{ "data": { "a": { "slug": "honcho", "name": "Honcho", "vendor": "Plastic Labs", "vendorUrl": "https://honcho.dev", "kind": "http-api", "category": "agent-memory", "summary": "Memory API that models each participant (a peer) in a conversation.", "url": "https://www.anchorterminal.com/tools/honcho", "markdownUrl": "https://www.anchorterminal.com/tools/honcho.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/honcho.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/honcho.json", "repo": "https://github.com/plastic-labs/honcho", "license": "AGPL-3.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.honcho.dev/v3", "packages": [ { "registry": "pypi", "name": "honcho-ai" }, { "registry": "npm", "name": "@honcho-ai/sdk" } ], "auth": "mixed", "authNotes": "Bearer API key (`hch-...`) on api.honcho.dev. The create-key endpoint mints further keys scoped to a workspace, peer or session, with an optional expiry, and they're revocable from the API Keys page. The hosted MCP at mcp.honcho.dev takes a key as a Bearer header or an OAuth token, plus an optional workspace header. The AgentCash endpoints take x402 or MPP payment instead of a key, with wallet sign-in for the free ones.", "pricing": "usage", "pricingNotes": "Ingestion (storage plus background reasoning) is $2.00 per million, and queries through `chat` cost $0.001 (minimal), $0.01 (low), $0.05 (medium), $0.10 (high) or $0.50 (max) each. Context retrieval is listed as unlimited. Startups that have raised under $5 million get $1,000 of credit and 12 months of subsidised pricing (https://honcho.dev/). New organisations get $100 of free credit (https://github.com/plastic-labs/honcho). Over x402 the ingestion price is $2 per million tokens of message content, with a $0.001 minimum and a $5.00 maximum per call (https://agentcash.honcho.dev/openapi.json).", "priceSummary": "$0.001 / call", "where": "hosted", "x402": { "level": "yes", "evidence": "An AgentCash storefront at agentcash.honcho.dev lists 16 POST endpoints under /api/honcho/. Storing messages and chat are paid over x402 or Tempo MPP on Base, Solana or Tempo. Messages cost $2 per million tokens (minimum $0.001, maximum $5.00), chat $0.001 to $0.50 by reasoning level, and the other endpoints are free (https://agentcash.honcho.dev/openapi.json, checked 2026-09-30).", "endpoints": [ { "url": "https://agentcash.honcho.dev/api/honcho/messages", "priceUsd": 0.001, "network": "eip155:8453" }, { "url": "https://agentcash.honcho.dev/api/honcho/chat", "priceUsd": 0.001, "network": "eip155:8453" } ] }, "toolCount": null, "popularity": { "githubStars": 7400, "npmWeekly": 17913, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://honcho.dev/docs", "llmsTxt": "https://honcho.dev/docs/llms.txt", "openapi": "https://honcho.dev/docs/v3/openapi.json", "registryName": "io.github.plastic-labs/honcho", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "hosted", "usage-priced", "x402", "stablecoin", "mcp", "oauth", "llms-txt", "python", "typescript", "open-source", "self-hosted" ], "lastRelease": "2026-09-24", "graded": true, "anchor": { "graded": true, "score": 64.1, "grade": "B", "agentReady": false, "rank": 328, "ranked": true, "rankOf": 842, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 73, "payments": 80, "reliability": 50, "schema": 79, "security": 48, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.", "bestFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.", "strengths": [ "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints", "Keys can be minted per workspace, peer or session, with an expiry, through the API", "Context retrieval listed as unlimited, with reasoning billed only when you call chat", "Hosted MCP in the official registry, plus OpenAPI specs for v1 to v3", "AGPL-3.0 server, the same code that runs the hosted service" ], "weaknesses": [ "No published rate limits, 429 guidance or SLA", "Changelog entries carry no dates and the repo has no GitHub releases", "The MCP tool list is sent on connect, not documented", "No security.txt, audit log or prompt-injection guidance found", "AGPL-3.0 server licence" ], "agentNotes": [ "Get or create the workspace with POST /v3/workspaces before writing sessions and messages", "Batch up to 100 messages per request, each under 25,000 characters", "Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal", "Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace", "Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.1 } ], "editorialScores": { "ergonomics": 65, "maintenance": 73, "payments": 80, "reliability": 50, "schema": 79, "security": 48, "transparency": 56 }, "provenanceScore": 78 }, "connect": { "install": "pip install honcho-ai # or: npm install @honcho-ai/sdk", "http": "curl -X POST https://api.honcho.dev/v3/workspaces -H \"Authorization: Bearer $HONCHO_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"id\":\"workspace-123\",\"metadata\":{}}'", "claudeCode": "claude mcp add honcho --transport http \"https://mcp.honcho.dev\" --header \"Authorization: Bearer $HONCHO_API_KEY\"", "config": { "mcpServers": { "honcho": { "headers": { "Authorization": "Bearer ${HONCHO_API_KEY}" }, "type": "http", "url": "https://mcp.honcho.dev" } } }, "x402": "curl -s -i -X POST https://agentcash.honcho.dev/api/honcho/messages -H 'content-type: application/json'\n# 402 -\u003e pay over x402 (USDC on eip155:8453, or Solana) or Tempo MPP -\u003e retry. Request schemas at https://agentcash.honcho.dev/openapi.json" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/honcho" }, "area": "agent-runtime", "unitPrices": [ { "item": "Ingestion", "unit": "1m-tokens", "usd": 2, "note": "Storage plus background reasoning. $0.001 minimum per call over x402" }, { "item": "chat, minimal reasoning", "unit": "call", "usd": 0.001 }, { "item": "chat, low reasoning", "unit": "call", "usd": 0.01 }, { "item": "chat, medium reasoning", "unit": "call", "usd": 0.05 }, { "item": "chat, high reasoning", "unit": "call", "usd": 0.1 }, { "item": "chat, max reasoning", "unit": "call", "usd": 0.5 } ], "provenance": { "legalEntity": "Plastic Labs, Inc.", "domain": "honcho.dev", "domainRegistered": "2022-01-26", "endpointOnVendorDomain": true, "terms": "https://app.honcho.dev/tos", "privacy": "https://app.honcho.dev/privacy", "statusPage": "https://status.honcho.dev", "changelog": "https://honcho.dev/docs/changelog/introduction", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The terms name Plastic Labs, Inc., 169 Madison Avenue, New York, with arbitration in New York. They carry no last-updated date.", "honcho.dev/.well-known/security.txt returns 404.", "The x402 storefront runs on the AgentCash platform at agentcash.honcho.dev, a subdomain of honcho.dev." ], "score": 78 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/honcho.json", "live": { "slug": "honcho", "probe": { "target": "https://api.honcho.dev/v3", "method": "get", "lastAt": "2026-10-09T10:42:45.329801012Z", "lastOk": true, "lastStatus": 401, "lastMs": 121, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 137, "p95ms24h": 408, "samples24h": 260, "samples30d": 2098, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 109 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.honcho.dev", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:03.271971818Z" }, "versions": [ { "registry": "github", "name": "plastic-labs/honcho", "version": "v3.2.2", "released": "2026-10-01", "seenAt": "2026-10-08T16:15:55.175972009Z" }, { "registry": "mcp-registry", "name": "io.github.plastic-labs/honcho", "version": "3.0.0", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "@honcho-ai/sdk", "version": "2.5.1", "seenAt": "2026-10-08T16:15:51.039493964Z" }, { "registry": "pypi", "name": "honcho-ai", "version": "2.5.1", "released": "2026-09-24", "seenAt": "2026-10-08T16:15:50.893379176Z" } ], "githubStars": 7536, "npmWeekly": 26202, "pypiWeekly": 123921, "securityTxt": { "url": "https://honcho.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:33.617984789Z" }, "llmsTxt": { "url": "https://honcho.dev/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:31.058190618Z" }, "domain": { "domain": "honcho.dev", "registered": "2022-01-26", "source": "https://pubapi.registry.google/rdap/domain/honcho.dev", "checkedAt": "2026-10-04T13:09:16.292768042Z" }, "pages": [ { "url": "https://honcho.dev/docs/changelog/introduction", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:20:52.781167741Z", "changedAt": "2026-10-08T18:20:52.781167741Z", "fingerprint": "03e80b9a510c" }, { "url": "https://app.honcho.dev/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:15:17.944588408Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9da63f6bcbbd" }, { "url": "https://app.honcho.dev/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:15:20.128219825Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f178ff16d893" } ], "updatedAt": "2026-10-09T10:42:45.329801012Z" } }, "answer": "Honcho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories.", "b": { "slug": "langmem", "name": "LangMem", "vendor": "LangChain", "vendorUrl": "https://www.langchain.com", "kind": "sdk", "category": "agent-memory", "summary": "LangMem is LangChain's open-source Python library for long-term agent memory. It extracts facts from conversations with an LLM, stores and searches them in a LangGraph store the owner runs, and includes two memory tools, message summarisation and prompt optimisation.", "url": "https://www.anchorterminal.com/tools/langmem", "markdownUrl": "https://www.anchorterminal.com/tools/langmem.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langmem.