agentorch-core 1.0.0

Multi-Agent Orchestration Framework — 30 agents with cognitive architecture

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())