Stop resetting satisfying AI chats — edit the memory instead. Local session manager for Claude Code, Codex & OpenCode & Gemini CLI & Kiro CLI & pi &Cursor . Tauri + Rust, 100% offline - 记忆操控，可视化随意改写AI记忆

Turn your architecture into a living, queryable knowledge graph - and render it as beautiful auto-laid-out Excalidraw diagrams. An MCP server for Cursor, Claude Code & Windsurf. Offline, no API keys.

A 100% private AI voice assistant that lives on your computer (works offline). Talk naturally as if Jarvis is a third person in the room, and get conversational responses. It remembers everything, knows location and time, can check the web, control Chrome, track nutrition, and more with support for unlimited MCPs / tools without context rot.

One CLI to orchestrate them all. Manage a team of AI agents executing tasks in parallel from your terminal using a command line interface to manage them all. Manage a team of artificial intelligence agents who perform tasks in parallel from your terminal or offline on a local or server

Agent skill for AI trip planning (Claude Code · Codex · Gemini CLI · Cursor · Copilot · any SKILL.md agent) — verified, bookable itineraries: hour-by-hour days, real flight prices, offline KML maps, eight themed page designs · 旅行规划 / 行程 / 机票比价

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

Software architecture tooling for the AI age

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Memory that learns what works.

Open-source Agent Skill that scores AI-sounding writing 0–100, edits it with your assistant.

AI semantic search for Zotero, with a built-in MCP server for AI agents (Claude Code, Codex). Find papers by meaning. 100% local and private.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server