Agentic Directory
Find AI that actually does things. A curated directory of agentic AI products and services, scored on a 20-point agenticness scale across five dimensions.
Hero ideas
- Find AI that actually does things.
- Not chatbots. Agents.
- Discover agentic AI products and services
Overview
Agentic Directory is an AI-first directory that helps users discover agentic AI products — tools and services that can take autonomous action, not just chat. Every product is evaluated and categorized using a 20-point "agenticness" scoring system across five dimensions.
The directory features vendor portals for claiming and managing listings, a submission pipeline with AI-powered enrichment via web crawling, and a conversational "Ask" interface that lets users describe what they need and get matched to relevant products. Categories, tags, and use-case filtering make it easy to find the right tool for the job.
Why we built it
The agentic AI space is exploding, but discovery is fragmented. Most directories lump chatbots in with genuinely autonomous systems. We built Agentic Directory to draw a clear line: this is for AI that acts. The scoring system gives users a fast, honest read on what a product can actually do on its own.
How it works
1. Browse or search the directory by category, use case, or tag 2. Ask — describe your problem in plain language and get matched to relevant products 3. Compare — every listing shows an agenticness score across five dimensions 4. Submit — vendors can submit products, claim listings, and manage their profiles 5. Stay current — a background worker crawls and re-enriches listings on a schedule
Feature highlights
- 20-Point Agenticness Score — Five-dimension evaluation: autonomy, planning, tool use, memory, and adaptability
- Conversational Discovery — "Ask" interface matches plain-language needs to products using AI embeddings
- Vendor Portal — Claim listings, manage profiles, upgrade plans via Stripe
- AI-Powered Enrichment — Background worker crawls product sites and extracts structured data
- Full-Text + Semantic Search — Keyword search plus pgvector embeddings for meaning-based matching
- Category Taxonomy — Organized by use case, industry, and capability
Notes
- Tech Stack: Next.js 16, TypeScript, React 19, Tailwind CSS 4, shadcn/ui, PostgreSQL (Neon) + Prisma + pgvector, Supabase Auth, Stripe, OpenAI GPT-5.1, Firecrawl, SendGrid, Vitest + Playwright
- Hosting: Render (web service + background worker)
- For Whom: Teams evaluating agentic AI tools, founders scouting the competitive landscape, developers looking for agent frameworks
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