Skip to main content

A multi-agent orchestration system for managing AI coding agents (Claude and Gemini) in parallel git worktrees with a real-time web dashboard.

Project description

image

The Pitch

Coral brings sanity to coding with AI agents without disrupting your workflow. The goal is to augment, not take over. Activity across all your agents is visible so you can see which ones need attention at a glance.

Stop losing track of what your AI coding agents are doing. As you scale your workflow, the chaos of scattered terminals, lost context, and untracked changes slows you down. Coral is the mission control center you need to effortlessly orchestrate your entire AI workforce. Maintain total visibility over every agent's progress, organize your history, and automate routine tasks so you can focus on building. Stop fighting your tools and start multiplying your productivity—with all your data completely secure and private on your own machine.

Coral is an MIT-licensed multi-agent orchestration application built with tmux, FastAPI, and vanilla HTML5/JS for easy extensibility and modification. We welcome feedback and contributions.

Read the full documentation →

main_loop

Features

  • Multi-agent support — Launch and manage both Claude and Gemini agents side-by-side across worktrees
  • Web dashboard — Real-time monitoring with pane capture, status tracking, and command input
  • Session history — Browse past sessions with advanced filters (date range, agent type, tags, full-text search)
  • Full-text search — Search across all session content using SQLite FTS5 with porter stemming
  • Auto-summarization — Sessions are automatically summarized and indexed for search
  • Scheduled jobs — Create cron-scheduled tasks that launch agents in isolated worktrees, send prompts, and clean up automatically
  • Webhook notifications — Get notified via webhook when agents need input or complete work
  • Session notes & activity — Add markdown notes and track activity that occurred in each session, live and historically
  • Remote control — Send commands, navigate modes, and manage agents from the dashboard
  • Attach/Kill/Restart/Resume — Open a terminal attached to any agent's tmux session, kill it, or relaunch as a new session
  • Git integration & PR linking — Tracks commits, branches, and remote URLs per agent and session
  • Custom macros — Add configurable toolbar buttons for frequently used commands

Installation

Install from PyPI:

pip install agent-coral

Or install directly from GitHub:

pip install git+https://github.com/cdknorow/coral.git

macOS Menu Bar App

On macOS, you can run Coral as a menu bar app that stays out of your way:

# Install with tray support
pip install agent-coral[tray]

# Launch — starts in background, terminal is freed immediately
coral-tray

# Stop the tray app
coral-tray --stop

A coral icon appears in your menu bar. Click it to open the dashboard in your browser or quit the server. No terminal window needed.

Alternatively, download Coral.dmg from the Releases page, drag Coral.app to Applications, and double-click to launch.

Launch agents and web dashboard

You can launch the web server directly using coral or coral-dashboard:

# Start the web dashboard directly (default: http://localhost:8420)
coral

# Custom host/port
coral --host 127.0.0.1 --port 9000

Note: This system is currently mostly tested with Claude Code and to some extent Gemini CLI. However, the underlying architecture is extensible to any cli based agents.

Session history search and filtering

history

The sidebar History section includes a search bar and filters for browsing your entire AI coding session history along with activity, notes, and git commit tracking

On startup, the server launches three background services:

  1. Session indexer (every 2 min) — Indexes all Claude sessions from ~/.claude/projects/**/*.jsonl and Gemini sessions from ~/.gemini/tmp/*/chats/session-*.json, builds a full-text search index (FTS5), and queues new sessions for auto-summarization
  2. Batch summarizer — Continuously processes the summarization queue using Claude CLI
  3. Git poller (every 2 min) — Polls git branch, commit, and remote URL for each live agent and stores snapshots in SQLite

Features:

  • Search — Type in the search bar to find sessions by content (uses SQLite FTS5 with porter stemming)
  • Filter by tag — Select a tag from the dropdown to narrow results
  • Filter by source — Show only Claude or Gemini sessions
  • Filter by date — Narrow results to a specific date range
  • Pagination — Browse through all sessions with prev/next controls
  • URL bookmarking — Session URLs use hash routing (#session/<id>) so you can bookmark or share links
  • Notes & tags — Add markdown notes and color-coded tags to any session, stored in ~/.coral/sessions.db

Managing sessions from the dashboard

image

The web dashboard provides quick-action buttons for each live session:

Action Description
Esc / Arrow / Enter Send navigation keys to the agent
Plan Mode Toggle Claude Code plan mode
Accept Edits Toggle Claude Code auto-accept mode
Bash Mode Send ! command to enter bash mode
Base Mode Toggle base mode
/compact / /clear Send compress or clear commands (adapts per agent type)
Reset Compress then clear the session
Attach Open a local terminal window attached to the agent's tmux session
Restart Restart the agent in the same tmux pane
Kill Terminate the tmux session and remove it from the dashboard

You can also type arbitrary commands in the input bar and send them to the selected agent.

Scheduled Jobs

Coral supports cron-scheduled jobs that automatically launch agents in isolated git worktrees. Create and manage them from the Scheduled section in the sidebar.

