AI-company
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React da...
Source#
- Repository: CronusL-1141/AI-company
- Last source update: 2026-05-08
- Last verified: 2026-05-10
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: ai-company-repo-derived-worker
name: AI-company Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/ai-company/
source_repository: https://github.com/CronusL-1141/AI-company
repository_default_branch: master
repository_language: Python
repository_license: MIT
repository_updated_at: 2026-05-08
worker_mode: tool-gateway-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-05-10
tags:
- agent-framework
- agent-orchestration
- ai-agents
- autonomous-agents
- claude
- claude-code
---
# AI-company Repo-Derived Worker
## Repo-derived summary
- Registry summary: Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React da...
- Repository description: Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
- Stars (snapshot): 169
- Primary language: Python
- Worker mode classification: tool-gateway-worker
## Extracted from
- https://github.com/CronusL-1141/AI-company
- https://github.com/CronusL-1141/AI-company/blob/master/README.md
- https://img.shields.io/github/stars/CronusL-1141/AI-company?style=flat
- https://docs.astral.sh/uv/getting-started/installation/
- https://github.com/CronusL-1141/AI-company/issues
## Evidence notes (from repository text)
- README summary paragraph: ### Your AI coding tool stops when you stop prompting. Ours doesn't.
- ### Your AI coding tool stops when you stop prompting. Ours doesn't.
- Every AI coding assistant works the same way: you prompt, it responds, it stops. The moment you step away, work stops. You come back to a blank prompt.
- - R&D agents scanned three competitor frameworks and found a technique worth adopting
- - A brainstorming meeting was organized, 5 agents debated 4 proposals, and the best one was put on the task wall
- Every failure makes the system smarter. "Failure Alchemy" extracts defensive rules, generates training cases for future Agents, and submits improvement proposals — the system develops antibodies against its own mistakes.
## Installation hints found in README
- `pip install uv`)`
- `pip install uv`
- `pip install ai-team-os`
- `pip install ai-team-os`)`
## worker.md contract (derived starter)
Purpose: Expose repository-supported tool/server capabilities behind a bounded worker interface.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"request_id",
"operation",
"payload"
],
"properties": {
"request_id": {
"type": "string"
},
"operation": {
"type": "string"
},
"payload": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"request_id",
"status",
"result"
],
"properties": {
"request_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: request_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:
ai-company-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/ai-company/
Source URL: https://github.com/CronusL-1141/AI-company