AIエージェント
Langchain
The agent engineering platform
★ 147.4k スターMIT
ガイドを見る →griptapeは、griptape-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: griptape-ai/griptape）。GitHubスターは2,579、フォークは262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。
Modular Python framework for AI agents and workflows with tools and memory.
pip install it into your Python project.
Compose agents from modular pieces.
Wire capabilities into the agent.
Execute multi-step agent pipelines.
Composable agent building blocks.
Structured reasoning built in.
Extend agents with custom tools.
Conversation and task memory.
OpenAI, Anthropic, Hugging Face.
Multi-step pipelines, not just chat.
Download the source and move into the project folder.
git clone https://github.com/griptape-ai/griptape.git
cd griptapeEvery 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 commandIt is an open-source project at griptape-ai/griptape with 262 forks.
Yes. Apache-2.0 licensed.
More modular and opinionated about agent structure.
It is a veteran framework used in real products.
OpenAI, Anthropic, Hugging Face, and others.
The agent engineering platform
Build resilient agents
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
A lightweight, powerful framework for multi-agent workflows
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
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 — griptape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griptape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。
Make your agents learn from experience with a dedicated context engine.
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
Build, run, and scale AI agents like APIs and microservices.
Offline multi-agent simulation and prediction engine: Neo4j plus Ollama, local.
Chat with your data: an LLM agent that builds charts and business insights.
Apache framework for apps that make decisions: agents, chatbots, simulations.