Each scheduled job:

  • Creates a fresh git worktree from the specified branch
  • Launches an agent (Claude or Gemini) with optional CLI flags
  • Sends the configured prompt to the agent
  • Monitors the session with a configurable timeout
  • Cleans up the worktree on completion (optional)
  • Tags the session as "scheduled" for easy filtering in history

Run history is tracked per job with links to view each session's full history.

Webhook Notifications

Configure webhooks from the dashboard settings to receive HTTP notifications when agents need input or when other events occur. Useful for integrating with Slack, Discord, or custom monitoring.

Claude Code Hooks (settings.json)

To fully integrate Claude Code's agentic state and task management into the Coral dashboard, configure the provided coral-hook scripts in your Claude Code settings.json (usually located at ~/.claude.json or ~/.claude/settings.json).

If you are already using other configuration options like a custom statusLine or other hooks, simply merge these hook definitions into your existing JSON:

"hooks": {
    "PostToolUse": [
      {
        "matcher": "TaskCreate|TaskUpdate",
        "hooks": [
          {
            "type": "command",
            "command": "coral-hook-task-sync"
          }
        ]
      },
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "coral-hook-agentic-state"
          }
        ]
      }
    ],
    "Stop": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "coral-hook-agentic-state"
          }
        ]
      }
    ],
    "Notification": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "coral-hook-agentic-state"
          }
        ]
      }
    ]

Or use launcher which discovers worktree subdirectories, creates a agent for each one, and starts launches the dashboard:

# Launch Claude agents and web dashboard for worktrees in the current directory
launch-coral

# Launch Gemini agents from a specific path
launch-coral <path-to-root> gemini

Remote server development (SSH port forwarding)

If you're running Coral on a remote server, forward the dashboard port over SSH to access it in your local browser:

# Forward remote port 8420 to localhost:8420
ssh -L 8420:localhost:8420 user@remote-host

# If using a custom port
ssh -L 9000:localhost:9000 user@remote-host

Then open http://localhost:8420 (or your custom port) in your local browser. You can add this to your ~/.ssh/config to make it persistent:

Host my-dev-server
    HostName remote-host
    User user
    LocalForward 8420 localhost:8420

Manual tmux management

# Attach to a specific agent session
tmux attach -t claude-agent-1

# Switch between windows
Ctrl+b n  # next
Ctrl+b p  # previous

# Detach from tmux
Ctrl+b d

Agent Protocol

Agents emit structured markers using the ||PULSE:<EVENT_TYPE> <payload>|| format. The dashboard parses these from agent output in real time:

||PULSE:STATUS <Short description of current task>||
||PULSE:SUMMARY <One-sentence high-level goal>||
||PULSE:CONFIDENCE <1-5> <short reason>||

The protocol is automatically injected via PROTOCOL.md when launching agents. See src/coral/PROTOCOL.md for the full specification.

Advanced Information

For information on project structure, API endpoints, and the database schema, please see DEVELOP.md.

Dependencies

  • Python 3.8+
  • FastAPI + Uvicorn — Web server
  • Jinja2 — HTML templating
  • aiosqlite — Async SQLite (WAL mode)
  • tmux — Session management
  • Claude CLI (optional) — Powers auto-summarization

Contributing

We welcome contributions! Whether it's adding support for new AI coding agents natively or improving the web dashboard, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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

agent_coral-2.2.0.tar.gz (13.2 MB view details)

Uploaded Source

Built Distribution

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

agent_coral-2.2.0-py3-none-any.whl (13.2 MB view details)

Uploaded Python 3

File details

Details for the file agent_coral-2.2.0.tar.gz.

File metadata

  • Download URL: agent_coral-2.2.0.tar.gz
  • Upload date:
  • Size: 13.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for agent_coral-2.2.0.tar.gz
Algorithm Hash digest
SHA256 607b522940f73b50b1fa8c9c1c63f68042b4865d526e5d99ad3fcc917440784f
MD5 bd03f0c6361c3c4f3fbfaa6da702c7f5
BLAKE2b-256 b1674529dad306c0f3f3cda8258ec0bbd6cb7a83ffec74cbe340611ddc0d9012

See more details on using hashes here.

Provenance

The following attestation bundles were made for agent_coral-2.2.0.tar.gz:

Publisher: publish.yml on cdknorow/coral

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file agent_coral-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: agent_coral-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 13.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for agent_coral-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0a06d38cf2d71ab6e60daf57931d8478499f97960f27ed58527e9edc5fa98c90
MD5 0886a9764f7b33b1b28d1339682f7dd8
BLAKE2b-256 2eda6af5fd49c28a0aee2923c264f5d822cd1f363db1aec2df68c9be98c09e94

See more details on using hashes here.

Provenance

The following attestation bundles were made for agent_coral-2.2.0-py3-none-any.whl:

Publisher: publish.yml on cdknorow/coral

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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