Agents IA
Langchain
The agent engineering platform
★ 147,4 k étoilesMIT
Voir le guide →griptape est un projet de agents IA open source, créé par griptape-ai (griptape-ai/griptape sur GitHub). Il compte 2 579 étoiles sur GitHub et 262 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
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…
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de griptape — continuez à explorer de part et d'autre.
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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.
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Apache framework for apps that make decisions: agents, chatbots, simulations.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.