awesome-ai-agents
e2b-dev/awesome-ai-agents
A list of AI autonomous agents
A list of AI autonomous agents
Categories
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Install
git clone https://github.com/e2b-dev/awesome-ai-agentsREADME
🔮 Awesome AI Agents
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🌟 See this list in web UI
👉 Submit new product here
Welcome to our list of AI agents. We structured the list into two parts:
- Open source projects
- Closed-source projects and companies
To filter the products by categories and use-cases, see the 🌟 web version of this list. 🌟
The list is done according to our best knowledge, although definitely not comprehensive. Check out also the Awesome List of SDKs for AI Agents. Discussion and feedback appreciated! :heart:
Have anything to add?
Create a pull request or fill in this form. Please keep the alphabetical order and in the correct category.
For adding AI agents'-related SDKs, frameworks and tools, please visit Awesome SDKs for AI Agents. This list is only for AI assistants and agents.
Check out E2B - Code Interpreting for AI apps
- Check out Code Interpreter SDK
- Explore examples in E2B Cookbook
- Read our docs
- Contact us at hello@e2b.dev or on Discord. Follow us on X (Twitter)
Open-source projects
Adala
Adala: Autonomous Data (Labeling) Agent framework
Category
General purpose, Build your own, Multi-agent
Description
- Reliable agents: Built on ground truth data for consistent, trustworthy results.
- Controllable output: Tailor output with flexible constraints to fit your needs.
- Specialized in data processing: Agents excel in custom data labeling and processing tasks.
- Autonomous learning: Agents evolve through observations and reflections, not just automation.
- Flexible and extensible runtime: Adaptable framework with community-driven evolution for diverse needs.
- Easily customizable: Develop agents swiftly for unique challenges, no steep learning curve.
Links
Agent4Rec
Recommender system simulator with 1,000 agents
Category
General purpose, Build your own, Multi-agent
Description
- Agent4Rec is a recommender system simulator that utilizes 1,000 LLM-empowered generative agents.
- These agents are initialized from the MovieLens-1M dataset, embodying varied social traits and preferences.
- Each agent interacts with personalized movie recommendations in a page-by-page manner and undertakes various actions such as watching, rating, evaluating, exiting, and interviewing.
Links
AgentForge
LLM-agnostic platform for