AgentMemory

AgentMemory is a self-contained memory layer that plugs into AI coding assistants like Claude Code, Cursor, Cline, Windsurf, Copilot CLI, Codex CLI, and Gemini CLI to give them durable, searchable context across sessions. It runs as a single Node.js process backed by JSON file storage on disk, with no Redis, Postgres, Qdrant, or Neo4j to operate. Twelve auto-capture hooks record every tool call, prompt, and session event, then an hourly consolidation pass compresses raw observations into semantic memories with duplicate merging and decay scoring.

The headline differentiator is its triple-stream retrieval: BM25 lexical search, vector embeddings, and a knowledge graph all queried in parallel, with claimed sub-20ms recall and 95.2% R@5 on LongMemEval-S. It is Apache 2.0 licensed, free to use via NPX, and rides on whatever LLM credentials you already have (Anthropic, Gemini, MiniMax, OpenRouter). For builders of coding agents who need persistent context without standing up infrastructure, the value proposition is straightforward.

The surface area is large for an early project: 53 MCP tools, 128 REST endpoints, peer-to-peer sync between instances, Obsidian markdown export, and OpenTelemetry observability with a real-time viewer on port 3113. At v0.9.27 it is still pre-1.0, so expect API churn and rough edges, but the integration breadth is unusual for a memory layer.