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langmem.json", "repo": "https://github.com/langchain-ai/langmem", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "langmem" } ], "auth": "none", "authNotes": "The library has no account or key of its own. It runs in the owner's process and needs a key for the chosen LLM provider (the README uses `ANTHROPIC_API_KEY`) and, for semantic search, an embedding provider. Access to memories is whatever the owner's LangGraph store and namespace settings allow.", "pricing": "free", "pricingNotes": "Free under the MIT licence, with nothing to buy and no signup. The owner pays for the LLM calls that extract memories, the embedding calls behind search, and the database behind the store (https://github.com/langchain-ai/langmem).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1698, "npmWeekly": null, "pypiWeekly": 214379, "asOf": "2026-10-08" }, "docsUrl": "https://langchain-ai.github.io/langmem/", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "sdk", "open-source", "self-hosted", "local", "python", "free", "langgraph", "pre-1.0" ], "lastRelease": "2025-10-27", "graded": true, "anchor": { "graded": true, "score": 47.9, "grade": "D", "agentReady": false, "rank": 734, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 45, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.", "bestFor": "Teams already on LangGraph that want memory tools and background extraction over a store they run.", "strengths": [ "MIT licence, installed with `pip install -U langmem`, with no account, key or fee of its own", "Two agent tools, `manage_memory` and `search_memory`, with typed inputs, an action enum and `limit`, `offset` and `filter` on search", "`actions_permitted` limits the manage tool to any subset of create, update and delete, and `create_memory_store_manager` leaves deletes off by default", "Namespace templates such as `(\"memories\", \"{langgraph_user_id}\")` keep each user's memories apart at run time", "Works with any LangGraph `BaseStore`, including `InMemoryStore` for tests and `AsyncPostgresStore` for durable storage" ], "weaknesses": [ "The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that", "No changelog, GitHub releases or tags, and versions are still 0.0.x", "The repository's two workflows deploy docs and publish to PyPI. Neither runs the tests", "54 open issues, 23 with no comment, and 19 open pull requests, the oldest from June 2025", "No guidance on memory poisoning or prompt injection found, and two open issues asking for it (May 2026) have no reply" ], "agentNotes": [ "Pass a store with an embedding index (`index={\"dims\": 1536, \"embed\": \"openai:text-embedding-3-small\"}`), or `search_memory` cannot rank by meaning", "Use a database-backed store such as `AsyncPostgresStore` for anything that must survive a restart. `InMemoryStore` loses everything", "Put a per-user placeholder in the namespace and set it in `config[\"configurable\"]` on every call, or users share one memory space", "Send the memory `id` with `update` and `delete`, and never with `create`. A retried `create` writes a duplicate under a new UUID", "Run on Python 3.11 or later. `src/langmem/knowledge/extraction.py` uses `typing.NotRequired`, which Python 3.10 lacks" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.9 } ], "editorialScores": { "ergonomics": 66, "maintenance": 15, "payments": 60, "reliability": 32, "schema": 55, "security": 45, "transparency": 63 }, "provenanceScore": 55 }, "connect": { "install": "pip install -U langmem" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/langmem" }, "sameCompany": [ "langgraph", "langsmith" ], "area": "agent-runtime", "provenance": { "legalEntity": "LangChain (the licence file gives no legal form)", "domain": "langchain.com", "domainRegistered": "2019-12-03", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "A library the owner runs, with no hosted endpoint. The code is on github.com under the langchain-ai organisation and the docs are on langchain-ai.github.io/langmem.", "The LICENSE file reads Copyright (c) 2025 LangChain. PyPI metadata names no author.", "No terms or privacy document governs the library, so both fields are left out. The MIT licence is the only agreement.", "No changelog file, GitHub releases or tags exist in the repository. PyPI's release history is the only record of versions.", "www.langchain.com/.well-known/security.txt returns 404. The organisation's SECURITY.md points to two Intigriti disclosure programmes.", "RDAP for langchain.com gives a registration date of 2019-12-03." