Alaya is a neuroscience-inspired memory engine that gives AI agents local knowledge graphs with forgetting curves. It exposes 13 MCP tools including remember, recall, learn, and maintain. The engine stores conversations as episodes, consolidates them into semantic knowledge nodes, and applies Bjork dual-strength forgetting so stale memories decay while frequently retrieved ones strengthen. Categories emerge automatically from usage patterns. Everything lives in a single SQLite file with no external services required. You can run it via npx or build from Rust source. The recall tool uses hybrid retrieval with spreading activation across the knowledge graph, returning only relevant memories instead of dumping full context. Configure optional LLM credentials for auto-consolidation or let it prompt the agent to call learn manually.
claude mcp add --transport stdio io.github.securityronin-alaya-mcp uvx alaya-mcp