開発ツール
CodeGraphContext
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
★ 4.2k スターMIT
ガイドを見る →probeは、probelabsが公開しているオープンソースの開発ツールプロジェクトです（GitHub: probelabs/probe）。GitHubスターは722、フォークは62で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月1日です。
Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
Get the Rust-built binary for your platform.
Let it parse your repo with tree-sitter.
Ask structure-aware questions about the code.
AI coding assistants use it as their search backend.
Understands code structure, not just text.
Fast enough for huge codebases.
AST-aware indexing across languages.
Results shaped for assistant consumption.
Built for codebases grep cannot handle.
A fast native binary, not a script.
Download the source and move into the project folder.
git clone https://github.com/probelabs/probe.git
cd probeEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandApache 2.0 licensed — commercial use allowed with attribution.
tree-sitter covers many languages — check the README for the list.
ripgrep matches text; probe understands code structure semantically.
It is designed as a search backend for AI coding assistants.
Yes — it parses your repo first; large repos take some initial time.
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openag…
Symbol-level code retrieval MCP server (tree-sitter AST) built to slash agent token costs on exploration
Lightweight AST-based semantic code search CLI (ccc) that makes coding agents faster and cheaper
zvec-grep (zg): one local CLI unifying ripgrep-style exact search, BM25, and semantic vector search
LibreAIカタログに掲載された開発ツールプロジェクトの中で最もスターの多いもの — probeが合わなかった場合に検討したい、現実的な候補リストです。
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
カタログの中でprobeとスター数が近い開発ツールプロジェクト — 前後の棚もそのまま見て回れます。
A portable home for your AI agent — memory, keys and automations on Cloudflare.
50 open-source skills that teach AI coding agents to make motion graphics.
Stop burning tokens and re-explaining your project every session.
Persistent memory for coding agents — frozen, but its core lives on in Caveman.
See what your coding agents did — and what each task cost in tokens.
Backend.AI is a streamlined, container-based computing cluster platform.