A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents. This server enables AI assistants to work with Word documents through a standardized interface, providing rich document editing capabilities.
Completely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App
Adaptive Test-time Learning and Autonomous Specialization
关键参数与规格
关键参数与规格
参数
值
语言
TypeScript
类别
AI Engineering
子类别
Give agent knowledge
关键词
RAG
星标数
2,111
分叉数
191
贡献者
6
创建日期
2025-03-10
更新日期
2026-10-14
1 天星标数
0
7 天星标数
6
排名
8,968
上次排名
5,336
排名变化
-3,632
7 天星标排名
5,069
上次 7 天星标排名
5,074
7 天星标排名变化
5
总星标排名
6,067
上次总星标排名
6,064
总星标排名变化
-3
README 摘录
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. Contributing We <3 contributions big and small. Feel free to: Open an issue for bugs and feature ideas Submit a PR with focused changes Improve docs or examples Not sure where to start?
常见问题
记录了多少星标和分叉？
agentset-ai/agentset 有 2,111 个星标和 191 个分叉。
仓库排名是多少？
agentset-ai/agentset 排名第 8,968。
记录的语言和类别是什么？
agentset-ai/agentset 有 2,111 个星标，语言为 TypeScript，类别为 AI Engineering。
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.
# 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 Studio
bun dev:web – run only the web app
Star Us
If you find Agentset useful, please give the repo a star — it helps a lot!
