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Cubiczan/trust-ledger-os

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Trust and risk control plane for AI teams, with phases, routes and a package catalog.

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About

Trust and risk control plane for AI teams, with phases, routes and a package catalog.

README

Trust Ledger OS is a trust and risk control plane for AI teams. Every high-impact change is reviewed, traced, and recorded before it reaches customers or cash.

License: MIT Next.js TypeScript PRISMtrace

Release Workflow npm package PyPI package MCP server

Product screenshots

Trust Ledger OS desktop overview explaining the review workflow and its supporting tool stack.

trust-ledger-os product interface

Existing UI capture stored in this repository; displayed values may be demo or sample data.

Overview

The repo combines a public landing page with four scaffolded implementation phases. The same roadmap is mirrored into reusable package boundaries so the app, docs, and future library work stay aligned.

Mirrors:

  • icohangar-ops/trust-ledger-os
  • Cubiczan/trust-ledger-os

Core Roles

  • PRISM: runtime observability for agent calls, approvals, and latency.
  • Prelint: pre-merge product review for policy drift, bad defaults, and risky logic.
  • GIDE: secure offline editing and emergency fixes when the network is not trusted.

What It Does

  1. Capture a code change, spend request, or agent action.
  2. Review it against product policy and trust rules.
  3. Attach a PRISM trace to the runtime decision.
  4. Produce an approve, deny, or counter outcome.
  5. Store the decision in a ledger future runs can reuse.

Live Routes

  • / landing page and roadmap
  • /foundation phase 1 scaffold
  • /framework-benchmark phase 2 scaffold
  • /research-reasoning phase 3 scaffold
  • /production-controls phase 4 scaffold
  • /decisions decision ledger (CHP decision substrate) · GET /api/decisions live read

Phase Packages

  • foundation-kit/: shared agent glossary, decision tree, model/tool matrix, and prompt skeletons.
  • framework-benchmark-suite/: framework profiles, comparison cases, and scoring rubric.
  • research-reasoning-kit/: research pipeline stages and reusable reasoning patterns.
  • production-controls-kit/: eval harness, drift monitoring, guardrails, and release gate scaffold.
  • decision-substrate/: CHP decision records — R0 gate, deterministic foundation scoring (guardrails 40 / bounded result 30 / parity 30), configurable per-domain floors (general 70, finance 100, blockchain/DeFi 85), substrate-enforced human locks (TRUST_LEDGER_CHP_REQUIRE_HUMAN_LOCK, default on), and an append-only JSONL ledger sealed with SHA-256 body_sha256 revalidated on every read. TypeScript port of the primitive proven in erp-control-plane; canonical JSON via @cubiczan/chp.

Distribution Surfaces

  • packages/npm/: npm-friendly manifest and catalog export, published as @cubiczan/[email protected].
  • packages/python/: PyPI-friendly manifest and catalog export, published as trust-ledger-os==0.1.2.
  • packages/mcp/: MCP-ready tool and resource catalog, published as [email protected].

Package Commands

  • npm package build: npm --prefix packages/npm run build
  • MCP package build: npm --prefix packages/mcp run build
  • MCP server run: npm --prefix packages/mcp start
  • Python CLI: PYTHONPATH=packages/python/src python3 -m trust_ledger_os.cli --manifest
  • Vercel Python entrypoint: src.trust_ledger_os.vercel_app:app from packages/python

Release Workflow

  • GitHub Actions workflow: .github/workflows/release.yml
  • Trigger it with a v* tag or workflow_dispatch
  • Required secrets for publish mode:
    • NPM_TOKEN
    • PYPI_API_TOKEN
  • The workflow builds the Next app, the npm and MCP packages, and the Python package before publishing.

Demo Assets

The 2-minute video plan and FFmpeg render command are in docs/TRUST_LEDGER_OS_VIDEO.md.

Generated assets live in public/demo:

  • trust-ledger-os-demo.mp4
  • 01-hero-desktop.png
  • 02-how-it-works.png
  • 03-tool-stack.png
  • 04-builderbase-fit.png
  • 05-demo-deliverables.png
  • 06-hero-mobile.png

Implementation Roadmap

  1. Foundation kit: shared agent glossary, model/tool matrix, and when-to-use-an-agent guidance.
  2. Framework benchmark: compare LangGraph, OpenAI Agents SDK, AutoGen, PydanticAI, and LlamaIndex.
  3. Research and reasoning: fundamental analysis, deep search, and reusable reasoning templates.
  4. Production controls: eval harnesses, drift checks, tracing, guardrails, and approval gates.

Getting Started

npm install
npm run dev

Build

npm run build

Development Notes

  • Keep shared data in the package folders, not in the page components.
  • Import from each package src/ entry until the package exports are formalized.
  • Add new phase work as reusable types and data first, then wire routes and docs.
  • Treat README.md and docs/TRUST_LEDGER_OS.md as the roadmap source of truth.

Repo Layout

trust-ledger-os/
├── app/
├── decision-substrate/
├── docs/
├── foundation-kit/
├── framework-benchmark-suite/
├── production-controls-kit/
├── research-reasoning-kit/
├── package.json
├── README.md
└── tsconfig.json

from github.com/Cubiczan/trust-ledger-os

Installing Cubiczan/trust-ledger-os

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Cubiczan/trust-ledger-os

FAQ

Is Cubiczan/trust-ledger-os MCP free?

Yes, Cubiczan/trust-ledger-os MCP is free — one-click install via Unyly at no cost.

Does Cubiczan/trust-ledger-os need an API key?

No, Cubiczan/trust-ledger-os runs without API keys or environment variables.

Is Cubiczan/trust-ledger-os hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Cubiczan/trust-ledger-os in Claude Desktop, Claude Code or Cursor?

Open Cubiczan/trust-ledger-os on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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