Agent Orchestration Python Packages

bernstein

Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.

agentirc-cli

Local chat for agents based on IRC

culture

The professional workspace for agents.

agentbreeder-sdk

Define Once. Deploy Anywhere. Govern Automatically. Framework-agnostic platform to build, deploy & govern enterprise AI agents — LangGraph · CrewAI · Claude SDK · OpenAI Agents · Google ADK · AWS · GCP · Azure · K8s · RBAC · A2A · MCP

ainativelang

AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)

haxaml

Git-style project memory and governance for AI coding agents

agentbreeder

Define Once. Deploy Anywhere. Govern Automatically. Framework-agnostic platform to build, deploy & govern enterprise AI agents — LangGraph · CrewAI · Claude SDK · OpenAI Agents · Google ADK · AWS · GCP · Azure · K8s · RBAC · A2A · MCP

haxaml-mcp

Git-style project memory and governance for AI coding agents

aqm

An orchestration framework for AI agents to pass tasks through explicit queues. Build pipelines in YAML, run locally with SQLite, and power them with Multi-LLM.

ryeos-core

A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows — living inside your projects, running through a recursive MCP that goes as deep as you dare.

jaf-py

Functional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building scalable AI systems.

ryeos

A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows — living inside your projects, running through a recursive MCP that goes as deep as you dare.

rally-agents

Filesystem-first agent harness for strong, stable coding-agent workflows with repo-local run state.

worldlines

Agents for Role Play. Agents for Game. Agents as a Game. An orchestrator-agents engine for living worlds — file-backed, event-sourced.

ryeos-engine

A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows — living inside your projects, running through a recursive MCP that goes as deep as you dare.

pluggable-agent-framework

A framework for multi-agent & teams definition and orchestration.

argus-debate-ai

Debate-native multi-agent AI framework that eliminates LLM hallucination, overconfidence, and opacity. Structures knowledge evaluation as adversarial multi-round debates over a Conceptual Debate Graph (C-DAG) with Bayesian aggregation, CRUX protocol, 8 novel Evolution extensions, 27+ LLM providers, 50+ tools, and W3C-compliant provenance tracking.

tramontane

🌬️ Mistral-native agent orchestration. Smart routing across the full model fleet. GDPR-native. Built in France.

parallel-orchestra

複数の Claude Code ヘッドレスエージェントを並列実行し、結果を一つのブランチに自動マージする CLI ツール。

nodetracer

The node-level tracing library for agentic software.

agentweld

Turn any MCP server into a curated, composable, A2A-ready agent.

lillux

Lillux microkernel — Execute, Memory, Identity, Time

routilux

Routines-based, event-driven workflow orchestration for Python—compose complex data/AI pipelines and run concurrent workflows across distributed systems with durable state and robust error handling.

quarterback

Strategic task prioritization and agent orchestration for multi-project operators