{"adoption": {"forks": 186, "observed_at": "2026-08-28T04:05:13.002620+00:00", "stars": 1626}, "canonical_url": "https://ross.abutalabs.com/products/langmem", "card": {"archived": false, "artifact_type": "library", "description": null, "domain": ["artificial-intelligence", "large-language-models", "developer-tools"], "enriched": true, "function": ["agent-framework", "rag", "llm-inference", "prompt-engineering", "machine-learning"], "health_score": 78, "homepage": "https://langchain-ai.github.io/langmem/", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["langchain-ai/langmem"], "name": "langchain-ai/langmem", "platform": ["python"], "pushed_at": "2026-08-11T00:18:37+00:00", "repo": "langchain-ai/langmem", "stars": 1626, "tags": ["long-term-memory", "langgraph", "memory-management", "agent-personalization", "conversation-memory", "ai-agents", "retrieval-augmented-generation"], "topics": [], "urls": [], "use_cases": ["add long-term memory to a langgraph agent", "extract important facts from chat conversations automatically", "let an agent record and search its own memories during conversations", "personalize agent responses based on past interactions", "run a background memory manager that consolidates agent knowledge", "refine agent prompts based on accumulated experience", "persist agent memory across sessions with a postgres-backed store"], "what_it_is": "LangMem is a Python library that helps AI agents learn and adapt from their interactions over time by extracting information from conversations, refining prompts, and maintaining long-term memory. It provides storage-agnostic memory primitives plus native integration with LangGraph's Long-term Memory Store.", "when_to_avoid": ["you need a full standalone agent framework rather than a memory layer", "your project does not use Python or the LangChain/LangGraph ecosystem", "you only need simple short-term conversation context without persistence"], "when_to_choose": ["you are building agents with LangGraph and want persistent, searchable memory", "you need agents that personalize behavior across sessions", "you want both hot-path memory tools and background memory consolidation", "you want a memory API that works with any storage backend"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/langmem", "repo": "langchain-ai/langmem", "role": "main", "score": 64}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:13.002620+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:48:27.337367+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d1bb124adfbfcce05e10ac10a3b8fd49ed0f56b840f3442efe043999e075272f", "fetched_at": "2026-08-28T04:05:13.002620+00:00", "kind": "readme", "missing": false, "url": "https://github.com/langchain-ai/langmem"}, {"content_hash": "12f7bca2e259290973221ef281d5f0116e83824655dce16ee4152ed40d1ebafa", "fetched_at": "2026-08-29T11:21:19.586614+00:00", "kind": "homepage", "missing": false, "url": "https://langchain-ai.github.io/langmem/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 97, "longevity": 42, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 589, "days_push": 23, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 64, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}