Metadata-Version: 2.4
Name: agentorch-core
Version: 1.0.0
Summary: Multi-Agent Orchestration Framework — 30 agents with cognitive architecture
Author: agentorch-core
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: openai>=1.0
Requires-Dist: httpx
Requires-Dist: aiofiles
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# agent_orch

Multi-Agent Orchestration Framework

30 autonomous agents with:
- Cognitive Architecture (metacognition, memory, self-reflection)
- Treasury Economy (internal bounties, job board, replication)
- Batch Scheduler (priority queue, circuit breaker, concurrency control)
- Evolution Engine (auto-dreaming for low-confidence agents)
- Self-Heal (ledger integrity checks)

## Agents

| # | Agent | Role |
|---|-------|------|
| 01 | strategist | Strategic planning & analysis |
| 02 | analyst | Data analysis & insights |
| 03 | innovator | Creative innovation |
| 04 | critic | Critical assessment |
| 05 | executor | Task execution |
| 06 | philosopher | Deep thinking & ethics |
| 07 | scientist | Scientific method |
| 08 | artist | Aesthetic design |
| 09 | coach | Guidance & mentoring |
| 10 | observer | System observation |
| ... | ... (30 total) | ... |

## Quick Start

```python
from agent_orch import discover_all, get_cognitive_architecture
import asyncio

async def main():
    agents = discover_all()
    print(f"Found {len(agents)} agents")
    ca = get_cognitive_architecture("strategist")
    result = await ca.full_cognitive_cycle("Analyze current trends")
    print(result["response"][:200])

asyncio.run(main())
```
