Agentmemory

Agentmemory is an open-source solution designed to extend the memory capabilities of advanced AI models such as Codex, Hermes, OpenClaw, and Claude. By providing persistent and scalable memory, it enables these models to retain context over long sessions, significantly enhancing their utility for complex coding, debugging, and project management tasks. Its standout feature is the ability to store and retrieve large amounts of information—up to 22,000 tokens—while maintaining high searchability and reducing token consumption by up to 95%. This results in fewer token usage per session, enabling more tool calls and longer, more productive interactions. Popular on GitHub with over 5,000 stars, Agentmemory is ideal for developers and AI researchers seeking to push the boundaries of conversational memory and context retention in AI applications.