{ "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", "dns": "langmem.grade.anchorterminal.com", "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": null, "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": 47.7, "grade": "D", "agentReady": false, "rank": 1132, "ranked": true, "rankOf": 1486, "categoryRank": 23, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 42, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "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 version, 0.0.30, was set in September 2025 and the library code last changed in July 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues lacked replies in October.", "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": [ "No release found in over a year. The newest version, 0.0.30, was set on 9 September 2025, and no commit has changed `src` since 28 July 2025", "No changelog, GitHub releases or tags, and versions are still 0.0.x", "The repository's two workflows deploy docs and publish to PyPI by manual dispatch. Neither runs the tests", "54 open issues, 23 with no comment, and 19 open pull requests, the oldest from June 2025 (8 October count)", "No guidance on memory poisoning or prompt injection found, and two open issues asking for it (May 2026) had 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": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.7 } ], "editorialScores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 42, "transparency": 63 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "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": "2026-11-04", "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.", "No terms or privacy document governs the library, so both fields are left out. The MIT licence is the only agreement. LangChain's Terms of Service (last updated 2 June 2026) govern the LangSmith Platform, not this library.", "No changelog file, GitHub releases or tags exist in the repository.", "The organisation's SECURITY.md points to two Intigriti disclosure programmes. No security.txt was found on www.langchain.com (per the 1 November LangGraph re-check)." ], "score": 62 }, "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": "2026-11-06T23:38:37.634686509Z" } ], "githubStars": 1750, "pypiWeekly": 190323, "securityTxt": { "url": "https://langchain.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:25.158914764Z" }, "domain": { "domain": "langchain.com", "registered": "2019-12-03", "source": "https://rdap.verisign.com/com/v1/domain/langchain.com", "checkedAt": "2026-11-01T14:16:16.486101867Z" }, "github": { "repo": "langchain-ai/langmem", "checkedAt": "2026-11-02T08:59:39.174765749Z", "stars": 1743, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-30T19:35:59Z", "openIssues": 58, "openPRs": 23, "issuesOpened90d": 10, "issuesClosed90d": 0, "prsMerged90d": 8, "ci": { "branch": "main", "runs": 33, "success": 27, "failure": 4, "other": 2, "latest": "success", "latestAt": "2026-10-30T19:36:27Z" }, "replies": { "sampled": 25, "unanswered": 23, "medianDays": 2 } }, "updatedAt": "2026-11-07T16:00:25.158914764Z" } }, "answer": "LangMem scores 47.7 (D) on agent readiness against Memori's 44.2 (E), and leads in 4 of 7 scored categories. Memori leads on schema \u0026 documentation and maintenance \u0026 community.", "b": { "slug": "memori", "name": "Memori", "vendor": "Memori Labs Inc.", "vendorUrl": "https://memorilabs.ai", "kind": "sdk", "category": "agent-memory", "summary": "Memori is a memory layer from Memori Labs that wraps an app's LLM client to capture conversations and agent traces, extract facts and recall them into later prompts, through Python and TypeScript SDKs, a CLI and a hosted MCP endpoint.", "url": "https://www.anchorterminal.com/tools/memori", "markdownUrl": "https://www.anchorterminal.com/tools/memori.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/memori.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/memori.json", "dns": "memori.grade.anchorterminal.com", "repo": "https://github.com/MemoriLabs/Memori", "license": "Apache-2.0", "transports": [ "streamable-http" ], "remoteUrl": "https://api.memorilabs.ai/mcp/", "packages": [ { "registry": "pypi", "name": "memori" }, { "registry": "npm", "name": "@memorilabs/memori" } ], "auth": "api-key", "authNotes": "Memori Cloud and the MCP endpoint take an API key, `X-Memori-API-Key` on MCP and a bearer token in the SDK. Keys come from app.memorilabs.ai or a CLI signup by email. Own-database mode works without a key, using a built-in anonymous key with a quota of 100 augmentations a month.", "pricing": "freemium", "pricingNotes": "A free key gives 5,000 Advanced Augmentation calls a month, per the docs; 100 a month without a key. Paid plans are sold through sales from $60,000 a year (Team) and $150,000 (Business), with Enterprise priced privately.