roam-code
Local codebase intelligence CLI and MCP for coding agents.
codannaは、bartolliが公開しているオープンソースのローカルLLMプロジェクトです(GitHub: bartolli/codanna)。GitHubスターは744、フォークは70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9月24日です。
Local code-intelligence MCP server and CLI for coding agents.
Get the binary per the docs.
Build the local code index.
Expose it as an MCP server.
Agents search call graphs and symbols.
Builds a local index of your repo.
Agents trace callers and callees.
Plugs into any MCP-capable agent.
Query the index from the shell.
No code leaves your machine.
Free for commercial use.
Download the source and enter the folder.
git clone https://github.com/bartolli/codanna.git
cd codannaCompile the Rust binary.
cargo build --releasePoint it at your codebase.
./target/release/codanna index /path/to/repoA local code-intelligence MCP server and CLI for AI coding agents, at bartolli/codanna.
As an MCP server exposing code search and call graphs.
No. Indexing is local-first.
Yes. Apache-2.0 licensed.
At docs.codanna.sh, linked from the repo.
Local codebase intelligence CLI and MCP for coding agents.
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Code-context-engine, in Python — built for save 94% on ai coding tokens. index your cod...
Secure MCP runtime letting AI agents operate your local machines.
Open source, Git-native memory for AI coding agents - deterministic local recall
A local-first 3-in-1 AI memory layer and MCP server.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — codanna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 simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
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カタログの中でcodannaとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
AI gets the context.
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ChatGPT for your home, running on a Raspberry Pi.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Agent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release.