MeshSwarm

A team of AI agents.
Working in parallel.

MeshSwarm is the autonomous agent engine inside MeshSpace. You write the mission. The swarm plans it, maps your codebase, builds in parallel, and reviews its own work — all while you watch from a live Kanban board.

MeshSwarm agent network

Four roles. One mission.

Every swarm is made up of four specialised agent types. Each has a defined responsibility, a defined scope, and a defined handoff point. No agent steps on another.

Coordinator

Plans the mission

Reads your mission statement, analyses the project, and breaks the work into discrete tasks. Assigns each task to a role with a clear description and file scope. Monitors progress and signals when the swarm is complete.

Scout

Maps the codebase

Reads every relevant source file in your project directory. Builds a structured knowledge base — architecture notes, dependency map, existing patterns, file ownership. Writes it to MeshMCP so every Builder can query it before writing a single line.

Builder

Writes the code

Multiple Builders run in parallel, each owning a different set of files. They read the Scout knowledge base, claim their files to prevent conflicts, write the implementation, and advance their tasks through the board when done.

Reviewer

Gates quality

Polls for tasks in review. Reads the changed files, verifies correctness, and either approves — moving the task to Done — or rejects with a specific reason that sends the Builder back to fix the issue.

Shared context

Every agent reads from the same memory

MeshSwarm does not pass context between agents by copy-pasting prompts. Every agent reads from and writes to MeshMCP — the shared coordination server — so the entire swarm operates on the same live state.

When the Scout finishes mapping your codebase, that knowledge is immediately available to every Builder. When a Builder completes a task, the Reviewer sees it instantly. When the Coordinator creates a task, it appears on your Kanban board in real time. Nothing is siloed. Nothing is duplicated.

Scout knowledge base
Architecture notes, file ownership map, dependency graph, and existing patterns — written once, read by every Builder.
File ownership claims
Each Builder locks the files it owns before writing. No two Builders touch the same file. No merge conflicts.
Live task board
Every status change is broadcast via SSE to MeshSpace instantly. The Kanban board reflects the real state of the swarm with no polling.
Context flow
C
Coordinator writes mission → creates tasks in MeshMCP
S
Scout reads codebase → writes knowledge to MeshMCP
Pipeline gate — Builders wait until Scout signals complete
B
Builders read knowledge → claim files → write code in parallel
R
Reviewer reads tasks → approves or rejects with reason
C
Coordinator detects all done → signals SWARM COMPLETE

Skills — drag and drop into any terminal

Skills are reusable instruction sets that shape how an agent approaches a task. Drag any skill card directly onto a terminal pane to inject it into the agent running there. MeshSpace ships with six built-in skills and lets you create your own.

Security
MeshPilot Security

Threat-model and harden features before they ship. Covers authentication, secrets, trust boundaries, unsafe file access, dependency risk, and exploit paths. Runs an OWASP-style audit checklist on every task it touches.

Growth
MeshPilot SEO

Turn product pages and content into discoverable, search-ready surfaces. Reviews title, meta, H1–H3 hierarchy, Core Web Vitals risk, structured data, and AI-search readiness. Preserves your design system while improving semantic structure.

Workflow
MeshPilot GitHub

Structure changes into clean commits, safe pushes, and reviewable PRs. Groups related changes, writes conventional commit messages, excludes build artifacts and secrets, and produces a review-ready summary with migration notes.

Coordination
MeshPilot MCP

Use MCP-backed project context intelligently. Keeps task lifecycles disciplined, avoids skipping required transitions, pulls relevant artifacts and prior decisions before making changes, and records important state changes where the rest of the swarm can consume them.

Deployment
MeshPilot Deploy

Prepare releases with production readiness checks. Verifies build assumptions, environment variables, migrations, backwards compatibility, monitoring, and rollback options. Produces a clear deploy sequence with post-deploy verification steps.

Design
MeshPilot UI Theme

Apply MeshPilot's dark visual language with disciplined spacing, restrained contrast, and compact chrome. Matches existing surfaces, borders, and contrast levels. Keeps forms, cards, and toolbars consistent with surrounding UI.

Create your own skills

Write a skill once — give it a name, a description, a command shortcut, and a full markdown instruction set. It appears in the Skills panel alongside the built-in ones. Drag it onto any terminal to inject it into the agent running there. Your skills persist across sessions and workspaces.

Everything the swarm needs, built in

MeshSwarm runs inside MeshSpace, which means every agent has access to a full set of tools without leaving the app.

Built-in browser

A full browser pane inside MeshSpace. Agents can launch your project's dev server and preview it without switching windows. Supports local dev servers, HTML files, and any URL.

Parallel terminals

Each agent runs in its own persistent terminal pane. Sessions survive workspace navigation. Multiple swarms can run simultaneously in separate workspaces.

Live Kanban board

Task cards move columns in real time as agents work. Click any card to see the full activity log, status history, assigned agent, and files owned. No refresh needed.

Notification system

Terminals and sidebar items glow with a heartbeat effect when active. An audio chime fires on completion. Desktop notifications route your attention to the right workspace even when you are elsewhere.

MeshVoice integration

Use MeshVoice to dictate instructions directly into any terminal pane. Speak a correction, a new task, or a clarification — it appears at the cursor in the agent's terminal instantly.

Agent network graph

A visual graph showing all active agents, their roles, and the connections between them. Role colors are consistent across every surface — roster, board, terminals, and graph.

Launch your first swarm.

MeshSwarm runs inside MeshSpace. Download MeshSpace to get started.