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the SDK source, docs, llms.txt or pricing page (checked 2026-11-06).", "endpoints": [] }, "toolCount": 7, "popularity": { "githubStars": 17446, "npmWeekly": 130, "pypiWeekly": 3781, "asOf": "2026-11-06" }, "docsUrl": "https://memorilabs.ai/docs/memori-cloud/", "llmsTxt": "https://memorilabs.ai/llms.txt", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.graph" ], "tags": [ "open-source", "hosted", "freemium", "free-tier", "apache-2.0", "python", "typescript", "cli", "mcp", "remote-mcp", "llms-txt", "sales-led" ], "lastRelease": "2026-05-27", "graded": true, "anchor": { "graded": true, "score": 44.2, "grade": "E", "agentReady": false, "rank": 1214, "ranked": true, "rankOf": 1486, "categoryRank": 25, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 33, "payments": 45, "reliability": 28, "schema": 68, "security": 45, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -4, "negativeNotes": [ "-4: misleading claim, confirmed first-hand on 6 November 2026. The BYODB architecture page says \"All data stays on your infrastructure\" and that storage has \"no external dependencies\" (https://memorilabs.ai/docs/memori-byodb/concepts/architecture), but the SDK's Advanced Augmentation posts conversation messages, the conversation summary and the system prompt to https://api.memorilabs.ai/sdk/augmentation, using a built-in anonymous key when the user has none (https://github.com/MemoriLabs/Memori/blob/main/memori/memory/augmentation/augmentations/memori/_augmentation.py and memori/_network.py). The FAQ's mention of augmentation quotas hints at the call but doesn't say conversations leave the user's infrastructure." ], "verdict": "Memori wraps an app's LLM client to capture conversations and recall facts, through Apache-2.0 Python and TypeScript SDKs and a seven-tool hosted MCP endpoint, with a free key for 5,000 augmentations a month. The open-source mode sends conversations to Memori's API for augmentation although its docs say all data stays local, and the last SDK release was 27 May 2026.", "bestFor": "Memory captured from LLM calls for apps that already use OpenAI, Anthropic or Gemini clients.", "strengths": [ "Python and TypeScript SDKs under Apache-2.0 that register an existing LLM client and recall memories into the prompt", "Hosted MCP endpoint with seven documented tools, including recall, summary, compaction and quota checks", "A free key with 5,000 augmentations a month can be requested from the CLI or the `memori_signup` tool by email", "Keep a Changelog with semantic versioning declared, and docs served with llms.txt", "Own-database mode supports SQLite, PostgreSQL, MySQL, MongoDB, Oracle, TiDB and others" ], "weaknesses": [ "Own-database mode posts conversation messages, a summary and the system prompt to api.memorilabs.ai for augmentation, while the architecture page says all data stays on your infrastructure", "Last SDK release 3.3.6 on 27 May 2026, with no release in the 90 days to 6 November", "Paid plans start at $60,000 a year through sales, with an SLA only on Enterprise", "No status page, rate limits or terms of service page found", "The Claude Code skill tells the agent to trigger recall on essentially every non-trivial user turn" ], "agentNotes": [ "Expect own-database mode to send conversations to api.memorilabs.ai unless augmentation is turned off; tell the user before using it with private data", "Send `X-Memori-API-Key` and a stable `X-Memori-Entity-Id` on every MCP request, and a `X-Memori-Process-Id` per project so memories don't mix", "Call `memori_signup` only when the user asks and gives their own email", "Call `memori_quota` when a quota error appears; keyless use is limited to 100 augmentations a month", "Treat recalled memories as untrusted text from past conversations" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 44.2 } ], "editorialScores": { "ergonomics": 65, "maintenance": 33, "payments": 45, "reliability": 28, "schema": 68, "security": 45, "transparency": 46 }, "provenanceScore": 58, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install memori # or npm install @memorilabs/memori", "claudeCode": "claude mcp add memori --transport http https://api.memorilabs.ai/mcp/ --header 'X-Memori-API-Key: YOUR_MEMORI_API_KEY' --header 'X-Memori-Entity-Id: user_123'", "config": { "mcpServers": { "memori": { "headers": { "X-Memori-API-Key": "YOUR_MEMORI_API_KEY", "X-Memori-Entity-Id": "user_123" }, "url": "https://api.memorilabs.ai/mcp/" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/memori" }, "area": "agent-runtime", "provenance": { "legalEntity": "Memori Labs Inc.", "domain": "memorilabs.ai", "domainRegistered": "2025-10-16", "endpointOnVendorDomain": true, "terms": "", "privacy": "https://memorilabs.ai/privacy/", "statusPage": "", "changelog": "https://github.com/MemoriLabs/Memori/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy, last updated 16 July 2026, refers to separate terms of service, but no terms page was found in the sitemap or at /terms, /terms-of-service or /legal/terms (all 404).", "memorilabs.ai/robots.txt allows all crawlers.", "RDAP gives memorilabs.ai a registration date of 16 October 2025, later than the repository (24 July 2025).", "/.well-known/security.txt returns 404. status.memorilabs.ai did not answer. The pricing page links a trust centre at memori-labs.trust.site, which timed out." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/memori.json", "live": { "slug": "memori", "probe": { "target": "https://api.memorilabs.ai/mcp/", "method": "mcp-initialize", "lastAt": "2026-11-07T18:20:38.542872618Z", "lastOk": true, "lastStatus": 401, "lastMs": 368, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 270, "p95ms24h": 361, "samples24h": 200, "samples30d": 200, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "versions": [ { "registry": "github", "name": "MemoriLabs/Memori", "version": "v3.3.6", "released": "2026-05-28", "seenAt": "2026-11-06T23:44:00.658786718Z" }, { "registry": "npm", "name": "@memorilabs/memori", "version": "0.0.11", "seenAt": "2026-11-06T23:44:00.185501382Z" }, { "registry": "pypi", "name": "memori", "version": "3.3.6", "released": "2026-05-28", "seenAt": "2026-11-06T23:44:00.000273764Z" } ], "githubStars": 17448, "npmWeekly": 130, "pypiWeekly": 3781, "securityTxt": { "url": "https://memorilabs.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:51.635644364Z" }, "llmsTxt": { "url": "https://memorilabs.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:59.605618502Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/MemoriLabs/Memori/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:18:47.202866715Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "4f28fd41f6ed" }, { "url": "https://memorilabs.ai/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:14:13.209756014Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "29e786d80880" } ], "mcpTools": { "url": "https://api.memorilabs.ai/mcp/", "checkedAt": "2026-11-07T01:46:13.890822383Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:46:13.890822383Z" }, "updatedAt": "2026-11-07T18:20:38.542872618Z" } }, "edges": [ { "by": 18, "category": "maintenance", "leads": "memori", "name": "Maintenance \u0026 community", "reasons": { "a": "No release found in the last 180 days. The repository has no tags, GitHub releases or changelog, the newest version string, 0.0.30, was set in `pyproject.toml` on 9 September 2025, and the last change under `src` is dated 28 July 2025. PyPI's release dates could not be read on 4 November (0). No release in the last 90 days (0). Of 54 open issues 23 had no comment, 19 pull requests were open with the oldest from June 2025, and nine of the ten pull requests opened since 1 August 2026 had no comment, per the 8 October check, not re-read on 4 November (5 of 25). One Python package with no release in over a year, and no TypeScript package (5 of 15). Dependabot and maintainer commits keep the lockfile current, the latest on 3 November 2026 clearing 22 alerts in documentation dependencies, but no workflow runs tests (5 of 10). 0+0+5+5+5 = 15.", "b": "SDK 3.3.6 on 27 May 2026, 163 days before the check (10). No release in the 90 days to 6 November (0). Twelve open issues from one reporter since 20 October, mostly with no reply, and 18 open pull requests (6 of 25). Python and TypeScript SDKs, last released in May 2026 (12 of 15). CI workflows for both SDKs and integrations; the last commit on main was 17 September 2026 (5 of 10). Total 33." }, "scores": { "a": 15, "b": 33 } }, { "by": 15, "category": "payments", "leads": "langmem", "name": "Payments \u0026 pricing", "reasons": { "a": "MIT-licensed package the owner runs, with nothing to buy for LangMem itself, read with the self-hosted rule. 20 for pricing, 20 for a free start and 20 for use without an account. No x402, MPP or L402 in the docs or source (0). LLM, embedding and database costs are the owner's.", "b": "No x402, MPP or L402 (0 of 40). Plan prices are public but sales-led, from $60,000 a year (10). A free key with 5,000 augmentations a month, with no card mentioned (20). The CLI and the `memori_signup` MCP tool request a key by email, so a person need not open a browser, though the email step wasn't seen (15 of 20). Total 45." }, "scores": { "a": 60, "b": 45 } }, { "by": 13, "category": "schema", "leads": "memori", "name": "Schema \u0026 documentation", "reasons": { "a": "Library reading, with the tool lines applied to the two agent tools. No OpenAPI applies. Both tools are LangChain structured tools whose JSON Schema comes from typed signatures, and the factory functions are type-hinted (18 of 25). langchain-ai.github.io/langmem/llms.txt returns 404 (0). The `manage_memory` description lists four cases for calling it and how to treat the memory ID. `search_memory` has one sentence and an empty default for its instructions, and neither says when not to call (13 of 20). `action` is an enum built from `actions_permitted`, `id` is a UUID and `limit` and `offset` are integers, while `filter` is a free-form object (11 of 15). Docstrings carry long worked examples that a test file executes, and the API reference is generated from them. Error behaviour is not documented (10 of 15). Version numbers exist only on PyPI, with no changelog (3 of 15).", "b": "No OpenAPI for the REST API, and the MCP tool schemas couldn't be read without opening a session, so the docs' parameter lists are what was scored (12 of 25). llms.txt with Markdown docs for both modes (10). Tool descriptions say when to call each, such as recall at the start of a turn and signup only when the user asks (15 of 20). Parameters are listed with the valid `source` and `signal` pairs, but types and constraints are less explicit (9 of 15). Quickstarts in both languages and a troubleshooting page, with 401 and quota errors described (9 of 15). Keep a Changelog with semantic versioning (13 of 15). Total 68." }, "scores": { "a": 55, "b": 68 } }, { "by": 11, "category": "transparency", "leads": "langmem", "name": "Transparency \u0026 trust", "reasons": { "a": "MIT licence in the repository and on PyPI (30). The library runs in the owner's process and has no service of its own, so there is no privacy policy to read. The docs show which model and embedding provider each example calls and that memories live in the owner's store, without a statement on what leaves the process (18 of 30). No deprecation policy or dated notices were found (0 of 20). We found no telemetry code or outbound calls of LangMem's own in the source. Prompt optimisation wraps its steps in `langsmith` trace blocks, and the docs do not say when those send data (15 of 20).", "b": "Apache-2.0 per the LICENSE text, though GitHub reports it as NOASSERTION (30). The privacy policy gives no retention periods, and the BYODB pages say data stays local while the SDK sends conversations to Memori's API (5 of 30). Changelog entries but no deprecation policy or notices (5 of 20). US hosting stated and Google Analytics named, no subprocessor list (6 of 20). Total 46." }, "scores": { "a": 63, "b": 52 } } ], "facts": [ { "a": "SDK + MCP", "b": "SDK + MCP", "name": "Kind" }, { "a": "LangChain", "b": "Memori Labs Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.memorilabs.ai/mcp/", "name": "Hosted endpoint" }, { "a": "", "b": "Streamable HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "none", "b": "7", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2025-10-27", "b": "2026-05-27", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "1.7k stars", "b": "17k stars, 130 npm/wk, 3.8k PyPI/wk", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "LangMem scores 47.7 (D) on agent readiness against Memori's 44.2 (E), and leads in 4 of 7 scored categories. Memori leads on schema \u0026 documentation and maintenance \u0026 community.", "question": "Which is better for AI agents, LangMem or Memori?" }, { "answer": "Yes. LangMem is open source (MIT). Memori is open source (Apache-2.0).", "question": "Are LangMem and Memori open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 45", "Transparency \u0026 trust, 63 against 52" ], "also": [ "No key needed to call it", "No incidents deducted, where Memori loses 4 points for them" ], "goodFor": "Teams already on LangGraph that want memory tools and background extraction over a store they run.", "slug": "langmem", "watchFor": "No release found in over a year. The newest version, 0.0.30, was set on 9 September 2025, and no commit has changed `src` since 28 July 2025" }, { "aheadOn": [ "Schema \u0026 documentation, 68 against 55", "Maintenance \u0026 community, 33 against 15" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Memory captured from LLM calls for apps that already use OpenAI, Anthropic or Gemini clients.", "slug": "memori", "watchFor": "Own-database mode posts conversation messages, a summary and the system prompt to api.memorilabs.ai for augmentation, while the architecture page says all data stays on your infrastructure" } ], "history": { "langmem": [ { "causes": [ "correction" ], "date": "2026-11-04", "delta": -0.6, "from": 48.3, "fromGrade": "D", "to": 47.7, "toGrade": "D" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 47.9, "fromGrade": "D", "to": 48.3, "toGrade": "D" } ], "memori": null }, "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-memori.json", "title": "Amazon Bedrock AgentCore Memory vs Memori", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-langmem.json", "title": "Basic Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-memori.json", "title": "Basic Memory vs Memori", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-langmem.json", "title": "claude-mem vs LangMem", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-memori.json", "title": "claude-mem vs Memori", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-memori" }, { "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-memori.json", "title": "Cognee vs