GraphCanon updated 1d · GitHub synced 1d
Decision brief
awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.
Good fit when
- When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.
- If your project requires integrating multiple SDKs that support diverse tech stacks, as awesome-ai-sdks aims to be agnostic in this aspect.
Avoid when
- For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive.
- If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (42d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- 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-sdksHow it fits your stack(7)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
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
Provides an overview of various tools including frameworks and libraries utilized in developing autonomous AI agents.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 21, 2026)
nts that are reactive, observable, and robust. It supports building agents with Node.js, Python, and Rust.Source link
Source: README excerpt (regex_v1, Aug 21, 2026)
are reactive, observable, and robust. It supports building agents with Node.js, Python, and Rust.Source link
Source: README excerpt (regex_v1, Aug 21, 2026)
- [ChatGPT Pluhin](https://github.com/e2b-dev/chatgpt-plugin)Source link
Tags
README
:gift: Awesome SDKs For AI Agents
Welcome to our list of AI agents SDKs. A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
The list is done according to our best knowledge, although definitely not comprehensive. Discussion and feedback appreciated! :heart:
Have anything to add?
You have something to add or improve about our list? Do it via pull request.
Who's behind this?
This list is made by the team behind e2b. E2b is building an operation system of AI agents - that is, a set of tools, environments, SDKs and APIs. E2b is agnostic to your tech stack and aims to work with any tooling for building AI agents.
Join the community
- Follow us on Twitter
- Join Twitter community for AI agents
- Join our Discord
- Want to discuss anything about AI agents? Schedule a call with us
Feel free to reach out to us at hello@e2b.dev. Check out also our database of AI agents.
E2B
E2b is an operating system for AI agents, that is, a set of tools, APIs, and cloud environments for agents.
Links
- Web
- GitHub
- Twitter
- Vasek Mlejnsky (CEO, founder)
- Tomas Valenta (CEO, founder)
- Tereza Tizkova (Growth & Community)
- Jakub Novak (Software Engineer)
- Discord
AgentOps
AgentOps create tools to make agents actually work, e.g., graphs, monitoring, and replay analytics.
Links
Chidori
Chidori is a reactive runtime for building AI agents. It provides a framework for building AI agents that are reactive, observable, and robust. It supports building agents with Node.js, Python, and Rust. It is currently in alpha, and is not yet ready for production use.
Fixie
Fixie is a platform for conversational AI that enables to build agents in any language. They have their own agent protocol.
Links
Helicone
An open-source observability platform for GPT-3. Allows to track usage, costs, and latency with one line of code.
Links
- Web
- GitHub
- [Linkedin](https://www.lin
For agents
This page has a .md twin and JSON over the API.