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CIRWEL/README.md

CIRWEL stack — runtime governance for heterogeneous AI-agent fleets

CIRWEL

CIRWEL is an independent research and systems lab, founded by Kenny Wang, building runtime governance, continuity, and observability infrastructure for autonomous AI-agent fleets.

Agents fail gradually before they fail visibly — drifting, thrashing, growing overconfident on stale context. CIRWEL builds the state layer that lets agents notice and act on that drift before it becomes an incident.

agent acts  →  check-in  →  calibrated state + verdict  →  self-regulates  →  audit trail

The CIRWEL stack has run continuously since November 2025 as a single-operator deployment. That is a stress test, not a claim of external adoption.

For reviewers

  • What this is: runtime state telemetry for agent fleets after deployment — the layer between evals/guardrails and incident response.
  • What this is not: not an output filter, not a sandbox, not a universal ethics oracle, and not yet a claim of external adoption.
  • Initial wedge: teams running long-lived coding, research, or operations agents add one MCP/REST check-in per unit of work plus outcome events from tests, tools, and other hard signals.
  • Current ask: external pilots and design partners who already operate autonomous agents long enough for drift, calibration, and recovery to matter.

Read order:

  1. 3 minutes: unitares → run docker compose up + make demo.
  2. 10 minutes: add unitares-governance-plugin, unitares-host-adapter, and anima-mcp.
  3. 30 minutes: read unitares-paper-v6, reproduce §11.6 with unitares-repro-v6, and inspect eisv-lumen.

Stack

Runtime governance

UNITARES is the MCP + HTTP governance server. Agents check in; UNITARES tracks a live state vector per agent and returns a verdict — proceed, guide, pause, or reject — so agents self-regulate before circuit breakers fire.

Host integrations

Governance plugin, host adapter, and hermes-agent mount governance into Claude Code, Codex, and other agent hosts.

Peer review on disagree

When an agent's confidence and the system's assessment diverge, UNITARES runs a short dialectic with peer agents — or an LLM, when no peers are around — before anything halts. Training data: dialectic-dataset.

Research and observability

Paper v6 (concept DOI 10.5281/zenodo.19647159) on heterogeneous-fleet calibration · repro kit for the §11.6 verdict counterfactual · Discord bridge for live operator visibility.

Featured Repositories

UNITARES · Governance plugin · host adapter · Anima/Lumen · EISV-Lumen · Paper v6 · repro kit

HuggingFace · ORCID · CIRWEL Systems · founder@cirwel.org

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  1. unitares unitares Public

    Runtime state telemetry for long-lived AI agents — they check in, UNITARES grades drift and calibration against the agent's own baseline, returns a verdict each call. Live deployment since Nov 2025…

    Python 3

  2. anima-mcp anima-mcp Public

    Raspberry Pi running UNITARES — longitudinal testbed cited in the papers.

    Python 1

  3. unitares-governance-plugin unitares-governance-plugin Public

    Claude Code / Codex plugin that mounts agents into UNITARES governance — check-ins, dialectic, runtime verdicts.

    Python

  4. unitares-discord-bridge unitares-discord-bridge Public

    Discord bot surfacing UNITARES governance events, agent presence, and operator commands.

    Python

  5. unitares-paper-v6 unitares-paper-v6 Public

    UNITARES v6 paper: Information-Theoretic Governance of Heterogeneous Agent Fleets

    TeX