AG-Claw Reference Workspace

This repository is the AG-Claw research workspace. It combines a clean-room backend seed, a temporary web shell, planning documents, and a non-authoritative reference runtime tree used for behavior study and migration analysis.

Boundary

• backend/ is the clean-room implementation surface.
• web/ is the temporary AG-Claw operator shell.
• root src/ is a reference artifact for study and parity analysis, not the product foundation.
• mcp-server/ is a research utility for browsing the reference source tree safely.

Read these first before extending the system:

• docs/agclaw-clean-room-boundary.md
• docs/agclaw-local-runbook.md
• docs/agclaw-subsystem-migration-matrix.md
• docs/agclaw-replacement-backlog.md
• docs/agclaw-naming-inventory.md
• docs/agclaw-pretext-spike.md
• docs/agclaw-excluded-references.md
• docs/agclaw-next-slice-status.md
• docs/agclaw-vision-runbook.md

What Is Runnable

• backend/: clean-room HTTP services for chat, orchestration, provider health, and MES research flows
• web/: Next.js UI for local testing and operator workflows
• mcp-server/: MCP explorer for the reference src/ tree
• promptfoo/: prompt and evaluation harness

What Is Active In-App

These integrations are live today when you run the local stack:

• @chenglou/pretext is installed in web/ and drives measured chat input sizing, preview truncation helpers, and virtualized chat message height estimation.
• promptfoo is installed in promptfoo/ and wired for routed local multimodal gate runs.
• impeccable is installed in web/ as a local UI audit tool with repo presets; it is not part of the production runtime path.
• agency-agents ideas are surfaced as selectable agent packs in the settings UI, buddy flows, research orchestration, and persisted artifacts.
• OpenViking ideas are surfaced as memory namespaces and commit modes in the settings UI, orchestration metadata, and investigation bundles.
• MiroFish ideas are surfaced as staged workflow modes in the research workbench and orchestration outputs.
• nanochat ideas are surfaced as the nano-chat pack, nano briefs, and carry-forward bundle summaries.
• heretic remains intentionally excluded.

Quick Start: See The UI

One command for the full local stack, including the routed vision runtime on 127.0.0.1:11500:

Set-Location (git rev-parse --show-toplevel)
.\scripts\start-agclaw-local.ps1 -EnableRoutedVision -StartLiteLLM

Add -PullVisionModels the first time on a new machine to fetch qwen2.5vl:7b and gemma3:4b. Add -RunVisionGate if you want the promptfoo routed multimodal gate to execute after the stack comes up.

Use two terminals if you want the real clean-room backend behind the temporary web shell.

Terminal A:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
$env:PYTHONPATH = (Resolve-Path ./backend)
python -m agclaw_backend.server --host 127.0.0.1 --port 8008

Terminal B:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm install
$env:AGCLAW_BACKEND_URL = "http://127.0.0.1:8008"
$env:AGCLAW_WEB_ROOT = ".."
npm run dev

Then open http://127.0.0.1:3000.

If you only want a fast mock-backed browser demo, skip the backend terminal and run:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm install
node .\scripts\start-playwright-stack.mjs 8108

That serves the UI at http://127.0.0.1:3100.

See The Integrated UI

1. Open http://127.0.0.1:3000 after the stack is up.
2. Go to Settings -> Integrations to toggle Pretext measurement and choose the active agent pack, memory namespace, commit mode, and workflow mode.
3. Open the buddy panel to see pack-aware prompt suggestions and active memory/workflow context.
4. Open Research tools -> Orchestrate to see the resolved orchestration route, active pack metadata, current investigation bundle, persisted bundles, and bundle export/share actions.
5. Use the chat surface to exercise the Pretext-backed composer sizing and virtualized message rendering.

Common Local Commands

Full local stack with routed vision and LiteLLM:

Set-Location (git rev-parse --show-toplevel)
.\scripts\start-agclaw-local.ps1 -EnableRoutedVision -StartLiteLLM

First-time full stack with model pulls and promptfoo multimodal gate:

Set-Location (git rev-parse --show-toplevel)
.\scripts\start-agclaw-local.ps1 -EnableRoutedVision -PullVisionModels -StartLiteLLM -RunVisionGate

Mock-backed browser demo:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
node .\scripts\start-playwright-stack.mjs 8108

Web verification:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm run type-check
npm run e2e

Backend verification:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
$env:PYTHONPATH = (Resolve-Path ./backend)
python -m unittest discover -s backend/tests

Promptfoo and UI audit helpers:

Set-Location (git rev-parse --show-toplevel)
bun run promptfoo:latest
bun run audit:web:common
bun run audit:web:chat-shell
bun run audit:web:buddy
bun run audit:web:settings
bun run audit:web:url:home

Run The Backend

PowerShell:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
$env:PYTHONPATH = (Resolve-Path ./backend)
python -m agclaw_backend.server --host 127.0.0.1 --port 8008

Health check:

Invoke-WebRequest http://127.0.0.1:8008/health | Select-Object -Expand Content

Key endpoints:

• GET /health
• GET /api/provider-health
• POST /api/chat
• POST /api/orchestrate
• GET /api/orchestration/history
• POST /api/mes/retrieve
• POST /api/mes/log-slim
• POST /api/mes/interpret-screen

Run The Web UI

PowerShell:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm install
$env:AGCLAW_BACKEND_URL = "http://127.0.0.1:8008"
$env:AGCLAW_WEB_ROOT = ".."
npm run dev

Open http://127.0.0.1:3000.

