# slavakurilyak/awesome-ai-agents

Awesome list of 300+ agentic AI resources

Repository: https://github.com/slavakurilyak/awesome-ai-agents
Canonical: https://ross.abutalabs.com/products/slavakurilyak-awesome-ai-agents
Language: Python
License: MIT
License Family: permissive
Topics: agent, agentic, agents
Last push: 2025-09-09T22:33:26+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 41, release rhythm 35, longevity 68
- inputs: {"age_days": 961, "days_push": 358, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2191, forks 534 (observed 2026-08-28T04:06:24.153928+00:00)

## What it is
A curated awesome list of 300+ agentic AI resources, frameworks, and projects maintained by Slava Kurilyak. It catalogs popular AI agent tools like AutoGPT, LangChain, and Ollama with star counts and update dates.

## Use cases
- find open-source AI agent frameworks
- discover agentic AI projects to learn from
- compare popular LLM agent tools by popularity
- keep up with the latest agentic AI ecosystem
- find resources for building autonomous AI agents

## When to choose
- you want a broad curated directory of AI agent projects
- you're researching the agentic AI landscape
- you need a starting point to explore agent frameworks

## When to avoid
- you need working software rather than a list of links
- you need in-depth documentation or tutorials on a specific framework
- you need a maintained tool rather than a reference catalog

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, developer-tools
- domain: artificial-intelligence, large-language-models, awesome-lists
- platform: -
- tags: awesome-list, curated-resources, agentic-ai, llm-agents, ai-agents, web-server

## Member repositories
- slavakurilyak/awesome-ai-agents (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:24.153928+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:47:36.560212+00:00, confidence not recorded.
  - readme: https://github.com/slavakurilyak/awesome-ai-agents (fetched 2026-08-28T04:06:24.153928+00:00, sha aa5e4dce8e0b)
- Data as of 2026-08-30T08:39:29.467469+00:00.