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@herjarsa/omo-meta-governor

v0.9.8

Published

Self-judging agent orchestration layer for OpenCode. Reads memory, scores sessions, dispatches decisions.

Readme

@herjarsa/omo-meta-governor

Self-judging agent orchestration layer for OpenCode. Observes tool executions, reads session state, scores progress, and dispatches decisions.

Install

npm install @herjarsa/omo-meta-governor

Usage

Add as a plugin in your OpenCode config:

{
  "plugins": ["@herjarsa/omo-meta-governor"]
}

Configure:

{
  "meta_governor": {
    "enabled": true
  }
}

How it works

After every tool call, MetaGovernor:

  • Reads session signals (deviations, iteration budget, progress)
  • Scores the session against weighted evidence
  • Dispatches: continue | warn | escalate | stop

See docs/guide/meta-governor.md for full docs.

Intervention (v0.3.0)

MetaGovernor can inject its decisions into the active agent's context so the agent is aware of governance warnings, escalations, or stop signals.

Modes

| Mode | Mechanism | Effect | |------|-----------|--------| | silent | (none) | Decision is logged only — no injection | | message | experimental.chat.messages.transform | Injects a synthetic user message visible to the LLM | | system | experimental.chat.system.transform | Appends guidance to the system prompt |

Configuration

{
  "meta_governor": {
    "enabled": true,
    "intervention": {
      "mode": "message",
      "includeDecisionHistory": true,
      "maxHistoryMessages": 5,
      "minActionForMessage": "warn"
    }
  }
}

| Field | Default | Description | |-------|---------|-------------| | mode | "silent" | How to inject: "silent", "message", or "system" | | includeDecisionHistory | true | Whether to include recent decision history | | maxHistoryMessages | 5 | Max history entries when includeDecisionHistory is true | | minActionForMessage | "warn" | Minimum action: "warn" (all non-continue), "escalate", or "stop" |

How it works

  1. After every tool call, MetaGovernor runs the orchestrator pipeline.
  2. If the decision is non-continue and meets minActionForMessage, it is stored in an in-memory decision store keyed by session ID.
  3. When the next LLM call starts, the appropriate transform hook fires:
    • message mode: a synthetic UserMessage with synthetic: true flag is prepended to the message list.
    • system mode: the decision message is appended to the system prompt.
  4. The decision is removed from the store after injection (one-shot).

License

MIT