# kyrolabs/awesome-agents

🤖 Awesome list of AI Agents

Repository: https://github.com/kyrolabs/awesome-agents
Canonical: https://ross.abutalabs.com/products/awesome-agents
License Family: other
Last push: 2026-08-23T08:27:55+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 82
- inputs: {"age_days": 1158, "days_push": 10, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2786, forks 772 (observed 2026-08-28T04:07:21.873261+00:00)

## What it is
A curated awesome list of open-source tools, frameworks, and products for building AI agents. It organizes resources into categories such as frameworks, testing and evaluation, software development, research, conversational agents, and automation.

## Use cases
- find open-source AI agent frameworks
- discover tools to build LLM-powered agents
- compare agent frameworks like LangChain and LlamaIndex
- find agent testing and evaluation tools
- browse browser automation and automation agent tools
- research the AI agent ecosystem before choosing a stack

## When to choose
- you want a curated starting point for exploring the AI agent ecosystem
- you are evaluating which agent framework or tool to adopt
- you want to stay current on new open-source agent projects

## When to avoid
- you need a runnable library or framework rather than a list of links
- you need detailed documentation or tutorials rather than a catalog
- you need guaranteed maintenance or support for the listed projects

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

## Member repositories
- kyrolabs/awesome-agents (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:21.873261+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 2026-08-30T08:16:01.292119+00:00, confidence not recorded.
  - readme: https://github.com/kyrolabs/awesome-agents (fetched 2026-08-28T04:07:21.873261+00:00, sha cccdb4481ac2)
- Data as of 2026-08-30T08:39:29.467469+00:00.