OSS
ai-memory Climbs +207 Stars in a Day Solving Cross-Vendor Handoff: Quit Claude Code Mid-Task, Resume in Codex Without Re-Explaining the Architecture
akitaonrails/ai-memory, written in Rust, hit 2,485 stars with +207 added today. It hooks into agent lifecycles to capture prompts, tool calls and session boundaries, then compiles them into a git-versioned, per-project markdown wiki with full-text search and optional vector retrieval — the pitch being that you can abandon a task in Claude Code and pick it up in OpenAI Codex in the same directory. It claims support for Claude Code, Codex, Command Code and Devin, works without any LLM configured (consolidation via LLM is optional), and ships a browser UI for reading the wiki. Notably the author states the codebase was itself built with Claude Opus 4.7.
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