AIエージェント
Langchain
The agent engineering platform
★ 147.4k スターMIT
ガイドを見る →Llama Indexは、run-llamaが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: run-llama/llama_index）。GitHubスターは52,396、フォークは8,272で、MIT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。
LlamaIndex is the document processing platform for AI
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Python or TypeScript packages install with one command; most include quickstart templates.
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.
Agents act on the world: APIs, databases, browsers, and shell commands.
Crews and graphs of specialized agents collaborating on complex tasks.
Short and long-term memory so agents improve across sessions.
Traces of every decision and tool call — essential for debugging.
Low-latency stacks for conversational voice agents.
Swap underlying LLMs without rewriting your agent logic.
Download the source and move into the project folder.
git clone https://github.com/run-llama/llama_index.git
cd llama_indexIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtFrameworks build your own; some repos here ship ready-made agents you can run directly.
Tool-calling quality matters more than raw size — strong mid-size models work well.
It is an open-source project at run-llama/llama_index with 8,272 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.
Self-hosted frameworks are free; you pay only for model inference (local or API).
A quickstart template in the framework's docs — most get a first agent running in minutes.
The agent engineering platform
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
A programming framework for agentic AI
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
Open-source AI-driven development platform: autonomous software agents in a sandbox
A Python simulation platform for robotics and embodied AI — fast physics, rendering and learning
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — Llama Index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。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でLlama Indexとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Chrome DevTools for coding agents: an MCP server that lets agents debug and inspect real Chrome
Make humans and AI agents work as one team — open-source and self-hostable.
Open-Source Frontier Voice AI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…