AIエージェント
multica
Make humans and AI agents work as one team — open-source and self-hostable.
★ 51.9k スターUnknown
ガイドを見る →khojは、khoj-ai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: khoj-ai/khoj）。GitHubスターは37,598、フォークは2,499で、AGPL-3.0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8月2日です。
Your self-hostable AI second brain for answers, agents, and automations.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Answers from your docs and notes.
Run it on your own machine.
Online or local models, your choice.
Build agents on top of your knowledge.
Schedule recurring agent work.
Web-grounded research workflows.
Download the source and move into the project folder.
git clone https://github.com/khoj-ai/khoj.git
cd khojCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyIt is an open-source project at khoj-ai/khoj with 2499 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
It is AGPL-3.0 licensed: free to use, but if you run a modified version as a service you must share the source.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
Khoj is a self-hosted personal AI with your documents, agents, and automations - closer to a private assistant OS than a single chatbot. Choose it when ownership and extensibility matter.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
Make humans and AI agents work as one team — open-source and self-hostable.
A GEP-powered self-evolving engine for AI agents — auditable evolution with Genes, Capsules and Events.
Agno's self-learning data agent: grounded text-to-SQL answers over your database that improve with use.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
EvoAgentX — a framework for building self-evolving ecosystems of AI agents.
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
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 — khoj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khoj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。
Microsoft's Playwright-powered MCP server for browser automation.
Secure, fast microVMs that make serverless possible.
Program language models with code and compilers — not fragile prompts.
High-performance serving for the LLMs that power your agents.
ByteDance's open-source multimodal AI agent stack: GUI agents that see and operate real desktops
Your personal AI assistant — self-host it, chat anywhere, extend everything.