Memori", "url": "https://www.anchorterminal.com/compare/cognee-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-langmem.json", "title": "EverOS vs LangMem", "url": "https://www.anchorterminal.com/compare/everos-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memori.json", "title": "EverOS vs Memori", "url": "https://www.anchorterminal.com/compare/everos-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem.json", "title": "Agent Platform Memory Bank vs LangMem", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memori.json", "title": "Agent Platform Memory Bank vs Memori", "url": "https://www.anchorterminal.com/compare/google-memory-bank-vs-memori" }, { "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-memori.json", "title": "Graphiti vs Memori", "url": "https://www.anchorterminal.com/compare/graphiti-vs-memori" }, { "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-memori.json", "title": "Hindsight vs Memori", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memori" }, { "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-memori.json", "title": "Honcho vs Memori", "url": "https://www.anchorterminal.com/compare/honcho-vs-memori" }, { "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-memori.json", "title": "Hy Memory vs Memori", "url": "https://www.anchorterminal.com/compare/hy-memory-vs-memori" }, { "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-memmachine.json", "title": "LangMem vs MemMachine", "url": "https://www.anchorterminal.com/compare/langmem-vs-memmachine" }, { "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-mempalace.json", "title": "LangMem vs MemPalace", "url": "https://www.anchorterminal.com/compare/langmem-vs-mempalace" }, { "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-tencentdb-agent-memory.json", "title": "LangMem vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/langmem-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip.json", "title": "LangMem vs Tokenrip", "url": "https://www.anchorterminal.com/compare/langmem-vs-tokenrip" }, { "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-memori.json", "title": "LocalGhost vs Memori", "url": "https://www.anchorterminal.com/compare/localghost-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-memori.json", "title": "Mem0 Platform + MCP vs Memori", "url": "https://www.anchorterminal.com/compare/mem0-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/memmachine-vs-memori.json", "title": "MemMachine vs Memori", "url": "https://www.anchorterminal.com/compare/memmachine-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-memory-reference-server.json", "title": "Memori vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/memori-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-mempalace.json", "title": "Memori vs MemPalace", "url": "https://www.anchorterminal.com/compare/memori-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-past-dev.json", "title": "Memori vs past.dev", "url": "https://www.anchorterminal.com/compare/memori-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-supermemory.json", "title": "Memori vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/memori-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-tencentdb-agent-memory.json", "title": "Memori vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/memori-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-tokenrip.json", "title": "Memori vs Tokenrip", "url": "https://www.anchorterminal.com/compare/memori-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/memori-vs-zep.json", "title": "Memori vs Zep", "url": "https://www.anchorterminal.com/compare/memori-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-memori.json", "title": "AI Memory vs Memori", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-memori" }, { "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-memori.json", "title": "Context Mode Engine vs Memori", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memori" }, { "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-memori.json", "title": "Graphicle vs Memori", "url": "https://www.anchorterminal.com/compare/graphicle-vs-memori" } ], "panel": null, "scores": [ { "by": 4, "edge": "langmem", "key": "reliability", "langmem": 32, "memori": 28, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 13, "edge": "memori", "key": "schema", "langmem": 55, "memori": 68, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 1, "edge": "langmem", "key": "ergonomics", "langmem": 66, "memori": 65, "name": "Agent ergonomics", "weight": 13 }, { "by": 3, "edge": "memori", "key": "security", "langmem": 42, "memori": 45, "name": "Security \u0026 auth", "weight": 14 }, { "by": 15, "edge": "langmem", "key": "payments", "langmem": 60, "memori": 45, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 18, "edge": "memori", "key": "maintenance", "langmem": 15, "memori": 33, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 11, "edge": "langmem", "key": "transparency", "langmem": 