AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Persistent memory for AI assistants via MCP — semantic recall, knowledge graph, and a cockpit UI
翻译准备中
开发工具Python · TypeScriptGitHub @jfr992自行安装运营者未确认
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正在加载完整 README。 以下为已保存的摘录。
Give coding agents memory with associative recall. Rekall works with Claude Code and Codex while keeping each harness’s native memory separate.
Rekall MCP is a persistent memory system with a knowledge graph layer. It stores memories as YAML + vector embeddings, connects them with typed relationships, and retrieves context using graph-enhanced semantic search.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Give coding agents memory with associative recall. Rekall works with Claude Code and Codex while keeping each harness’s native memory separate.
Rekall MCP is a persistent memory system with a knowledge graph layer. It stores memories as YAML + vector embeddings, connects them with typed relationships, and retrieves context using graph-enhanced semantic search.查看完整 README ↗