rohitg00/agentmemory

Health v2 · maintenance only

Adoption not part of the score

27526 stars · 2361 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

agentmemory is a local-first persistent memory runtime for AI coding agents like Claude Code, Cursor, Copilot CLI, and any MCP client. It auto-captures session events via hooks, stores them as observations, memories, lessons, and knowledge graphs, and recalls them across sessions using hybrid BM25/vector/graph retrieval with zero external databases.

Use cases

• give my coding agent persistent memory across sessions
• stop re-explaining project context to claude code every session
• store and recall lessons and preferences for AI coding agents
• add memory to cursor or copilot cli via mcp
• compress agent session history to reduce token usage
• local memory store for AI agents without a vector database
• track what my AI agent did in previous sessions

When to choose

• you use MCP-compatible coding agents and want durable cross-session memory
• you want a fully local, zero-external-database memory runtime
• you need token savings versus replaying full context each session
• you want auto-capture hooks with no glue code

When to avoid

• you need a shared multi-user cloud memory service
• you need a general-purpose vector database for your own application embeddings
• you only need simple prompt/context files without retrieval tooling

Facets

service · maturity active

rag mcp search-engine agent-framework developer-tools large-language-models developer-tools self-hosted cli cross-platform self-hosted persistent-memory mcp-server coding-agents local-first memory-runtime claude-code hybrid-retrieval knowledge-graph ai-agents nodejs

Member repositories

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markdown · JSON · MCP: product_card(name="rohitg00/agentmemory")