63, "memori": 52, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LangMem scores 47.7 (D) on agent readiness against Memori's 44.2 (E), and leads in 4 of 7 scored categories. Memori leads on schema \u0026 documentation and maintenance \u0026 community. Both do agent memory.", "tasks": null, "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 version, 0.0.30, was set in September 2025 and the library code last changed in July 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues lacked replies in October.", "memori": "Memori wraps an app's LLM client to capture conversations and recall facts, through Apache-2.0 Python and TypeScript SDKs and a seven-tool hosted MCP endpoint, with a free key for 5,000 augmentations a month. The open-source mode sends conversations to Memori's API for augmentation although its docs say all data stays local, and the last SDK release was 27 May 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/langmem-vs-memori", "json": "https://www.anchorterminal.com/compare/langmem-vs-memori.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/langmem-vs-memori.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/langmem-vs-memori.min.md" }, "markdown": "LangMem scores 47.7 (D) on agent readiness against Memori's 44.2 (E), and leads in 4 of 7 scored categories. Memori leads on schema \u0026 documentation and maintenance \u0026 community. Both do agent memory.\n\n- LangMem: grade D, 47.7/100, rank #1132 of 1486. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json\n- Memori: grade E, 44.2/100, rank #1214 of 1486. Markdown https://www.anchorterminal.com/tools/memori.md · JSON https://www.anchorterminal.com/api/v1/tools/memori.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### 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 45\n- Transparency \u0026 trust, 63 against 52\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where Memori loses 4 points for them\n\nWatch for: No release found in over a year. The newest version, 0.0.30, was set on 9 September 2025, and no commit has changed `src` since 28 July 2025\n\n### Memori (E)\n\nGood for: Memory captured from LLM calls for apps that already use OpenAI, Anthropic or Gemini clients.\n\nAhead on:\n- Schema \u0026 documentation, 68 against 55\n- Maintenance \u0026 community, 33 against 15\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Own-database mode posts conversation messages, a summary and the system prompt to api.memorilabs.ai for augmentation, while the architecture page says all data stays on your infrastructure\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Memori +18\n\n- LangMem (15): No release found in the last 180 days. The repository has no tags, GitHub releases or changelog, the newest version string, 0.0.30, was set in `pyproject.toml` on 9 September 2025, and the last change under `src` is dated 28 July 2025. PyPI's release dates could not be read on 4 November (0). No release in the last 90 days (0). Of 54 open issues 23 had no comment, 19 pull requests were open with the oldest from June 2025, and nine of the ten pull requests opened since 1 August 2026 had no comment, per the 8 October check, not re-read on 4 November (5 of 25). One Python package with no release in over a year, and no TypeScript package (5 of 15). Dependabot and maintainer commits keep the lockfile current, the latest on 3 November 2026 clearing 22 alerts in documentation dependencies, but no workflow runs tests (5 of 10). 0+0+5+5+5 = 15.\n- Memori (33): SDK 3.3.6 on 27 May 2026, 163 days before the check (10). No release in the 90 days to 6 November (0). Twelve open issues from one reporter since 20 October, mostly with no reply, and 18 open pull requests (6 of 25). Python and TypeScript SDKs, last released in May 2026 (12 of 15). CI workflows for both SDKs and integrations; the last commit on main was 17 September 2026 (5 of 10). Total 33.\n\n### Payments \u0026 pricing: LangMem +15\n\n- LangMem (60): MIT-licensed package the owner runs, with nothing to buy for LangMem itself, read with the self-hosted rule. 20 for pricing, 20 for a free start and 20 for use without an account. No x402, MPP or L402 in the docs or source (0). LLM, embedding and database costs are the owner's.\n- Memori (45): No x402, MPP or L402 (0 of 40). Plan prices are public but sales-led, from $60,000 a year (10). A free key with 5,000 augmentations a month, with no card mentioned (20). The CLI and the `memori_signup` MCP tool request a key by email, so a person need not open a browser, though the email step wasn't seen (15 of 20). Total 45.