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..
A simple and fast minimalistic header-only library allowing to run async tasks and execute task graphs.
Resource-based, Declarative task-Graphs for Parallel, Event-driven Scheduling 🍇
Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]
An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.
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
A declarative, verifiable graph of task nodes for the Pi coding agent — not a workflow you script, but a DAG you declare: statically verified before it runs, with dynamic fan-out, gates, isolated subagent context, and resumable runs. Zero deps.
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.
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.
Manage AI agent task dependencies with a lightweight, local-first SQLite-based tool requiring no configuration.
A Device-Side Execution Model for Multi-GPU Task Graphs
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