goclaw

Source#

• Repository: nextlevelbuilder/goclaw
• Last source update: 2026-04-12
• Last verified: 2026-04-12

Tags#

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: goclaw-repo-derived-worker
name: goclaw Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/goclaw/
source_repository: https://github.com/nextlevelbuilder/goclaw
repository_default_branch: dev
repository_language: Go
repository_license: NOASSERTION
repository_updated_at: 2026-04-12
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-04-12
tags:
  - agent-orchestration
  - ai-agent
  - ai-gateway
  - anthropic
  - chatbot
  - discord-bot
---

# goclaw Repo-Derived Worker

## Repo-derived summary
- Registry summary: GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
- Repository description: GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
- Stars (snapshot): 2,556
- Primary language: Go
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/nextlevelbuilder/goclaw
- https://github.com/nextlevelbuilder/goclaw/blob/dev/README.md
- https://docs.goclaw.sh/#deploy-docker-compose
- https://docs.goclaw.sh/#teams-what-are-teams
- https://docs.goclaw.sh/#custom-tools

## Evidence notes (from repository text)
- README summary paragraph: Multi-agent AI gateway built in Go. 20+ LLM providers. 7 channels. Multi-tenant PostgreSQL. Single binary. Production-tested. Agents that orchestrate for you.
- Multi-agent AI gateway built in Go. 20+ LLM providers. 7 channels. Multi-tenant PostgreSQL.
- Single binary. Production-tested. Agents that orchestrate for you.
- - **8-Stage Agent Pipeline** — context → history → prompt → think → act → observe → memory → summarize. Pluggable stages, always-on execution
- - **3-Tier Memory** — Working (conversation) → Episodic (session summaries) → Semantic (knowledge graph). Progressive loading L0/L1/L2
- - **Agent Teams & Orchestration** — Shared task boards, inter-agent delegation (sync/async), 3 orchestration modes (auto/explicit/manual)

## Installation hints found in README
- No explicit package installation command detected in README text.

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: goclaw-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/goclaw/

Source URL: https://github.com/nextlevelbuilder/goclaw