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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Ordewell
    Ordewell icon

    Ordewell

    Multi-agent Systems
    Featured

    Multi-agent task orchestration that turns one goal into a dependency graph of coding-agent tasks, each with its own runner, model, and mode, then executes and verifies them in parallel.

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    At a Glance

    Pricing
    Open Source

    Fully free and open source under Apache-2.0. Install via npm or VS Code Marketplace.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Multi-agent SystemsAgent FrameworksAI Coding Assistants

    Alternatives

    FusionGolutraAgent Teams AI
    Developer
    OrdewellEst. 2026

    Listed Sep 2026

    About Ordewell

    Ordewell is an open-source, Apache-2.0-licensed multi-agent orchestration tool that converts a single plain-prose goal into an ordered, editable dependency graph of coding-agent tasks. It supports Claude Code, Codex, and OpenCode as built-in runners, and is available as a CLI, terminal UI (TUI), and VS Code extension — all backed by the same local API server.

    What It Is

    Ordewell sits between you and your coding agents: a planner reads your repository read-only, asks clarifying questions when your goal is vague, and produces a typed plan artifact — a dependency graph of tasks, each carrying its own runner, model, thinking effort, and execution mode. You rewrite the plan before anything runs, then Ordewell executes independent tasks in parallel (up to five concurrent sessions) and verifies each one by checking for a unique completion marker in the runner's output, never by asking the model if it's done.

    How the Plan-First Workflow Works

    The core loop has three stages:

    • Plan — The planner researches the workspace read-only, refuses any write commands, and asks at least one clarifying question before committing a plan. Its final message is the plan.
    • Execute — Each AI task spawns a real coding-agent session in a fresh context, handed its predecessors' results. Independent tasks run side by side; the dependency graph enforces order.
    • Verify — A task passes only when its unique completion marker appears in the runner's output. Exit code is retained as diagnostic evidence. The model never grades its own work.

    Skills like grill-me, prd, tdd, review, and verify are prompt blocks injected before planning — not files read from the agent — and are toggled per session.

    Surfaces and Architecture

    Ordewell ships four front ends over one core TypeScript package:

    • Terminal UI (TUI) — Full-screen split view: planner conversation on the left, live plan on the right. Single-key bindings drive the whole loop; each task's live terminal is tmux-backed.
    • VS Code Extension — A docked panel that streams live thinking, research steps, and task cards. Retargeting a task's runner re-derives its model, effort, and mode in place from that runner's real catalog.
    • CLI — Every slash command has an identical ordewell subcommand, enforced by a parity test, so headless pipelines reach everything a human can.
    • HTTP + WebSocket API — ordewell web starts a local server on port 3742; the CLI, TUI, and extension are all clients of it.

    The architecture is split into core/ (pure TypeScript, zero UI deps), cli/, vscode/, and web/ packages. Design decisions are documented as architecture decision records in docs/adr/.

    Runner and Model Flexibility

    Claude Code, Codex, and OpenCode ship built-in. Any other CLI agent — Aider, a custom tool — is added via a JSON plugin manifest with {{variable}} templating, requiring no code change or pull request. When multiple runners are enabled, the planner assigns one per task across the whole plan and shows every assignment before execution starts. The model picker is scoped to the selected runner's real catalog, so an invalid model ID cannot be saved. Thinking effort is configurable per task and is constrained to the levels that model actually supports.

    No separate API key is required up front: Claude Code, Codex, or OpenCode can act as the planner in read-only mode, running on the subscription already held for the runners. Twenty-five API providers are also recognized via their own environment variables (OpenRouter, Anthropic, OpenAI, Gemini, xAI, Groq, DeepSeek, Mistral, and more), plus any OpenAI-compatible endpoint including local model servers.

    Update: v0.4.19

    The latest release is v0.4.19, published on 2026-09-10, with the repository last pushed on 2026-09-18. The project was created in July 2026 and has been actively developed since, accumulating 131 GitHub stars and 7 forks. Platform support covers macOS, Linux, and Windows (TUI requires tmux; on Windows, the TUI runs under WSL while the CLI, extension, and API server run natively).

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    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open source under Apache-2.0. Install via npm or VS Code Marketplace.

    • CLI, TUI, VS Code extension, and local API server
    • Claude Code, Codex, and OpenCode built-in runners
    • Parallel task execution with dependency graph
    • Per-task model, runner, effort, and mode assignment
    • Plugin manifest system for custom runners

    Capabilities

    Key Features

    • Dependency graph of coding-agent tasks from a single goal
    • Parallel task execution respecting dependency order
    • Per-task runner, model, thinking effort, and mode assignment
    • Editable plan artifact before any execution begins
    • Completion marker verification — no model self-grading
    • Read-only planner that refuses write commands
    • VS Code extension with streaming planner timeline
    • Terminal UI with tmux-backed live task terminals
    • CLI with full parity to all slash commands
    • HTTP + WebSocket local API server
    • Skills: grill-me, prd, tdd, review, verify, research-subagents
    • Plugin manifest system for custom CLI runners
    • Human-in-the-loop (HITL) checkpoint support
    • Session auto-save and restore
    • 25 API provider integrations plus OpenAI-compatible endpoints
    • No API key required when using Claude Code, Codex, or OpenCode as planner
    • Multi-runner plans with per-task runner assignment
    • Headless/pipeline mode via environment variables

    Integrations

    Claude Code
    Codex
    OpenCode
    Aider
    OpenRouter
    Anthropic
    OpenAI
    Gemini
    xAI
    Groq
    DeepSeek
    Mistral
    Together
    Fireworks
    Perplexity
    Cerebras
    DeepInfra
    Cohere
    Novita
    tmux
    VS Code Marketplace
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Ordewell Team

    Ordewell builds open-source multi-agent orchestration tooling for software developers. The project converts plain-prose goals into editable dependency graphs of coding-agent tasks, executing them in parallel across Claude Code, Codex, OpenCode, and custom CLI runners. It ships as a CLI, terminal UI, VS Code extension, and local API server — all backed by a single pure-TypeScript core. The codebase is Apache-2.0 licensed and hosted on GitHub.

    Founded 2026
    Read more about Ordewell Team
    WebsiteGitHub
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