akitaonrails/ai-memory

This page introduces an external open-source repository. It is not an HDATF product.

What it does

ai-memory is a self-hosted memory server shared across coding agents, so a task started in Claude Code can continue in Codex. Memory is kept as a git-backed Markdown wiki, with team sharing and an audit log.

How it helps ATF

Closely related to Harness, which keeps state and memory while handing work to executors like Claude Code and Codex. Its handoff protocol, where each handoff is claimed exactly once, and per-person attribution are worth comparing with how Harness keeps task state.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

More in this category

• AgriciDaniel/claude-obsidian
  claude-obsidian is a local-first knowledge system for Claude Code that turns source material into linked, source-cited Obsidian pages in plain Markdown. It answers from evidence already in the vault and tracks each claim's support, contradictions and review state.
• TencentCloud/TencentDB-Agent-Memory
  TencentDB Agent Memory is a team memory hub for AI agents. It turns conversations, documents and code into Chat Memory, Skills, an LLM-Wiki and a Code-Graph that can be governed and shared across agents and frameworks.
• deeplethe/utopia
  Utopia is an enterprise knowledge system that puts time awareness and an ontology in its base layer, so knowledge evolves as material arrives. Conflict detection, reasoning and decision making run against that ontology, and it deploys offline.
• topoteretes/cognee
  Cognee is an open-source memory platform for AI agents. It ingests data in various formats, builds a self-hosted knowledge graph, and lets agents recall past context, decisions and learned rules across sessions.
• tamaratran/fast-jev-compaction
  A Claude Code plugin and npm library that uses Jev scoring to remove or truncate stale tool calls and results instead of summarizing conversation history. Retained content preserves its original wording.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.