hrevn-openclaw-cli 0.1.0a0

HREVN CLI for OpenClaw-style local workflows.

HREVN for OpenClaw - Verifiable Workflow State for Agent-First Flows

Thin OpenClaw-facing surface for the live HREVN runtime.

The installable CLI uses only the Python standard library. No extra runtime dependencies are required for the first alpha tests.

Quick Start

Recommended local-first path:

git clone https://github.com/ai-human-andalusia/hrevn-surface-openclaw
cd hrevn-surface-openclaw
pipx install .
export HREVN_API_BASE_URL="https://api.hrevn.com"
export HREVN_API_KEY="replace-with-issued-alpha-key"
hrevn health-check
hrevn self-test
hrevn baseline

If pipx is not available, you can still install locally with:

python3 -m pip install .

If you prefer not to install the CLI yet, the script path still works:

export HREVN_API_BASE_URL="https://api.hrevn.com"
export HREVN_API_KEY="replace-with-issued-alpha-key"
python3 scripts/hrevn_openclaw_api.py health-check
python3 scripts/hrevn_openclaw_api.py self-test
python3 scripts/hrevn_openclaw_api.py baseline-check \
  --input examples/baseline_check_request.json

If the first test works, you should see a real BaselineResult from the live managed runtime, including a real check_id and checked_at.

Why HREVN

AI agents and multi-step workflows fail in ambiguous ways. When a sequence is interrupted, neither the user nor the system can always determine with certainty what completed, what failed mid-execution, and where work can safely resume. Without a verifiable record, context is reconstructed from memory or chat history, wasting tokens, repeating work, and leaving no reliable trail.

HREVN adds a structured evidence layer: baseline checks before consequential steps, tamper-evident receipts after execution, and manifests that allow workflows to continue from the last verified point rather than restarting from scratch.

For teams operating in regulated or high-stakes environments, HREVN also supports evidentiary discipline: structured records of what ran, under what authority, and when it stopped. This is particularly relevant for AI systems that may fall within EU regulatory timelines in 2026 and beyond. HREVN does not make a system legally compliant, but it provides structured, verifiable evidence that compliance, audit, and governance processes can use.

OpenClaw gives agent-first workflows a verifiable action trail, so when execution stops, the next call can resume from the last trusted point instead of reconstructing state from scratch.

What this surface gives OpenClaw

• a CLI-first bridge to the live HREVN runtime
• machine-readable discovery assets for agent-first tooling
• baseline-first testing before deeper validation or bundle flows
• a compact way to inspect missing_required_blocks, risk_flags, and remedy_payload

What this is not

• not the HREVN core
• not the canonical home of schemas or baseline semantics
• not a replacement for the technical core
• not a separate backend

Relationship with the core

This surface consumes the canonical HREVN core through the managed runtime and explains how an agent-first environment should enter it:

1. Baseline Check first
2. deeper validation second
3. generation / managed access later

Direction

OpenClaw is now treated as a dedicated public-facing surface candidate.

Its job is to make HREVN easier to discover and use in agent-first environments while still calling the same managed API as the other public surfaces.

Managed Runtime Bridge

See:

• docs/integration/MANAGED_API_USAGE.md
• docs/OPENCLAW_ALPHA_TESTING.md
• docs/ALPHA_EXECUTION_TRACE.md

The OpenClaw surface should expose compact, machine-readable examples against the shared HREVN managed API rather than introducing a distinct backend.

Live managed endpoint:

• https://api.hrevn.com

Machine-readable entry assets:

• openclaw_manifest.json
• scripts/hrevn_openclaw_api.py
• installable CLI via pyproject.toml

Alpha runtime path

Current supported alpha path:

• OpenClaw-oriented repo and manifest
• installable CLI first
• local helper as fallback
• https://api.hrevn.com

This is intentional. The goal of this surface is to make HREVN easy to discover and call from agent-first environments without introducing another runtime layer.

Recommended first use

Start with baseline-check first. Only move on to bundle generation or verification once the baseline result is understood and the workflow profile is clear.

Recommended alpha test sequence

1. hrevn health-check
2. hrevn self-test
3. hrevn baseline
4. hrevn governance-gap

The fourth step matters because it makes the HREVN value more concrete: the runtime does not only say pass/fail. It returns structured guidance on what governance evidence is still missing.

Public cut

This public surface is intentionally thin. It keeps:

• machine-readable entry docs
• compact examples
• the OpenClaw manifest
• an installable local-first CLI
• the lightweight API helper as compatibility path

It does not carry:

• internal handoff notes
• internal strategy memos
• a separate backend

Current status

This is a thin public OpenClaw surface with a real technical alpha testing path. It is meant for developers and agent operators who want a lightweight, machine-readable bridge to the live HREVN runtime.