Skip to main content

Multi-agent autonomous coding system powered by Flanes version control

Project description

Laneswarm

Multi-agent autonomous coding system powered by Flanes version control.

Install

pip install laneswarm

Quick Start

# Plan a project
laneswarm plan "Build a todo app with authentication"

# Execute the tasks
laneswarm run

# Check status
laneswarm status

Dashboard

Laneswarm includes a real-time web dashboard that streams agent activity as tasks execute.

# Run tasks with the dashboard
laneswarm run --dashboard

# Or launch the dashboard standalone (view current task graph)
laneswarm serve

# Dashboard + execution together
laneswarm serve --run

Opens at http://localhost:8420 by default. Use --port to change.

What you see:

  • Task grid — live cards for each task with status, current phase, and iteration count
  • Activity feed — streaming event log from all agents, color-coded and filterable
  • Orchestrator panel — worker utilization, dependency graph, overall progress
  • Task detail — click any task to see agent steps timeline, files written, verification results, and review feedback

The dashboard connects via WebSocket and auto-reconnects if the connection drops.

Configuration

Copy .laneswarm.toml.example to .laneswarm.toml and configure your LLM providers.

Project details


Download files

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

Source Distribution

laneswarm-0.1.4.tar.gz (63.2 kB view details)

Uploaded Source

Built Distribution

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

laneswarm-0.1.4-py3-none-any.whl (72.0 kB view details)

Uploaded Python 3

File details

Details for the file laneswarm-0.1.4.tar.gz.

File metadata

  • Download URL: laneswarm-0.1.4.tar.gz
  • Upload date:
  • Size: 63.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for laneswarm-0.1.4.tar.gz
Algorithm Hash digest
SHA256 6e5d44ced38c0dfe46345af96cf62f64c1661ebea4f5f5a724c8d10fd7a58763
MD5 e347b2b8e5c103a613bdf9c79353953e
BLAKE2b-256 f5856b0bb3a3836db716e4ea75930fe79f8977af82443b07658406d161ee3d36

See more details on using hashes here.

File details

Details for the file laneswarm-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: laneswarm-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 72.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for laneswarm-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 bec71af969f4471b66cc1c2d51f003b319d3f2d299ddace3df787c9ed71d64cd
MD5 3ecfb4b40bf9908172f1c533d75270ae
BLAKE2b-256 54f466d9e129256c997f07768db14e7b71c6f14410e5d0f99e4cd56d369ca156

See more details on using hashes here.

Supported by

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