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The judgment layer for agents. Capture consequential judgments and turn hard-won expertise into better calls across agents and teams.

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Proofpress logo

Proofpress

The judgment layer for agents.

Capture consequential judgments. Turn hard-won expertise into better calls across agents and teams.

Python 3.11+ MCP CI License: Apache-2.0

Website · Quick start · Connect an agent · Documentation

Carry judgment forward

Memory recalls what. Skills guide how. Expert judgment weighs the tradeoffs for a particular situation.

Proofpress connects a judgment to its evidence, reasons, review history, and scope—so future agents can build on it and teams can manage how it is used.

Approve the model for drafting. Restrict payment actions. Overall accuracy improved, but payment failures increased. Applies to reviewed drafts; excludes payments and permission changes.

The same pattern applies to engineering choices: a reviewed architecture decision can guide later code changes across the team, with its reasons and boundaries intact.

From one judgment to shared expertise

  1. Capture a judgment with supporting evidence and intended scope.
  2. Review its support and admit it through authorized governance.
  3. Reuse current, in-scope records with permissions and version history.
  4. Update or withdraw judgments as evidence, policy, and outcomes change.

MCP, CLI, Python, and HTTP connect agents to the same lifecycle. Retrieval supplies governed context; action enforcement requires an integrated runtime hook. Agents cannot grant themselves owner authority.

Quick start

Requires Python 3.11+, Git, and uv. Use macOS/Linux or Windows WSL2.

uv tool install --with "mcp>=2,<3" "git+https://github.com/chenmingtang830/proofpress.git"
uv tool update-shell
proofpress quickstart --ui

Open a new terminal if proofpress is not found. The command creates ./proofpress-demo with synthetic evidence and opens the review UI. No account is required. Stop with Ctrl-C; the workspace remains on disk.

Add the generated proofpress-demo/proofpress-mcp.json to your agent’s MCP settings to connect to this demo.

Your next step Guide
Use your own files locally Localhost workspace
Join a team workspace Agent plugin and Remote MCP
Run your own server Self-hosting
Build an integration API and lifecycle and task runs

Installing the plugin does not provision a workspace. Connect to your assigned team endpoint or your own server with a separate agent credential.

Explore

Compatibility

Use ProofpressClient and proofpress for new integrations. Portable artifact commands remain under proofpress legacy; see the legacy guide.

Earlier diagrams: architecture · research model.

Built by Continuara Labs. Work with us.

About

The judgment layer for agents. Capture consequential judgments and turn hard-won expertise into better calls across agents and teams.

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

20 stars

Watchers

1 watching

Forks

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