agent-recall

Agent Recall is a tool that helps AI coding assistants remember information across different sessions. Normally, AI assistants can forget what they learned or discussed in previous interactions. Agent Recall solves this problem by giving them a persistent memory.

Benefits

Agent Recall allows AI assistants to keep track of important details, preventing them from having to relearn things. It offers several useful tools:rememberto store information,recallto retrieve it efficiently,searchto find specific memories,forgetto remove old data, andsave_stateandload_stateto save and restore an agent's working progress. The system is designed for speed and ease of use, working locally without needing external services or complex setups. It automatically categorizes information and manages memory to fit within the AI's limits.

Use Cases

This tool can be used by AI coding assistants to remember bugs, decisions, settings, procedures, feedback, and general context. It's helpful for maintaining continuity in coding projects. Agent Recall can also load 'Knowledge Packs' which are collections of pre-made information on specific topics, like how to use certain software tools or programming libraries. This means an AI can quickly access expert knowledge without needing to be taught from scratch. It can also store data like trust scores from other tools, keeping it organized locally.

Pricing

Information about pricing is not available in the provided text.

Vibes

Information about public reception or reviews is not available in the provided text.

Additional Information

Agent Recall is licensed under MIT. It is designed for easy setup, with a zero-install option available throughnpx.