A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
-
Updated
Aug 24, 2022 - Python
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
My Practices on LangGraph repo, is for practices and mini-projects in the langgraph library etc...updating soon
Knowledge graph orchestration for safe parallel AI coding agents.
🤖 Orchestrate Codex AI sub-agents and team workflows with shared boards, strict file control, and reusable prompts for parallel coding tasks.
Run background tasks with completion notifications, durable logs, and review tracking for people and coding agents. No LLM polling.
Successfully developed a cutting-edge, intelligent, and adaptive learning platform using LangGraph that personalizes lessons, exercises, and assessments in real-time, seamlessly integrating AI-driven insights to optimize mastery, engagement, and retention for learners of all levels.
Portable Codex sub-agent and team orchestration kit with guardrails, task boards, and reusable scripts for parallel AI workflows.
A two-file protocol for running multiple Claude Code instances on the same repo without conflicts.
To associate your repository with the parallel-workflows topic, visit your repo's landing page and select "manage topics."