If you want a quick mock-backed stack for browser testing, the Playwright launcher will start the backend in mock mode automatically:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm install
node .\scripts\start-playwright-stack.mjs 8108

That serves the UI at http://127.0.0.1:3100.

Run End-To-End Tests

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm install
npm run e2e

The Playwright configuration builds the web app and launches the local mock backend automatically.

Run The MCP Explorer

The MCP explorer is for research against the reference src/ tree. It is not part of the clean-room runtime.

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "mcp-server")
npm install
npm run build
$env:AGCLAW_REFERENCE_SRC_ROOT = (Resolve-Path ../src)
node .\dist\src\index.js

The explorer also accepts legacy CLAUDE_CODE_SRC_ROOT for compatibility, but new setups should use AGCLAW_REFERENCE_SRC_ROOT.

Validation Commands

Backend:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
$env:PYTHONPATH = (Resolve-Path ./backend)
python -m unittest discover -s backend/tests

Web:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "web")
npm run build

MCP explorer:

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "mcp-server")
npm run build

Optional LiteLLM Gateway

If you want one control plane in front of multiple models, point the UI at LiteLLM through the existing openai-compatible provider.

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
.\scripts\start-litellm.ps1

Then in the AG-Claw settings UI:

• Provider: openai-compatible
• API URL: http://127.0.0.1:4000
• API key: agclaw-dev-key by default, or your LiteLLM bearer token if you changed it

That same gateway URL also works with the local benchmark script below.

The starter config lives at litellm/agclaw-config.local.yaml and exposes qwen2.5:3b, gemma3:1b, and qwen2.5vl:3b through one OpenAI-compatible endpoint.

For the routed multimodal local workflow, the same config also exposes:

• vision-caption-local -> qwen2.5vl:7b on 127.0.0.1:11500
• vision-hmi-local -> qwen2.5vl:7b on 127.0.0.1:11500
• vision-ocr-local -> gemma3:4b on 127.0.0.1:11500

The PowerShell launchers resolve litellm.exe from the repo .venv first, then fall back to PATH.

Useful local reference-tool commands from the repo root:

bun run promptfoo:latest
bun run audit:web-ui -- --help
bun run audit:web:common
bun run audit:web:chat-shell
bun run audit:web:buddy
bun run audit:web:settings

The first checks the currently published promptfoo version with npm view, which is the practical non-interactive equivalent of confirming what npx promptfoo@latest will pull on this machine. The Impeccable commands run targeted audits for the AG-Claw chat shell, buddy surfaces, and settings surfaces without adding anything to the runtime path.

If the web server is already running locally, you can also audit the live home page with:

bun run audit:web:url:home

That live URL audit uses a repo-owned Puppeteer wrapper around Impeccable's browser detector so it works on Windows paths; it expects a local Chrome or Edge install.

Reference-integration design spikes are checked in for future subsystem work:

• docs/agclaw-agency-agents-spike.md
• docs/agclaw-openviking-spike.md
• docs/agclaw-mirofish-spike.md

Governed Eval Assets

The promptfoo pack now includes an allowlisted Hugging Face ingestion path for evaluation assets.

$repoRoot = git rev-parse --show-toplevel
Set-Location (Join-Path $repoRoot "promptfoo")
npm install
npm run import:hf-assets -- --dataset rico-screen2words --limit 20

Imported samples are written under promptfoo/cases/hf/ and include governance metadata from the allowlist manifest.

If Hugging Face traffic is intercepted by a corporate proxy, set AGCLAW_HF_CA_FILE to the proxy PEM bundle before running the importer. Use AGCLAW_HF_ALLOW_INSECURE_TLS=1 only as a temporary fallback.

Build and run the multimodal promptfoo packs after importing both rico-screen2words and ocr-vqa samples:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
.\scripts\start-agclaw-local.ps1 -EnableRoutedVision -PullVisionModels -RunVisionGate

If you want the manual path instead, point caption and HMI to qwen2.5vl:7b on 127.0.0.1:11500, and OCR to gemma3:4b on the same port.

Local Benchmark Pass

To compare the small local assistant defaults from this slice:

$repoRoot = git rev-parse --show-toplevel
Set-Location $repoRoot
node .\scripts\benchmark-local-assistants.mjs --models qwen2.5:3b,gemma3:1b

Use --api-base http://127.0.0.1:4000/v1/chat/completions to run the same pass through LiteLLM instead of Ollama.

Related Docs

• backend/README.md for backend endpoint and benchmark details
• mcp-server/README.md for MCP explorer usage
• promptfoo/README.md for the eval harness and routed multimodal gate
• docs/agclaw-local-runbook.md for the consolidated local startup path
• docs/agclaw-pretext-spike.md for the scoped Pretext integration note
• docs/agclaw-vision-runbook.md for screen interpretation validation
• docs/agclaw-excluded-references.md for what is mapped versus intentionally excluded
• docs/agclaw-next-slice-status.md for the current merged-state snapshot
• docs/repo-status.md for current migration status

Operating Rule

No new AG-Claw operator-facing surface should introduce Claude-branded product naming. Upstream provider identifiers such as anthropic or model ids such as claude-sonnet-* remain acceptable only where they describe compatibility with external APIs.