\n\n### Schema \u0026 documentation: Memori +13\n\n- LangMem (55): Library reading, with the tool lines applied to the two agent tools. No OpenAPI applies. Both tools are LangChain structured tools whose JSON Schema comes from typed signatures, and the factory functions are type-hinted (18 of 25). langchain-ai.github.io/langmem/llms.txt returns 404 (0). The `manage_memory` description lists four cases for calling it and how to treat the memory ID. `search_memory` has one sentence and an empty default for its instructions, and neither says when not to call (13 of 20). `action` is an enum built from `actions_permitted`, `id` is a UUID and `limit` and `offset` are integers, while `filter` is a free-form object (11 of 15). Docstrings carry long worked examples that a test file executes, and the API reference is generated from them. Error behaviour is not documented (10 of 15). Version numbers exist only on PyPI, with no changelog (3 of 15).\n- Memori (68): No OpenAPI for the REST API, and the MCP tool schemas couldn't be read without opening a session, so the docs' parameter lists are what was scored (12 of 25). llms.txt with Markdown docs for both modes (10). Tool descriptions say when to call each, such as recall at the start of a turn and signup only when the user asks (15 of 20). Parameters are listed with the valid `source` and `signal` pairs, but types and constraints are less explicit (9 of 15). Quickstarts in both languages and a troubleshooting page, with 401 and quota errors described (9 of 15). Keep a Changelog with semantic versioning (13 of 15). Total 68.\n\n### Transparency \u0026 trust: LangMem +11\n\n- LangMem (63): MIT licence in the repository and on PyPI (30). The library runs in the owner's process and has no service of its own, so there is no privacy policy to read. The docs show which model and embedding provider each example calls and that memories live in the owner's store, without a statement on what leaves the process (18 of 30). No deprecation policy or dated notices were found (0 of 20). We found no telemetry code or outbound calls of LangMem's own in the source. Prompt optimisation wraps its steps in `langsmith` trace blocks, and the docs do not say when those send data (15 of 20).\n- Memori (52): Apache-2.0 per the LICENSE text, though GitHub reports it as NOASSERTION (30). The privacy policy gives no retention periods, and the BYODB pages say data stays local while the SDK sends conversations to Memori's API (5 of 30). Changelog entries but no deprecation policy or notices (5 of 20). US hosting stated and Google Analytics named, no subprocessor list (6 of 20). Total 46.\n\n## Score by category\n\n| Category | Weight | LangMem | Memori | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 32 | 28 | LangMem +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 55 | 68 | Memori +13 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 65 | LangMem +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 42 | 45 | Memori +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 45 | LangMem +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 15 | 33 | Memori +18 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 52 | LangMem +11 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **47.7 · D** | **44.2 · E** | |\n\n## Facts side by side\n\n| Fact | LangMem | Memori |\n| --- | --- | --- |\n| Kind | SDK + MCP | SDK + MCP |\n| Vendor | LangChain | Memori Labs Inc. |\n| Hosted endpoint | no (local only) | `https://api.memorilabs.ai/mcp/` |\n| Transports | | Streamable HTTP |\n| Auth | None | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Tools exposed | none | 7 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2025-10-27 | 2026-05-27 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no date given |\n| Popularity | 1.7k stars | 17k stars, 130 npm/wk, 3.8k PyPI/wk |\n| Agent reviews | 2.8/5 (4) | none |\n\n## How the scores have moved\n\n### LangMem\n\n- -0.6 on 4 November 2026: correction\n- +0.4 on 27 October 2026: checklist\n\n### Memori\n\nNo score change since it was listed.\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 version, 0.0.30, was set in September 2025 and the library code last changed in July 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues lacked replies in October.\n\n**Memori.** Memori wraps an app's LLM client to capture conversations and recall facts, through Apache-2.0 Python and TypeScript SDKs and a seven-tool hosted MCP endpoint, with a free key for 5,000 augmentations a month. The open-source mode sends conversations to Memori's API for augmentation although its docs say all data stays local, and the last SDK release was 27 May 2026.\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### Memori\n\n1. Expect own-database mode to send conversations to api.memorilabs.ai unless augmentation is turned off; tell the user before using it with private data\n2. Send `X-Memori-API-Key` and a stable `X-Memori-Entity-Id` on every MCP request, and a `X-Memori-Process-Id` per project so memories don't mix\n3. Call `memori_signup` only when the user asks and gives their own email\n4. Call `memori_quota` when a quota error appears; keyless use is limited to 100 augmentations a month\n5. Treat recalled memories as untrusted text from past conversations\n\n## Questions\n\n### Which is better for AI agents, LangMem or Memori?