Ordewell – turn one goal into an ordered plan of coding-agent tasks
Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks — each with its own runner, model and mode — then execute and verify the results. - ordewell/ordewell
Ordewell – turn one goal into an ordered plan of coding-agent tasks launched on September 15, 2026 with 56 votes, #649 of 8,094 launches that month and more than 95% of that year's launches.
In plain words
Ordewell is a multi-agent task orchestration platform designed for coding agents. It converts a single goal into an ordered sequence of tasks, with each task assigned its own runner, model, and execution mode. The system then executes these tasks and verifies the results. It is built for developers and teams who need to automate complex coding workflows through coordinated agent execution.
written from the facts on this page · September 2026
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20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

Agent OrchestratorAug 2026 · aoagents.dev · ▲56Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents. - Untrivial-ai/agent-orchestrator
Optio – Orchestrate AI coding agents in K8s to go from ticket to PRMar 2026 · github.com · ▲88I think like many of you, I've been jumping between many claude code/codex sessions at a time, managing multiple lines of work and worktrees in multiple repos. I wanted a way to easily manage multiple lines of work and reduce the amount of input I need to give, allowing the agents to remove me as a bottleneck from as much of the process as I can. So I built an orchestration tool for AI coding agents: Optio is an open-source orchestration system that turns tickets into merged pull requests using AI coding agents. You point it at your repos, and it handles the full lifecycle: - Intake —…
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I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…
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