Ross ROSS = Recommend OSS · open-source software intelligence for agents

Open-Source-Legal/OpenContracts

The open document intelligence platform for builders and hackers - DMS for the agentic world observed · 2026-08-28

github.com/Open-Source-Legal/OpenContracts · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

94/100

  • Activity 99
  • Release rhythm 84
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 51
  • age_days: 1409
  • days_rel: 24
  • days_push: 7
  • n_releases_24m: 6

Full methodology

Adoption not part of the score

1451 stars · 183 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenContracts is a self-hosted, MIT-licensed document intelligence platform that turns document repositories into a programmable citation graph with human annotation, structured extraction, and AI agents. It exposes the same corpus through a GraphQL/REST API, an MCP server for AI tools like Claude and Cursor, and a React UI.

Use cases

  • build a searchable knowledge base from PDFs and DOCX files
  • extract structured data fields across hundreds of documents with LLMs
  • annotate documents by hand and with AI agents
  • expose a document corpus to Claude or Cursor via MCP
  • run agents that search and answer questions over a document corpus
  • self-host a document management system with fine-grained permissions
  • fork and version-control shared document corpuses

When to choose

  • you need self-hosted document ingestion, annotation, and LLM-powered extraction in one platform
  • you want to give AI agents structured access to a document corpus via MCP or API
  • your team needs human-in-the-loop annotation alongside automated extraction
  • you need multi-format (PDF/DOCX/text) parsing with a pluggable pipeline

When to avoid

  • you only need simple full-text search without annotation or extraction
  • you want a lightweight library to embed in your own app rather than a full platform
  • you need a fully managed SaaS with no self-hosting overhead
  • your documents are mostly spreadsheets or images rather than text documents

Facets

application · maturity active

rag vector-database etl search-engine mcp agent-framework prompt-engineering pdf nlp api-framework graphql web-framework artificial-intelligence large-language-models pdf self-hosted legal developer-tools python self-hosted cross-platform document-intelligence document-management annotation corpus-management data-extraction mcp-server pydantic-ai docling knowledge-base citation-graph ai-agents retrieval-augmented-generation natural-language-processing documents web-server docker

2 sources

Member repositories

RepositoryRoleHealth v2
Open-Source-Legal/OpenContractsmain94

For agents

markdown · JSON · MCP: product_card(name="Open-Source-Legal/OpenContracts")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem