Skip to main content

Agent Conductor ⚡

PyPI Python License

Run Codex CLI, OpenCode CLI and Claude Code simultaneously on the same project — frontend and backend in parallel, zero file conflicts.

pip install agent-conductor
agent-conductor "build a weather app: React frontend, FastAPI backend"

One command splits your goal into two independent workstreams, gives each agent its own isolated git worktree, runs both CLIs headlessly at the same time, and merges the work back.

🖥️ Web UI

pip install fastapi uvicorn
uvicorn webui:app --port 8600

Open http://localhost:8600 — type a goal, pick your agents, hit Run, watch both agents work live in the terminal panel.

Web UI

Real run (claude + opencode, parallel)

Conductor report

Merged output passed a live endpoint test: GET /api/quote → {"author": "Lao Tzu", "quote": "The journey of a thousand miles..."}

Install

From PyPI (once published):

pip install agent-conductor
agent-conductor "build a todo app: React frontend, FastAPI backend"

From source:

git clone https://github.com/a18-n03/agent-conductor
cd agent-conductor
pip install -e .
cp .env.example .env        # add ZEN_API_KEY (planner) + OMNIROUTE_API_KEY (codex via gateway)

Examples

# default: Codex + OpenCode
agent-conductor "build a todo app: React frontend, FastAPI backend"

# Codex (via OmniRoute, free) + ox-alpha (free) - the proven combo
agent-conductor "build a joke app: static HTML frontend, FastAPI backend" \
  --agents "codex@omniroute/auto,opencode@opencode/x-preview-f-free"

# Claude + OpenCode
agent-conductor "landing page + contact API" \
  --agents "claude@auto/best-coding,opencode@opencode/x-preview-f-free"

# custom project dir + timeout
agent-conductor "build a scraper + dashboard" --dir C:\dev\myproject --timeout 20

How it works

you: python agent-conductor "build a todo app: React frontend, FastAPI backend"
                          |
              [1] LLM PLANNER (splits goal into 2 isolated workstreams)
                          |
        ┌─────────────────┴──────────────────┐
        ▼                                    ▼
  [2] git worktree                    [2] git worktree
      .conductor/codex-…                  .conductor/opencode-…
        ▼                                    ▼
  [3] codex exec …                    [3] opencode run …  (or claude -p …)
      frontend/ (parallel)                backend/ (parallel)
        ▼                                    ▼
        └────────────► [4] MERGE ◄───────────┘
                          |
                  [5] REPORT (commits, timings, conflicts)
  • Isolation: each agent works in its own git worktree + branch → it physically cannot touch the other agent's files
  • Contract: the planner writes a shared interface contract (API endpoints/types) into both prompts so the two halves fit together
  • Headless: uses codex exec -C <dir> -s workspace-write, opencode run --dir <dir> and claude -p with per-agent model overrides
  • Merge: branches merged back to main automatically; conflicts are aborted and reported

Requirements

  • Python 3.10+
  • At least TWO of these CLIs installed and authenticated:
  • An OpenAI-compatible API key for the planner (default: OpenCode Zen — free)
  • Optional: OmniRoute (npm i -g omniroute) — free gateway so any of the CLIs run on free models

Model setup (tested working)

Agent spec Routes to Needs
codex your ChatGPT plan via Codex codex login
codex@omniroute/auto OmniRoute gateway → free models omniroute serve + OMNIROUTE_API_KEY in .env
opencode OpenCode default model opencode auth
opencode@opencode/x-preview-f-free ox-alpha (free) nothing
opencode@opencode/glm-5 GLM-5 via OpenCode Zen OpenCode Zen billing
claude Claude Code default (Anthropic plan or ANTHROPIC_MODEL) claude login / env
claude@auto/best-coding OmniRoute → free Claude routing ANTHROPIC_BASE_URL + ANTHROPIC_AUTH_TOKEN env

For the OmniRoute path, add this block once to ~/.codex/config.toml:

[model_providers.omniroute]
name = "OmniRoute"
base_url = "http://localhost:20128/v1"
wire_api = "responses"
env_key = "OMNIROUTE_API_KEY"

Usage

pip install -r requirements.txt
cp .env.example .env        # add ZEN_API_KEY (planner) + OMNIROUTE_API_KEY (codex via gateway)

# ox-alpha frontend + ox-alpha backend (two free instances)
python conductor.py "build a joke app: static HTML frontend, FastAPI backend" \
  --agents "opencode@opencode/x-preview-f-free,opencode@opencode/x-preview-f-free"

# Codex (via OmniRoute) frontend + ox-alpha backend
python conductor.py "build a joke app: static HTML frontend, FastAPI backend" \
  --agents "codex@omniroute/auto,opencode@opencode/x-preview-f-free"

# default: your Codex plan + OpenCode default
python conductor.py "build a todo app"

What you get

  CONDUCTOR REPORT
  [OK ] codex      frontend             done (6.2 min)
  [OK ] opencode   backend              done (4.8 min)
  [OK ] merge      conductor/codex-frontend      merged
  [OK ] merge      conductor/opencode-backend    merged

Full agent transcripts land in logs/ — every tool call both agents made.

Architecture

Module Role
src/planner.py LLM splits goal into 2 file-disjoint workstreams with an interface contract
src/worktrees.py git worktree + branch lifecycle, base commit handling
src/runners.py Parallel headless runners (threads), live logs, per-agent timeouts
src/merger.py Branch merging with conflict abort + final report

Notes & limits

  • Two agents is the sweet spot; more agents = more merge risk
  • Agents can't see each other mid-run — that's a feature (isolation), the interface contract in their prompts is what keeps the halves compatible
  • Conflicts are intentionally aborted, never auto-resolved — you decide

Proven result

Real run on this machine (2026-08-25): Codex (via OmniRoute, free models) built the frontend in 4.0 min while OpenCode (ox-alpha, free) built the backend in 0.7 min — in parallel, zero conflicts. Merged app passed a live endpoint test:

{"joke": "What does a cloud wear under its raincoat? Thunderwear."}

Built by Anuj Mhatre · BTech CSE (AI & ML)

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agent_conductor-0.3.0.tar.gz (14.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agent_conductor-0.3.0-py3-none-any.whl (12.7 kB view details)

Uploaded Python 3

File details

Details for the file agent_conductor-0.3.0.tar.gz.

File metadata

  • Download URL: agent_conductor-0.3.0.tar.gz
  • Upload date:
  • Size: 14.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for agent_conductor-0.3.0.tar.gz
Algorithm Hash digest
SHA256 e39b5009a00588277a550cb31991073800b7f323ee7132613b55502b47d4a048
MD5 9e6d0d6b69212448d197397dba16489f
BLAKE2b-256 4c5d69bee4461e4e2891c7d5bc685fe2c9fc89fb0be940ef2caea93f3510e5c8

See more details on using hashes here.

File details

Details for the file agent_conductor-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for agent_conductor-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8121631ebb3f05680af585732abc0230af8b93361368b6e586d02282d96b4857
MD5 2dceaae676582254d34cda75175d0fbf
BLAKE2b-256 f604dca92b8a85e3b8fab6d13bea77067c5af94cc79ee901f41e97a9575cccde

See more details on using hashes here.

Release history Release notifications | RSS feed

0.3.2

2 files

This release

0.3.0 This release

2 files

0.2.0

2 files

0.1.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page