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TBD:
- Add to visual:
- Athena Intelligence
- LLM Stack
- Cdoe Autopilot
- GPT Discord
- Promptly
- LLM Stack
- Maige
- GitWit
- Devon
- vortic ai
- UFO
- GPT Swarm
Add to readme list:
- https://zapier.com/central
- Codeium
- Semantix AI Agents - add when they have english version
- NoteWizard - only if it's AI agent - TBD test
- Postbot (TBD - check more)
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<h1 align="center">
ð® Awesome AI Agents
<p align="center">
<a href="https://discord.gg/U7KEcGErtQ" target="_blank">
<img src="https://img.shields.io/static/v1?label=Join&message=%20discord!&color=mediumslateblue">
</a>
<a href="https://twitter.com/e2b_dev" target="_blank">
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</a>
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</h1>
<h3 align="center">
Add <a href="https://e2b.dev/docs?ref=awesome-sdks">Code Interpreter</a> to your AI App
</h3>
<h5 align="center">ð <a href="https://e2b.dev/ai-agents">See this list in web UI</a></h5>
<h5 align="center">ð <a href="https://forms.gle/UXQFCogLYrPFvfoUA">Submit new product here</a></h5>
<img src="assets/landscape-latest.png" width="100%" alt="Chart of AI Agents Landscape" />
Welcome to our list of AI agents.
We structured the list into two parts:
- [Open source projects](#open_hands-open-source-projects)
- [Closed-source projects and companies](#lock-closed-source-projects-and-companies)
To filter the products by categories and use-cases, see the ð [web version of this list](https://e2b.dev/ai-agents). ð
The list is done according to our best knowledge, although definitely not comprehensive. Check out also <a href="https://github.com/e2b-dev/awesome-sdks-for-ai-agents">the Awesome List of SDKs for AI Agents</a>.
Discussion and feedback appreciated! :heart:
## Have anything to add?
Create a pull request or fill in this [form](https://forms.gle/UXQFCogLYrPFvfoUA). 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](https://github.com/e2b-dev/awesome-sdks-for-ai-agents). This list is only for AI assistants and agents.
<!---
## Who's behind this?
This list is made by the team behind [e2b](https://github.com/e2b-dev/e2b). E2b is building AWS for AI agents. We help developers to deploy, test, and monitor AI agents. E2b is agnostic to your tech stack and aims to work with any tooling for building AI agents.
--->
## Check out E2B - Code Interpreting for AI apps
- Check out [Code Interpreter SDK](https://e2b.dev/docs?ref=awesome-sdk)
- Explore examples in [E2B Cookbook](https://github.com/e2b-dev/e2b-cookbook)
- Read our [docs](https://e2b.dev/docs?ref=awesome-sdks)
- Contact us at [[email protected]](mailto:[email protected]) or [on Discord](https://discord.gg/35NF4Y8WSE). Follow us on [X (Twitter)](https://twitter.com/e2b_dev)
# Open-source projects
## [Adala](https://github.com/HumanSignal/Adala)
Adala: Autonomous Data (Labeling) Agent framework
<details>
![Image](https://github.com/HumanSignal/Adala/raw/master/docs/src/img/logo-dark-mode.png)
### 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
- [Documentation](https://humansignal.github.io/Adala/)
- [Discord](https://discord.gg/QBtgTbXTgU)
- [GitHub](https://github.com/HumanSignal/Adala)
</details>
## [Agent4Rec](https://github.com/LehengTHU/Agent4Rec)
Recommender system simulator with 1,000 agents
<details>
<p><img src="https://github.com/LehengTHU/Agent4Rec/raw/master/assets/sandbox.png" alt="Image" /></p>
### 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](https://grouplens.org/datasets/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
- [Paper](https://arxiv.org/abs/2310.10108)
</details>
## [AgentForge](https://github.com/DataBassGit/AgentForge)
LLM-agnostic platform for agent building & testing
<details>
![Image](https://pbs.twimg.com/profile_images/1667167265060528129/l8S9vtP2_400x400.jpg)
### Category
General purpose, Build your own, Multi-agent
### Description
- A low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures, compatible with various LLM models.
