A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines

User-friendly Scheduler for sub-node tasks for HPC systems

C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.

The issue tracker your AI agents are missing. Think Linear or Jira, but for your Claude Code..

Unified TypeScript runtime for Codex CLI, Claude Code, and OpenCode with typed events, lifecycle control, permissions, and task graphs.

A simple and fast minimalistic header-only library allowing to run async tasks and execute task graphs.

Planr turns product intent into a durable task graph that Codex, Claude Code, Cursor, MCP clients, and humans can share without losing ownership or evidence.

Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.

Resource-based, Declarative task-Graphs for Parallel, Event-driven Scheduling 🍇

AI Workload Control Layer for routing deterministic, reusable, retrieval-needed, tool-needed, and provider-needed work before model invocation.

Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]

HEFT and CPOP task scheduling algorithms

Local-first task graph for AI agents and humans

Plan-V4D: A task graph engine with support for video/graphics in conjuction with computer vision (using OpenCV). It features 2D vector graphics using NanoVG, bgfx for 3D and a GUI based on ImGui. It (on supported systems) provides OpenCL/OpenGL and OpenCL/VAAPI interoperability and uses hardware acceleration whenever possible

C++17 DAG scheduler for heterogeneous CPU/GPU workloads - production-ready with CPU-only validation path

Inspector Graphetto - Gradle task execution graph inspection and visualization plugin.

Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.

Build full-stack applications with an autonomous IDE using an agent swarm architecture powered by the Kimi 2.6 model.

genetic algorithm on task scheduling problem

GoalWeaver is a compact, production-grade toolkit for agentic AI. It turns high-level objectives into a DAG of goals, schedules them adaptively, routes each goal to the right agent, and persists progress so you can visualize the run in real time.