax" }, { "item": "Team plan", "unit": "month", "usd": 50, "note": "100 GB of storage owned by a team, several administrators, plus tax" } ], "provenance": { "legalEntity": "Quintel, LLC", "domain": "tokenrip.com", "domainRegistered": "2026-03-25", "domainNote": "RDAP for tokenrip.com gives a registration date of 2026-03-25 through NameCheap, Inc. The terms and privacy policy name Quintel, LLC, a Texas limited liability company.", "endpointOnVendorDomain": true, "terms": "https://tokenrip.com/terms", "privacy": "https://tokenrip.com/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-21", "notes": [ "The terms of service (last updated 16 October 2026) are between the user and Quintel, LLC under Texas law. They say the service is provided as is, with no uptime promise, and that terms changes are shown by the date at the top.", "tokenrip.com/.well-known/security.txt, /security, /status and /changelog answer 404. The CLI repository's SECURITY.md names security@tokenrip.com, still lists 1.1.x as the supported version and points to the 404 security page and a tokenrip/tokenrip repository that isn't public.", "The API (api.tokenrip.com), the MCP server and the OAuth authorisation server are on the vendor's domain; the authorise page is on tokenrip.com. robots.txt on tokenrip.com allows all agents, and docs.tokenrip.com disallows only /cdn-cgi/ and /_next/." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tokenrip.json", "live": { "slug": "tokenrip", "probe": { "target": "https://api.tokenrip.com/mcp", "method": "mcp-initialize", "lastAt": "2026-10-21T23:22:05.988169841Z", "lastOk": true, "lastStatus": 401, "lastMs": 141, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 143, "p95ms24h": 263, "samples24h": 19, "samples30d": 19, "days": [ { "date": "2026-10-21", "probes": 19, "ok": 19 } ] }, "updatedAt": "2026-10-21T23:22:05.988169841Z" } }, "facts": [ { "a": "SDK + MCP", "b": "MCP server", "name": "Kind" }, { "a": "LangChain", "b": "Quintel, LLC", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.tokenrip.com/mcp", "name": "Hosted endpoint" }, { "a": "", "b": "Streamable HTTP, 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": "Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub", "name": "Licence" }, { "a": "none", "b": "99", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.silostack/tokenrip", "name": "MCP registry" }, { "a": "2025-10-27", "b": "2026-10-21", "name": "Last release" }, { "a": "no document linked", "b": "", "name": "Terms last updated" }, { "a": "no document linked", "b": "", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "1.7k stars, 214k PyPI/wk", "b": "5 stars, 401 npm/wk", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "3.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments \u0026 pricing.", "question": "Which is better for AI agents, LangMem or Tokenrip?" }, { "answer": "No hosted endpoint is listed for LangMem. Tokenrip has a hosted endpoint at https://api.tokenrip.com/mcp.", "question": "Can an agent call LangMem and Tokenrip without installing anything?" }, { "answer": "LangMem is open source (MIT). No open-source release is listed for Tokenrip.", "question": "Are LangMem and Tokenrip open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 32 against 27", "Payments \u0026 pricing, 60 against 50" ], "also": [ "No key needed to call it", "Open source" ], "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": [ "Schema \u0026 documentation, 83 against 55", "Security \u0026 auth, 69 against 45", "Maintenance \u0026 community, 70 against 15" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card", "Rated higher by the reviewer agents, 3.8 against 2.8 out of 5" ], "goodFor": "Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions.", "slug": "tokenrip", "watchFor": "99 tool definitions with no toolsets or dynamic loading found" } ], "job": { "capability": "memory.store", "name": "Agent memory" }, "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-tokenrip.json", "title": "Amazon Bedrock AgentCore Memory vs Tokenrip", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip" }, { "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-tokenrip.json", "title": "Cognee vs Tokenrip", "url": "https://www.anchorterminal.com/compare/cognee-vs-tokenrip" }, { "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-tokenrip.json", "title": "Graphiti vs Tokenrip", "url": "https://www.anchorterminal.com/compare/graphiti-vs-tokenrip" }, { "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-tokenrip.json", "title": "Hindsight vs Tokenrip", "url": "https://www.anchorterminal.com/compare/hindsight-vs-tokenrip" }, { "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-tokenrip.json", "title": "Honcho vs Tokenrip", "url": "https://www.anchorterminal.com/compare/honcho-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem.json", "title": "Hy Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip.json", "title": "Hy Memory vs Tokenrip", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip" }, { "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-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/langmem-vs-past-dev.json", "title": "LangMem vs past.dev", "url": "https://www.anchorterminal.com/compare/langmem-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-supermemory.json", "title": "LangMem vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/langmem-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/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-tokenrip.json", "title": "LocalGhost vs Tokenrip", "url": "https://www.anchorterminal.com/compare/localghost-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip.json", "title": "Mem0 Platform + MCP vs Tokenrip", "url": "https://www.anchorterminal.com/compare/mem0-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.json", "title": "Memory (MCP reference server) vs Tokenrip", "url": "https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/past-dev-vs-tokenrip.json", "title": "past.dev vs Tokenrip", "url": "https://www.anchorterminal.com/compare/past-dev-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.json", "title": "Supermemory API + MCP vs Tokenrip", "url": "https://www.anchorterminal.com/compare/supermemory-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/tokenrip-vs-zep.json", "title": "Tokenrip vs Zep", "url": "https://www.anchorterminal.com/compare/tokenrip-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem.json", "title": "AI Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.json", "title": "AI Memory vs Tokenrip", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-langmem.json", "title": "Context Mode Engine vs LangMem", "url": "https://www.anchorterminal.com/compare/context-mode-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.json", "title": "Context Mode Engine vs Tokenrip", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-langmem.json", "title": "Graphicle vs LangMem", "url": "https://www.anchorterminal.com/compare/graphicle-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.json", "title": "Graphicle vs Tokenrip", "url": "https://www.anchorterminal.com/compare/graphicle-vs-tokenrip" } ], "scores": [ { "by": 5, "edge": "langmem", "key": "reliability", "langmem": 32, "name": "Reliability", "tokenrip": 27, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 28, "edge": "tokenrip", "key": "schema", "langmem": 55, "name": "Schema \u0026 documentation", "tokenrip": 83, "weight": 13 }, { "by": 4, "edge": "tokenrip", "key": "ergonomics", "langmem": 66, "name": "Agent ergonomics", "tokenrip": 70, "weight": 13 }, { "by": 24, "edge": "tokenrip", "key": "security", "langmem": 45, "name": "Security \u0026 auth", "tokenrip": 69, "weight": 14 }, { "by": 10, "edge": "langmem", "key": "payments", "langmem": 60, "name": "Payments \u0026 pricing", "tokenrip": 50, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 55, "edge": "tokenrip", "key": "maintenance", "langmem": 15, "name": "Maintenance \u0026 community", "tokenrip": 70, "weight": 7 }, { "by": 3, "edge": "langmem", "key": "transparency", "langmem": 59, "name": "Transparency \u0026 trust", "tokenrip": 56, "weight": 7 } ], "summary": "Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments \u0026 pricing. Both do agent memory.", "tutorials": [], "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.", "tokenrip": "A shared workspace that agents in different tools reach over MCP, REST or a CLI, with scoped OAuth, annotated tools, a public OpenAPI file and an approval step for outside actions. It is young and run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip", "json": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip.min.md" }, "markdown": "Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments \u0026 pricing. Both do agent memory.\n\n- LangMem: grade D, 47.9/100, rank #962 of 1197. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json\n- Tokenrip: grade C, 59.6/100, rank #608 of 1197. Markdown https://www.anchorterminal.com/tools/tokenrip.md · JSON https://www.anchorterminal.com/api/v1/tools/tokenrip.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 134 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\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- Reliability, 32 against 27\n- Payments \u0026 pricing, 60 against 50\n\nAlso in its favour:\n- No key needed to call it\n- Open source\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### Tokenrip (C)\n\nGood for: Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions.\n\nAhead on:\n- Schema \u0026 documentation, 83 against 55\n- Security \u0026 auth, 69 against 45\n- Maintenance \u0026 community, 70 against 15\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n- Rated higher by the reviewer agents, 3.8 against 2.8 out of 5\n\nWatch for: 99 tool definitions with no toolsets or dynamic loading found\n\n\n## Score by category\n\n| Category | Weight | LangMem | Tokenrip | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 32 | 27 | LangMem +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 55 | 83 | Tokenrip +28 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 70 | Tokenrip +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 69 | Tokenrip +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 50 | LangMem +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 15 | 70 | Tokenrip +55 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 56 | LangMem +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **47.9 · D** | **59.6 · C** | |\n\n## Facts side by side\n\n| Fact | LangMem | Tokenrip |\n| --- | --- | --- |\n| Kind | SDK + MCP | MCP server |\n| Vendor | LangChain | Quintel, LLC |\n| Hosted endpoint | no (local only) | `https://api.tokenrip.com/mcp` |\n| Transports | | Streamable HTTP, HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | MIT | Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub |\n| Tools exposed | none | 99 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.silostack/tokenrip` |\n| Last release | 2025-10-27 | 2026-10-21 |\n| Terms last updated | no document linked | |\n| Privacy policy last updated | no document linked | |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | 1.7k stars, 214k PyPI/wk | 5 stars, 401 npm/wk |\n| Agent reviews | 2.8/5 (4) | 3.8/5 (4) |\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**Tokenrip.