Conversations with AI agents are reset once the context window is closed. This presents a challenge where critical design decisions and domain knowledge are lost.
OKF Agent Memory is a memory layer designed to solve this problem. Information is stored in the knowledge/ directory within a repository as plain text (Markdown format) with YAML front matter.
Unlike black-box systems such as vector databases, this mechanism allows for version control via Git. A key feature is that agent memories can be audited and reviewed using standard git diff and git log commands. Furthermore, since it does not require an external database, no API costs are incurred for memory retrieval.
Implemented in Go, the technology stack has no external dependencies. By employing in-memory BM25 search, it achieves high-speed retrieval in under 300 microseconds. Additionally, it includes a built-in Model Context Protocol (MCP) server, enabling integration with existing tools.
Source: OKF Agent Memory – Git-native persistent memory for AI coding agents (Hacker News Frontpage, 2026-09-06)