Claude Code, like many AI agents, often loses context and forgets past interactions when a session ends, leading to repetitive tasks and forgotten decisions. Recall acts as a silent, intelligent background companion that automatically extracts structured summaries from your AI sessions, indexes them in a searchable database, and makes them available for future interactions. This tool ensures that valuable context, decisions, and learnings are perpetually accessible, empowering Claude Code to maintain continuity, avoid repetition, and leverage historical knowledge with zero friction through advanced full-text, semantic, and hybrid search capabilities.
Key Features
01Seamless MCP integration for AI agent memory access
02Full-text, semantic, and hybrid search across all memories
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04Tiered session-start context including identity and important records
05Decision and learning tracking with lifecycle management
06Automatic session extraction and summarization via Claude Haiku
Use Cases
01Enabling AI agents to automatically recall past decisions, learnings, and discussions
02Maintaining long-term context and preventing information loss for Claude Code development sessions
03Searching and retrieving historical code discussions, architectural choices, or solved problems with Claude Code