agentset-ai/agentset
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
About agentset-ai/agentset
agentset-ai/agentset is an open-source project on GitHub, mainly written in TypeScript. The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more. It currently holds 2,093 stars and 187 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
Project Overview
AI Homed tracks it on the AI Agent Memory board.
GitHub Repository Details
README
Agentset
RAG. Optimized for maximum performance.
Docs · Report a bug · Feature request · Changelog
Agentset is the open-source platform to build, evaluate, and ship production-ready RAG and agentic applications. It provides end-to-end tooling: ingestion, vector indexing, evaluation/benchmarks, chat playground, hosting, and a developer-friendly API.
Features
- Turnkey RAG: ingestion, chunking, embeddings, and retrieval
- Model agnostic: works with your choice of LLM, embeddings, and vector DB
- Chat playground with message editing and citations
- Production hosting with preview links and custom domains
- API + typed SDKs, OpenAPI spec
- Built-in multi-tenancy
- Built with TypeScript, Next.js, AI SDK, Prisma, Supabase, and Trigger.dev
Getting Started
Agentset Cloud
The fastest way to get started with Agentset. Generous free tier with 1,000 pages and 10,000 retrievals. No credit card required.
- Sign up: https://app.agentset.ai/login
Self-host Agentset
Follow our complete guide: https://docs.agentset.ai/open-source/prerequisites
Quick Start (Local Development)
# 1) Copy env and fill required values
cp .env.example .env
2) Install dependencies
bun install
3) Run database migrations (from the repo root)
bun db:deploy
4) Start the app
bun dev:web
Useful scripts:
bun db:studio– open Prisma Studiobun dev:web– run only the web app
Star Us
If you find Agentset useful, please give the repo a star — it helps a lot!

Contributing
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