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Alpha-Park/genpark-stateful-agent-dag-node-executor-skill

GenPark AI Agent Skill - Stateful directed acyclic graph (DAG) execution engine for AI agents with conditional edge transitions, shared state reduction, and loop guardrails.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-09
agent-daggenpark-agentgraph-orchestratorlanggraphmcp-serverstateful-agentsworkflow-engine
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About genpark-stateful-agent-dag-node-executor-skill

genpark-stateful-agent-dag-node-executor-skill

An enterprise-grade, stateful Directed Acyclic Graph (DAG) execution engine for AI agents with conditional edge transitions, shared state reduction, and loop guardrails.

Built and maintained by GenPark AI (https://genpark.ai). Discover more agent capabilities on the GenPark Model Context Protocol Registry (https://genpark.ai/mcp).

Features - Deterministic State Reducer: Pure function nodes update shared state dictionary reliably. - Conditional Dynamic Routing: Router functions dynamically evaluate runtime state to choose next node. - Zero Dependencies: Pure Python 3.9+ standard library.

From the project README.

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