- Facilitates building custom agents and cognitive architectures with ease.
- Supports multiple LLM models including OpenAI, Anthropic's Claude, and local Oobabooga, allowing flexibility in running different models for different agents based on specific requirements.
- Provides customizable agent memory management and on-the-fly prompt editing for rapid development and testing.
- Comes with a database-agnostic design ensuring seamless extensibility, with straightforward integration with different databases like ChromaDB for various AI projects.
### Links
- [GitHub](https://github.com/DataBassGit/AgentForge)
- [Web](https://www.agentforge.net/)
- [Discord](https://discord.com/invite/ttpXHUtCW6)
- [X](https://twitter.com/AgentForge)
</details>
## [AgentGPT](https://agentgpt.reworkd.ai/)
Browser-based no-code version of AutoGPT
<details>
![Image](https://raw.githubusercontent.com/reworkd/AgentGPT/main/next/public/banner.png)
### Category
General purpose
### Description
- A no-code platform
- Process:
- Assigning a goal to the agent
- Witnessing its thinking process
- Formulation of an execution plan
- Taking actions accordingly
- Uses OpenAI functions
- Supports gpt-3.5-16k, pinecone and pg_vector databases
- Stack
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally
<!--
### Features
- Uses OpenAI **functions**
- Supports gpt-3.5-16k, pinecone and pg_vector databases
### Stack
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally
-->
### Links
- [Documentation](https://docs.reworkd.ai/)
- [Website](https://agentgpt.reworkd.ai/)
- [GitHub](https://github.com/reworkd/AgentGPT)
</details>
<!-- This is a comment that appears only in the raw text -->
## [AgentPilot](https://github.com/jbexta/AgentPilot)
Build, manage, and chat with agents in desktop app
<details>
![Image](https://github.com/jbexta/AgentPilot/raw/master/docs/demo.png)
### Category
General purpose
### Description
- Integrated into Open Interpreter and MemGPT
- Group chats feature
### Links
- [GitHub](https://github.com/jbexta/AgentPilot)
- [X ](https://twitter.com/AgentPilotAI)
-
</details>
## [Agents](https://github.com/aiwaves-cn/agents)
Library/framework for building language agents
<details>
![Image](https://github.com/aiwaves-cn/agents/raw/master/assets/agents-logo.png)
### Category
General purpose, Build your own, Multi-agent
### Description
- **Long-short Term Memory**: Language agents in the library are equipped with both long-term memory implemented via VectorDB + Semantic Search and short-term memory (working memory) maintained and updated by an LLM.
- **Tool Usage**: Language agents in the library can use any external to
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AI Agent大模型是基于大型语言模型(LLMs)构建的智能体,它们能够执行复杂的任务,包括与环境的交互、决策制定和执行操作。这些智能体通过自然语言处理技术与人类或其他智能体进行交流,具备理解和生成语言的能力。 AI Agent的核心组成部分包括任务规划、记忆系统、工具使用以及与外部世界交互的能力。任务规划涉及将复杂任务拆解为更小的子任务,并通过自我反思来优化结果。记忆系统则包括短期记忆和长期记忆,短期记忆处理聊天上下文和任务规划内容,而长期记忆则通过外部数据库实现。工具使用能力让Agent能够调用外部API或其他专业工具来解决问题。此外,AI Agent还具备社会能力,可以通过社会交互进行协作和竞争。 AI Agent在多个领域都有应用,包括客户服务、教育、医疗、游戏、软件开发和科学研究等。它们在执行任务和提高工作效率方面展现出强大的能力,尤其在需要创造力和适应性的领域。然而,AI Agent的发展仍面临一些挑战,包括对大模型核心能力的依赖、效率和成本问题、执行链路的复杂性等。 尽管存在局限性,AI Agent作为通往通用人工智能(AGI)的重要探索方向,其发展预示着未来人工智能技
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