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/langmem.json" }, "facts": [ { "a": "HTTP API", "b": "SDK + MCP", "name": "Kind" }, { "a": "Plastic Labs", "b": "LangChain", "name": "Vendor" }, { "a": "https://api.honcho.dev/v3", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "yes, from $0.001/call", "b": "no", "name": "x402" }, { "a": "AGPL-3.0", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "io.github.plastic-labs/honcho", "b": "not listed", "name": "MCP registry" }, { "a": "2026-09-24", "b": "2025-10-27", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "2025-04-24", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "7.4k stars, 18k npm/wk", "b": "1.7k stars, 214k PyPI/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Honcho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Honcho or LangMem?" }, { "answer": "Honcho has a hosted endpoint at https://api.honcho.dev/v3. No hosted endpoint is listed for LangMem.", "question": "Can an agent call Honcho and LangMem without installing anything?" }, { "answer": "Yes. Honcho is open source (AGPL-3.0). LangMem is open source (MIT).", "question": "Are Honcho and LangMem open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 50 against 32", "Schema \u0026 documentation, 79 against 55", "Payments \u0026 pricing, 80 against 60", "Maintenance \u0026 community, 73 against 15", "Transparency \u0026 trust, 67 against 59" ], "also": [ "An agent can pay per call over x402, with no account", "A hosted endpoint, with nothing to install" ], "goodFor": "Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.", "slug": "honcho", "watchFor": "No published rate limits, 429 guidance or SLA" }, { "aheadOn": null, "also": [ "No key needed to call it" ], "goodFor": "Teams already on LangGraph that want memory tools and background extraction over a store they run.", "slug": "langmem", "watchFor": "The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that" } ], "job": { "capability": "memory.store", "name": "Memory store" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.json", "title": "Amazon Bedrock AgentCore Memory vs Honcho", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho" }, { "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/cognee-vs-honcho.json", "title": "Cognee vs Honcho", "url": "https://www.anchorterminal.com/compare/cognee-vs-honcho" }, { "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/graphiti-vs-honcho.json", "title": "Graphiti vs Honcho", "url": "https://www.anchorterminal.com/compare/graphiti-vs-honcho" }, { "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/hindsight-vs-honcho.json", "title": "Hindsight vs Honcho", "url": "https://www.anchorterminal.com/compare/hindsight-vs-honcho" }, { "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/honcho-vs-localghost.json", "title": "Honcho vs LocalGhost", "url": "https://www.anchorterminal.com/compare/honcho-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-mem0.json", "title": "Honcho vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/honcho-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-supermemory.json", "title": "Honcho vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/honcho-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-zep.json", "title": "Honcho vs Zep", "url": "https://www.anchorterminal.com/compare/honcho-vs-zep" }, { "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-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" } ], "scores": [ { "by": 18, "edge": "honcho", "honcho": 50, "key": "reliability", "langmem": 32, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 24, "edge": "honcho", "honcho": 79, "key": "schema", "langmem": 55, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 1, "edge": "langmem", "honcho": 65, "key": "ergonomics", "langmem": 66, "name": "Agent ergonomics", "weight": 13 }, { "by": 3, "edge": "honcho", "honcho": 48, "key": "security", "langmem": 45, "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "edge": "honcho", "honcho": 80, "key": "payments", "langmem": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 58, "edge": "honcho", "honcho": 73, "key": "maintenance", "langmem": 15, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 8, "edge": "honcho", "honcho": 67, "key": "transparency", "langmem": 59, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Honcho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories. Both do memory store. Honcho accepts x402. LangMem doesn't.", "verdicts": { "honcho": "Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/honcho-vs-langmem", "json": "https://www.anchorterminal.com/compare/honcho-vs-langmem.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/honcho-vs-langmem.md", "slim": "https://www.anchorterminal.com/compare/honcho-vs-langmem.min.md" }, "markdown": "Honcho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories. Both do memory store. Honcho accepts x402. LangMem doesn't.\n\n- Honcho: grade B, 64.1/100, rank #328 of 842. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json\n- LangMem: grade D, 47.9/100, rank #734 of 842. