Cutting Through the Agent Hype
An opinionated, scored catalogue of autonomous AI tooling — because GitHub stars measure hype, not quality.
Generated for project: Agentic Index
New AI agent frameworks appear weekly, each backed by a README full of superlatives and a demo that works exactly once. If you’re choosing tooling for production work — multi-agent orchestration, RAG pipelines, dev tooling — the landscape is a fog of marketing copy and GitHub stars that tell you nothing about whether the thing actually holds up under load.
The Agentic Index exists because evaluation triage shouldn’t be repeated from scratch every time you start a project. It’s a scored, curated catalogue with a transparent methodology: what each tool does, how mature it is, whether it actually works. Data-driven scoring, fast search, available as a PyPI package for CLI access. The scoring is deliberate and the opinions are visible.
This is not a neutral aggregator. Neutrality in a market flooded with hype is just another form of complicity. The index is the thing the ecosystem needed but nobody was maintaining honestly — a single source of evaluated truth for the agentic AI tooling landscape.