JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
- Updated
Dec 23, 2025 - JavaScript
JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
Low-code task engine built with Rust and Svelte
Lightweight parallel Java tasks
A type-safe, modern, Gradle-inspired task runner.
A Model Context Protocol server that provides task orchestration capabilities for AI assistants
Hyrex is the task framework that makes durable tasks simple. Just wrap your functions and schedule them. The only requirement is Postgres!
Production-validated SAFe multi-agent development methodology with Claude Code. Treat AI agents as specialized team members (11 roles: BSA, Architect, QAS, etc). Complete whitepaper + working template.
A lightly distributed flow framework
A modern Python task runner built for the uv era.
AI Delegation Grid: scalable multi-agent orchestration for Copilot and LLMs inside VS Code. Parallel tasks, adapters, automation.
Asynchronous execution made simple
Laravel package for agent-based task orchestration with invokable agents, pipelines, and event-driven workflows
Type-safe DAG task orchestration library for Go with automatic concurrency and dependency resolution
Go task group / task graph. Good for CLI task orchestration. Replaces Make and Mage.
Modular AI automation framework using LangChain, NestJS & Playwright. A self-hosted alternative to OpenAI Operator.
A high-performance distributed task orchestrator in Go with Redis Streams. Supports dynamic scaling, fault tolerance, real-time monitoring, and pluggable backends; ideal for microservices, ETL, and AI workflows.
dataset forwarding automation
A context-aware, emotionally adaptive AI framework with memory, entity routing, and narrative continuity built as a personal AI companion system.
Coder (Coder Crew) — A Python-based multi-agent AI template built on CrewAI, empowering developers to orchestrate collaborative AI agents for complex tasks via YAML configuration and a seamless crewai run workflow.
Autonomous Rails-based system for planning and executing software development tasks with AI integration via Model Context Protocol.
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