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json\n\n## Which one, for what\n\n### Honcho (B)\n\nGood for: Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.\n\nAhead on:\n- Reliability, 50 against 32\n- Schema \u0026 documentation, 79 against 55\n- Payments \u0026 pricing, 80 against 60\n- Maintenance \u0026 community, 73 against 15\n- Transparency \u0026 trust, 67 against 59\n\nAlso in its favour:\n- An agent can pay per call over x402, with no account\n- A hosted endpoint, with nothing to install\n\nWatch for: No published rate limits, 429 guidance or SLA\n\n### LangMem (D)\n\nGood for: Teams already on LangGraph that want memory tools and background extraction over a store they run.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that\n\n\n## Score by category\n\n| Category | Weight | Honcho | LangMem | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 32 | Honcho +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 55 | Honcho +24 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 66 | LangMem +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 45 | Honcho +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 80 | 60 | Honcho +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 15 | Honcho +58 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 59 | Honcho +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.1 · B** | **47.9 · D** | |\n\n## Facts side by side\n\n| Fact | Honcho | LangMem |\n| --- | --- | --- |\n| Kind | HTTP API | SDK + MCP |\n| Vendor | Plastic Labs | LangChain |\n| Hosted endpoint | `https://api.honcho.dev/v3` | no (local only) |\n| Transports | HTTP, Streamable HTTP | |\n| Auth | OAuth or key | None |\n| Pricing | Pay per use | Free |\n| x402 | yes, from $0.001/call | no |\n| Licence | AGPL-3.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | `io.github.plastic-labs/honcho` | not listed |\n| Last release | 2026-09-24 | 2025-10-27 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | 2025-04-24 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 7.4k stars, 18k npm/wk | 1.7k stars, 214k PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Honcho.** Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA.\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## Before you call either\n\n### Honcho\n\n1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages\n2. Batch up to 100 messages per request, each under 25,000 characters\n3. Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal\n4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace\n5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor\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## Questions\n\n### Which is better for AI agents, Honcho or LangMem?\n\nHoncho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories.\n\n### Can an agent call Honcho and LangMem without installing anything?\n\nHoncho has a hosted endpoint at https://api.honcho.dev/v3. No hosted endpoint is listed for LangMem.\n\n### Are Honcho and LangMem open source?\n\nYes. Honcho is open source (AGPL-3.0). LangMem is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/honcho-vs-langmem.json, and with the fewest tokens: https://www.anchorterminal.com/compare/honcho-vs-langmem.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"honcho\", \"b\": \"langmem\"}`. From a terminal: `anchor compare honcho langmem`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/honcho.json and https://www.anchorterminal.com/api/v1/tools/langmem.json\n\n## Other comparisons with Honcho or LangMem\n\n- [Amazon Bedrock AgentCore Memory vs Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md)\n- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)\n- [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md)\n- [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.md)\n- [Honcho vs LocalGhost](https://www.anchorterminal.com/compare/honcho-vs-localghost.md)\n- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.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 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", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Honcho vs LangMem", "url": "" } ], "description": "Honcho scores 64.1 (B) on agent readiness against LangMem's 47.9 (D), and leads in 6 of 7 scored categories. Both do memory store. Honcho accepts x402. LangMem doesn't. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Honcho B 64.1", "LangMem D 47.9", "scores" ], "h1": "Honcho vs LangMem", "image": "https://www.anchorterminal.com/assets/og/compare-honcho-vs-langmem.png", "path": "/compare/honcho-vs-langmem", "published": "2026-10-01", "section": "tools", "title": "Honcho vs LangMem for AI agents, B 64.1 vs D 47.9 | Anchor Terminal", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/honcho-vs-langmem" }, "tokens": { "markdown": 2050, "slim": 680 }, "version": 1 }