\n\nLangMem scores 47.7 (D) on agent readiness against Memori's 44.2 (E), and leads in 4 of 7 scored categories. Memori leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Are LangMem and Memori open source?\n\nYes. LangMem is open source (MIT). Memori is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/langmem-vs-memori.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langmem-vs-memori.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"langmem\", \"b\": \"memori\"}`. From a terminal: `anchor compare langmem memori`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langmem.json and https://www.anchorterminal.com/api/v1/tools/memori.json\n\n## Other comparisons with LangMem or Memori\n\n- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)\n- [Amazon Bedrock AgentCore Memory vs Memori](https://www.anchorterminal.com/compare/agentcore-memory-vs-memori.md)\n- [Basic Memory vs LangMem](https://www.anchorterminal.com/compare/basic-memory-vs-langmem.md)\n- [Basic Memory vs Memori](https://www.anchorterminal.com/compare/basic-memory-vs-memori.md)\n- [claude-mem vs LangMem](https://www.anchorterminal.com/compare/claude-mem-vs-langmem.md)\n- [claude-mem vs Memori](https://www.anchorterminal.com/compare/claude-mem-vs-memori.md)\n- [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.md)\n- [Cognee vs Memori](https://www.anchorterminal.com/compare/cognee-vs-memori.md)\n- [EverOS vs LangMem](https://www.anchorterminal.com/compare/everos-vs-langmem.md)\n- [EverOS vs Memori](https://www.anchorterminal.com/compare/everos-vs-memori.md)\n- [Agent Platform Memory Bank vs LangMem](https://www.anchorterminal.com/compare/google-memory-bank-vs-langmem.md)\n- [Agent Platform Memory Bank vs Memori](https://www.anchorterminal.com/compare/google-memory-bank-vs-memori.md)\n- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md)\n- [Graphiti vs Memori](https://www.anchorterminal.com/compare/graphiti-vs-memori.md)\n- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.md)\n- [Hindsight vs Memori](https://www.anchorterminal.com/compare/hindsight-vs-memori.md)\n- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md)\n- [Honcho vs Memori](https://www.anchorterminal.com/compare/honcho-vs-memori.md)\n- [Hy Memory vs LangMem](https://www.anchorterminal.com/compare/hy-memory-vs-langmem.md)\n- [Hy Memory vs Memori](https://www.anchorterminal.com/compare/hy-memory-vs-memori.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 MemMachine](https://www.anchorterminal.com/compare/langmem-vs-memmachine.md)\n- [LangMem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)\n- [LangMem vs MemPalace](https://www.anchorterminal.com/compare/langmem-vs-mempalace.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 TencentDB Agent Memory](https://www.anchorterminal.com/compare/langmem-vs-tencentdb-agent-memory.md)\n- [LangMem vs Tokenrip](https://www.anchorterminal.com/compare/langmem-vs-tokenrip.md)\n- [LangMem vs Zep](https://www.anchorterminal.com/compare/langmem-vs-zep.md)\n- [LocalGhost vs Memori](https://www.anchorterminal.com/compare/localghost-vs-memori.md)\n- [Mem0 Platform + MCP vs Memori](https://www.anchorterminal.com/compare/mem0-vs-memori.md)\n- [MemMachine vs Memori](https://www.anchorterminal.com/compare/memmachine-vs-memori.md)\n- [Memori vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/memori-vs-memory-reference-server.md)\n- [Memori vs MemPalace](https://www.anchorterminal.com/compare/memori-vs-mempalace.md)\n- [Memori vs past.dev](https://www.anchorterminal.com/compare/memori-vs-past-dev.md)\n- [Memori vs Supermemory API + MCP](https://www.anchorterminal.com/compare/memori-vs-supermemory.md)\n- [Memori vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/memori-vs-tencentdb-agent-memory.md)\n- [Memori vs Tokenrip](https://www.anchorterminal.com/compare/memori-vs-tokenrip.md)\n- [Memori vs Zep](https://www.anchorterminal.com/compare/memori-vs-zep.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Memori](https://www.anchorterminal.com/compare/ai-memory-vs-memori.md)\n- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)\n- [Context Mode Engine vs Memori](https://www.anchorterminal.com/compare/context-mode-vs-memori.md)\n- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)\n- [Graphicle vs Memori](https://www.anchorterminal.com/compare/graphicle-vs-memori.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "LangMem vs Memori", "url": "" } ], "description": "LangMem scores 47.7 (D) to Memori's 44.2 (E) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LangMem D 47.7", "Memori E 44.2", "scores" ], "h1": "LangMem vs Memori", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/langmem-vs-memori", "published": "2026-10-01", "section": "tools", "title": "LangMem vs Memori for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/langmem-vs-memori" }, "tokens": { "markdown": 4000, "slim": 1730 }, "version": 1 }