GraphCanon updated 2d · GitHub synced 2d · 34 views this month
Decision brief
Provides a curated list of AI autonomous agents, both open and closed-source.
Good fit when
- When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation.
- If your project benefits from the structure provided in categories like General Purpose, Build Your Own Agents, and Multi-agent systems. For example, if you are looking for an agent that can be fine-t
Avoid when
- When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time.
- If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems.
- Requirements:
- While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (40d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for E2B. Display-only - separate from trust and ranking.
- Company
- E2B | Cloud for AI Agents·GitHub org profile·1mo
- Funding
- $11,500,000 (2024-06)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
git clone https://github.com/e2b-dev/awesome-ai-agentsHow it fits your stack(15)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Curates a collection of both open source and closed-source AI agent projects, categorized for easy navigation.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Graph entities
Tags
README
🔮 Awesome AI Agents
Add Code Interpreter to your AI App
🌟 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](
For agents
This page has a .md twin and JSON over the API.