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OpenContracts

The open document intelligence platform — build collaborative knowledge bases that humans and AI agents can work with together

★ 1,406 GitHub MIT document-intelligenceknowledge-baseannotationspdfdocxragai-agentsmcplegal-techdocument-management RAG & Knowledge

Overview

OpenContracts is an MIT-licensed, self-hosted document analytics and knowledge management platform. It ingests PDF, DOCX, and text documents into corpuses with folder hierarchies, permissions, and full version history. Teams can annotate documents, extract structured data with custom schemas, deploy AI agents powered by PydanticAI to search and analyze content, and expose everything through an MCP server to AI tools like Claude and Cursor. Features include: a pluggable parser/pipeline system, custom metadata schemas, human annotation interfaces, AI agents for document search and analysis, MCP server integration, data extraction across hundreds of documents, forum-style discussions, corpus automation triggers, and badge-based reputation systems. The platform is Docker-based with an MIT license, has 1400+ GitHub stars, and serves as a complete Document Management System (DMS) for the agentic world.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  opencontracts:
    image: jscrudato/nlm-ingestor-opencontracts:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/opencontracts:/data

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Guides & articles

Getting Started with OpenContracts: A Complete Walkthrough

Step-by-step tutorial for deploying and using OpenContracts. Learn how to create corpuses, ingest documents, annotate content, deploy AI agents, and extract structured data across hundreds of documents.

Jul 24, 2026

OpenContracts: Build Collaborative Knowledge Bases with AI Agents

A comprehensive guide to OpenContracts, the MIT-licensed, self-hosted document intelligence platform. Learn about its features including AI agents, MCP integration, document annotation, data extraction, and collaborative workflows.

Jul 24, 2026