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Multi-agent orchestrator with eval-gated quality gates. Spawn parallel agent workers per track, verify output before merging.

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    Readme

    conductor

    conductor

    Multi-agent orchestrator with eval-gated quality gates. Spawn parallel agent workers per track, verify output before merging.

    MIT Node 18+ v0.7.0


    Local multi-agent tools like Octogent are compelling — parallel workers, visible progress, git isolation. But they share the same fatal flaw: workers run until they say they're done, with no way to know if the output is actually correct. Sessions die when you close the terminal. There's no retry, no quality gate, no remote control.

    conductor is what that category of tool looks like when built for real work. It uses evalgate as its quality gate layer — workers can't merge until their verifier passes.


    How it works

    You organize your project into tracks — scoped areas of ownership, each with a CONTEXT.md (what this area owns) and a todo.md (eval-gated tasks).

    .conductor/
      config.json
      tracks/
        auth/
          CONTEXT.md      ← what this track owns + constraints
          todo.md         ← eval-gated tasks for this area
        payments/
          CONTEXT.md
          todo.md

    Each task in todo.md follows the evalgate contract format:

    - [ ] Add JWT validation middleware
      - eval: `npm test -- --testPathPattern=auth`
      - retries: 2
    
    - [ ] Write integration tests for /login
      - eval: `npm run test:integration`

    When you run conductor run auth, it spawns one agent worker per pending task — each in its own git worktree. A worker's changes only merge back to main when the eval: verifier exits 0.


    Install

    npm install -g conductor-agents

    Or run directly:

    npx conductor-agents help

    Quick start

    # 1. Initialize in your repo
    cd your-project
    git init  # must be a git repo
    conductor init
    
    # Option A — generate a plan from a goal (v0.5+)
    conductor plan "add JWT authentication with middleware and login endpoint"
    # Review .conductor/plan-draft.md, then:
    conductor plan apply
    
    # Option B — add tracks manually
    conductor add auth --desc="Authentication layer" --files="src/auth/**"
    # Edit .conductor/tracks/auth/todo.md with your tasks
    
    # 2. Run
    conductor run auth         # single track
    conductor run --all        # all tracks in parallel
    
    # 3. Check results
    conductor status auth

    CLI reference

    Command Description
    conductor init [--yes] Create .conductor/--yes skips the first-run wizard
    conductor add <name> [opts] Add a new track
    conductor rm <name> Remove a track
    conductor list List all tracks with color-coded progress bars
    conductor run <name> [opts] Run a track's worker swarm
    conductor run --all Run all tracks sequentially
    conductor retry <worker-id> <track> Retry a failed worker
    conductor logs <worker-id> <track> Print a worker's session log
    conductor status [name] Show worker states with duration and eval result
    conductor plan "<goal>" Generate tracks + tasks from a natural-language goal
    conductor plan apply [--dry-run] Apply the generated plan draft to create tracks
    conductor plan show Print the current plan draft
    conductor report [track] Show cost report — tokens + estimated USD per track
    conductor telegram setup Configure Telegram bot token + chat ID
    conductor telegram [start] Start Telegram bot (foreground)
    conductor ui [--port=8080] Start web dashboard
    conductor help Show usage

    conductor add options

    --desc="description"                    Track description
    --files="src/auth/**,src/users/**"      Owned file globs (comma-separated)

    conductor run options

    --concurrency=N        Worker concurrency (default: 3)
    --agent=cmd            Agent command (default: claude)
    --resume               Resume from existing state, skip done workers

    conductor logs options

    --follow, -f           Tail the log live (polls every 500ms until Ctrl+C)

    Worker IDs can be abbreviated — any unique prefix works:

    conductor logs eb2eadd4 auth
    conductor logs eb2eadd4 auth --follow

    Task format

    Tasks live in .conductor/tracks/<name>/todo.md and follow the evalgate contract format:

    - [ ] Task title
      - eval: `shell verifier command`
      - retries: 2

    The verifier command runs inside the worker's git worktree after the agent finishes. Exit 0 = merge. Anything else = fail (and retry if retries remain).

    Composite verifiers are supported:

    - [ ] Build, lint, and test all pass
      - eval.all: `npm run build` | `npm run lint` | `npm test`
    
    - [ ] README is clear
      - eval.llm: Does README.md explain the auth flow in plain English?

    AI planning (conductor plan)

    conductor plan uses an LLM agent to turn a natural-language goal into a ready-to-run multi-track plan. The agent explores your codebase, designs track ownership, and writes eval:-gated tasks for each track.

    # Generate a plan (agent explores your codebase, writes .conductor/plan-draft.md)
    conductor plan "add JWT auth with middleware, login endpoint, and rate limiting"
    
    # Preview what would be created without applying
    conductor plan apply --dry-run
    
    # Apply — creates tracks with CONTEXT.md and todo.md
    conductor plan apply
    
    # Run everything
    conductor run --all

    The generated todo.md files are ready for conductor run — each task has a verifier that evalgate will run after the agent completes its work.


    Web dashboard

    conductor ui
    # → http://localhost:8080

    The dashboard shows all tracks in a sidebar with progress bars, and workers in the main panel with status badges (pending / running / verifying / done / failed). Failed workers have a Retry button. All updates stream live via SSE — no page refresh needed.


    Relationship to evalgate

    conductor uses evalgate as a library for its worker execution engine. evalgate handles:

    • Spawning agents in git worktrees
    • Running verifiers after each worker completes
    • Persisting swarm state to .evalgate/swarm-state.json
    • Emitting events that conductor's SSE server re-broadcasts to the dashboard

    You don't need to install or run evalgate separately. It's a bundled dependency.

    If you want evalgate's standalone features (pre-commit hooks, MCP server, trigger daemon, ANSI dashboard), install it separately — the two tools are independent and coexist fine in the same repo.


    Track CONTEXT.md

    Each track gets a CONTEXT.md that describes what the track owns. The conductor prompt builder injects this into each worker agent's system prompt, giving workers scoped context without polluting each other.

    # auth
    
    Authentication and session management layer.
    
    ## Owned files
    - `src/auth/**`
    - `src/middleware/auth.ts`
    
    ## Constraints
    - Never store plaintext credentials
    - All tokens must be signed with the app secret
    - Session expiry must be <= 24h

    Edit this file freely. The next conductor run will pick it up.


    Roadmap

    Version Feature Status
    v0.1.0 Core track model, CLI, eval-gated workers, SSE dashboard Shipped
    v0.1.1 Fix: initial UI state loading, progress bar derived from workers Shipped
    v0.2 Interactive init wizard, live log streaming in UI, color CLI output, conductor logs command Shipped
    v0.3 Rename: tentacle → track (breaking change, filesystem path updated) Shipped
    v0.4 Telegram bot gateway — run/retry/status from phone Shipped
    v0.5 conductor plan "<goal>" — LLM generates tracks + tasks automatically Shipped
    v0.6 Per-track cost tracking, conductor report, /api/tracks/:id/cost, SSE cost events Shipped
    v0.7 UI v2 — 4-tab layout: Tracks deck (kanban with eval badges), Workers, History, Settings Shipped
    v0.8 MCP server — conductor mcp over stdio; tools: list/run/retry/status/cost from any Claude conversation Planned
    v0.9 Scheduling + webhooks — conductor schedule add <track> "<cron>", conductor webhook start Planned
    v1.0 Stable API, full docs, Docker image, conductor doctor Planned

    Contributing

    git clone https://github.com/jorgejac1/conductor-agents
    cd conductor
    npm install
    npm run build
    npm test

    PRs welcome. Run npm run lint:fix before committing.


    License

    MIT