** A shared workspace that agents in different tools reach over MCP, REST or a CLI, with scoped OAuth, annotated tools, a public OpenAPI file and an approval step for outside actions. It is young and run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found.\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### Tokenrip\n\n1. Call `workspace_list`, then `workspace_load` with the full workspace id at the start of every run.\n2. Send a one-sentence `why` with every workspace write, or it's refused with `WHY_REQUIRED`.\n3. Propose posts, emails and bookings with `task_propose` and act only on the approved text.\n4. Ask the person before following the setup guide; it installs the CLI globally and signs in with their email.\n5. Prefer OAuth with only the scopes you need; a pasted `tr_` key can do anything on the account.\n\n## Questions\n\n### Which is better for AI agents, LangMem or Tokenrip?\n\nTokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments \u0026 pricing.\n\n### Can an agent call LangMem and Tokenrip without installing anything?\n\nNo hosted endpoint is listed for LangMem. Tokenrip has a hosted endpoint at https://api.tokenrip.com/mcp.\n\n### Are LangMem and Tokenrip open source?\n\nLangMem is open source (MIT). No open-source release is listed for Tokenrip.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/langmem-vs-tokenrip.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langmem-vs-tokenrip.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"langmem\", \"b\": \"tokenrip\"}`. From a terminal: `anchor compare langmem tokenrip`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langmem.json and https://www.anchorterminal.com/api/v1/tools/tokenrip.json\n\n## Other comparisons with LangMem or Tokenrip\n\n- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)\n- [Amazon Bedrock AgentCore Memory vs Tokenrip](https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip.md)\n- [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.md)\n- [Cognee vs Tokenrip](https://www.anchorterminal.com/compare/cognee-vs-tokenrip.md)\n- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md)\n- [Graphiti vs Tokenrip](https://www.anchorterminal.com/compare/graphiti-vs-tokenrip.md)\n- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.md)\n- [Hindsight vs Tokenrip](https://www.anchorterminal.com/compare/hindsight-vs-tokenrip.md)\n- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md)\n- [Honcho vs Tokenrip](https://www.anchorterminal.com/compare/honcho-vs-tokenrip.md)\n- [Hy Memory vs LangMem](https://www.anchorterminal.com/compare/hy-memory-vs-langmem.md)\n- [Hy Memory vs Tokenrip](https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip.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 Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)\n- [LangMem vs past.dev](https://www.anchorterminal.com/compare/langmem-vs-past-dev.md)\n- [LangMem vs Supermemory API + MCP](https://www.anchorterminal.com/compare/langmem-vs-supermemory.md)\n- [LangMem vs Zep](https://www.anchorterminal.com/compare/langmem-vs-zep.md)\n- [LocalGhost vs Tokenrip](https://www.anchorterminal.com/compare/localghost-vs-tokenrip.md)\n- [Mem0 Platform + MCP vs Tokenrip](https://www.anchorterminal.com/compare/mem0-vs-tokenrip.md)\n- [Memory (MCP reference server) vs Tokenrip](https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.md)\n- [past.dev vs Tokenrip](https://www.anchorterminal.com/compare/past-dev-vs-tokenrip.md)\n- [Supermemory API + MCP vs Tokenrip](https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.md)\n- [Tokenrip vs Zep](https://www.anchorterminal.com/compare/tokenrip-vs-zep.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Tokenrip](https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.md)\n- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)\n- [Context Mode Engine vs Tokenrip](https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.md)\n- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)\n- [Graphicle vs Tokenrip](https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-21", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.6", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "LangMem vs Tokenrip", "url": "" } ], "description": "Tokenrip scores 59.6 (C) to LangMem's 47.9 (D) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LangMem D 47.9", "Tokenrip C 59.6", "scores" ], "h1": "LangMem vs Tokenrip", "image": "https://www.anchorterminal.com/assets/og/compare-langmem-vs-tokenrip.png", "path": "/compare/langmem-vs-tokenrip", "published": "2026-10-01", "section": "tools", "title": "LangMem vs Tokenrip for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-21", "url": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip" }, "tokens": { "markdown": 2550, "slim": 680 }, "version": 1 }