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
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())
1 maintainer
Metadata
1 maintainer
Release files for agentorch-core 1.0.1
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