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1.0.1

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agentorch-core

AgentOrch - Autonomous Multi-Agent AI System: 30+ agents with cognitive architecture

Published17 Jun 2026

Direct dependencies3

Transitive dependenciesNot calculated

README

Version 1.0.1 documentation

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())

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Declared dependencies 3

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Package / target Requirement Relationship

Package / target	Requirement	Relationship
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cryptography Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`cryptography`	runtime

httpx

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httpx

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aiofiles

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agentorch_core-1.0.1-py3-none-any.whl

bdist_wheel · 178.92 KB · Python py3

Source file

agentorch_core-1.0.1.tar.gz

sdist · 137.66 KB · Python source

Source file

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package_version:2e629d0482e8c0da3534abca8302bd77f66db95a70f1811498ebb06b0352c4ae

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