RecallLoom is an open-source, local-first memory layer for long-running AI-assisted software projects. It stores verified project state, decisions, worktree details, and next steps in the repository so agents such as Codex and Claude Code can resume work across sessions and tools.
In the Memory & skills space, RecallLoom takes a focused approach. It focuses on keeping AI coding agents aligned with verified project state, decisions, and next steps across sessions. It is built as an open-source project for software developers using AI coding agents. The project is open source (Apache-2.0). It runs on the web and the command line, and it can be self-hosted.
It is developed by Frappucc1no, and it first shipped in 2026. Development happens publicly on GitHub with 153 stars and 16 commits in the last 90 days. Among its 8 catalogued features are project state storage, decision tracking, and next-step tracking. The interface is available in English and Chinese.
Summary written by a language model from the project’s public pages.
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