OKF Agent Memory brings Git-native persistent storage to AI coding agents
A new open-source project called OKF Agent Memory gives AI coding agents a standardized way to retain project knowledge across sessions, storing it as plain Markdown files with YAML frontmatter directly inside a repository's knowledge/ folder. Built on the Open Knowledge Format v0.2, it combines a spec, behavioral conventions, an agent skill layer, and a Go-based CLI/library for parsing, validation and search.
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AI coding assistants typically lose architectural decisions and domain knowledge once a conversation's context window closes, forcing teams to either re-explain context repeatedly or rely on opaque vector databases. By keeping memory as version-controlled plain text searchable in microseconds via BM25, this approach avoids vendor lock-in and recurring embedding API costs while letting teams audit agent knowledge with standard git tools.
- OKF Agent Memory stores AI agent knowledge as Markdown/YAML files inside a project's git repository.
- It claims sub-300 microsecond search and about 4ms validation using local BM25 indexing instead of vector databases.
- The system is built on Google's Open Knowledge Format v0.2 and includes a Go library, CLI, and MCP tooling layer.
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See Pro Git (2nd Edition) by Scott Chacon on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: github.com, 2026-09-05
Published there as: “OKF Agent Memory – Git-native persistent memory for AI coding agents”
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