slavakurilyak/awesome-ai-agents
AI EngineeringA curated index of agentic AI projects, giving builders one place to scan the ecosystem before choosing a framework, memory layer, or agent.
The problem
Anyone standing up an agent today faces a fragmented landscape: frameworks, memory layers, sandboxes and tooling are scattered across blog posts, Discord threads and personal twitter threads. You end up reading fifty READMEs to compare five candidates. This project answers that by curating 300+ agentic AI projects into category lists — AI agents, long-term memory, development frameworks, and more — each linked to a qualifying public repository, with the original submitter and current maintainers noted where records support it.
What's different
The usual approach is a hand-rolled bookmark folder, a Twitter thread you can never find again, or a general awesome list that mixes runtimes with unrelated tools. This project narrows scope to the agent ecosystem and enforces a listing rule: a project must have a public repository on GitHub, GitLab.com, or Codeberg, so hosted-only products without code are excluded. That single rule makes it more useful as a shortlist than link collections that accept landing pages, and it keeps the list inspectable rather than promotional. The maintainer attribution — showing who submitted and who currently maintains, with "not yet verified" where unconfirmed — is an unusual honesty signal for an index.
Who it's for
Developers and technical leads evaluating agent frameworks or memory components, and teams doing a landscape scan before committing to a dependency. It is also useful for people writing architecture docs who need a defensible source list. It is not for anyone looking for a tutorial, a runnable starter template, or opinionated guidance on which framework to pick — the list is an index, not a review. Non-technical readers will get little from it.
Cost of adoption
No runtime, dependencies or install command: it is Markdown on GitHub, MIT-licensed, so adoption cost is reading time. The real cost is verification — inclusion is not endorsement, and the README itself notes that maintainer roles may be "not yet verified" or "not yet recovered." Links can rot, projects can be abandoned, and category placement is broad (103 entries under AI Agents). Expect to check each candidate's own repository for activity and license before relying on it.
Verdict
This is an established list, created in January 2024, with a modest but steady following: roughly 2,657 stars and 697 forks after about 1,013 days, and a two-day run on the trending board at +47 and +44 stars. That pattern looks like steady organic discovery rather than a spike, and there is no Hacker News thread driving it. Treat it as a well-maintained starting point for a dependency scan, not a decision-making tool; the value depends entirely on how current the entries are, which the README does not promise.
Written by AI from the project's README, updated October 25, 2026. The project's own docs are the source of truth.