Experiment task scheduling made easy.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

Claude Skill to do your tasks with subagents in Git worktrees

Durable MCP control plane for long-running Codex Desktop tasks

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

Share the same project justfile tasks with your AI Coding Agent.

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Hand off tasks to Devin — a plugin/skill for Claude Code, Codex, Cursor, and any coding agent

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

Public results and task definitions for FrontierHarness Eval

Multi-agent orchestration for Claude Code. Persistent memory, tasks, rules, and skills that make AI agents actually coordinate.

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.

The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)

Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

Lightweight Agent Workstation for Codex CLI + Claude Code — with task scheduler, git worktree & remote control

Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.

The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.