agent-recall
Persistent memory for AI coding tools. One command.
What it does
agent-recall gives AI coding tools persistent memory via MCP. Run npx agent-recall and your assistant gets tools to remember, recall, search, and forget. No vector DB, no cloud — just SQLite + FTS5, locally. Token-budgeted recall fits relevant memories to your context window. Knowledge packs install domain expertise in one command. Session handoff preserves state between conversations. Built by an AI agent for its own workflow, then packaged for everyone.
Does the same job
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AgentmemoryMay 2026 · agent-memory.dev · ▲322Persistent memory for Claude Code, Codex & coding agents
- RLRecall – Local project memory for Claude CodeJun 2026 · github.com · ▲138
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
