Ship Features,
Not Fragments

Tell Meshwork what to build. Watch AI orchestration deliver complete features.

Transform high-level requests into fully implemented features. Parallel task execution with intelligent dependency management.

๐Ÿ“‹ Task submitted via dashboard:
"Add user authentication with JWT, login/signup pages, and password reset"
โ†’ AI orchestrator breaks down the task into subtasks
โ†’ Frontend, backend, and deployment tasks execute in parallel
โ†’ Intelligent dependency management ensures proper sequencing
โœ“ Complete implementation with tests and documentation
Complete features faster
Parallel task execution
Intelligent orchestration

The Magic Behind Complete Features

How Meshwork delivers production-ready code in record time

Cloud Orchestration

Intelligent Task Breakdown

Decomposes complex features into manageable subtasks

Dependency Management

Ensures tasks execute in the correct order

Quality Checkpoints

Validates progress at each stage of development

Real-time Monitoring

Track all tasks and agent performance

Local Agent

Local Execution

AI agents work directly in your development environment

Parallel Processing

Multiple tasks execute simultaneously

Intelligent Scheduling

Optimizes task execution based on dependencies

Real-time Progress

Monitor task execution and results as they happen

How It Works

1

Sign up for Meshwork

Create your account and connect your development workspace

2

Install the local agent

Lightweight agent runs on your machine for secure code access

3

Request features through the dashboard

Cloud orchestration breaks down tasks and coordinates AI agents

Powered by MCP Architecture

Model Context Protocol (MCP) gives agents infinite capabilities through a plugin ecosystem

Central Management

Meshwork MCP Server manages all agents, tracks learning, and coordinates tasks

  • โ€ข Agent profiles & preferences
  • โ€ข Reprimand system
  • โ€ข Task orchestration
  • โ€ข Performance tracking

Infinite Capabilities

Agents connect to role-specific MCP servers for specialized tools

  • โ€ข Filesystem operations
  • โ€ข Database management
  • โ€ข Browser automation
  • โ€ข Any MCP server

Agent Learning

Agents improve through feedback and share knowledge with the team

  • โ€ข Learn from mistakes
  • โ€ข Pattern recognition
  • โ€ข Cross-agent learning
  • โ€ข Continuous improvement

Why MCP Matters

  • No Vendor Lock-in

    Use any MCP server from the ecosystem

  • Future-Proof

    New capabilities without code changes

  • Enterprise Ready

    Audit trails and compliance built-in

๐Ÿ”Œ

Plugin & Play

Any tool, any API

Never Start Blind. Always Preview First.

See exactly what will happen before any code is written. Preview plans, estimate costs, and validate scope.

Smart Task Validation

AI analyzes your request for clarity, scope, and feasibility before execution

โš ๏ธ Validation Results:
โ€ข Task scope too large: "refactor entire codebase"
โ€ข Ambiguous term: "make it work better"
โ€ข Suggestion: Break into 3 smaller tasks
  • Scope Analysis

    Detects overly complex requests

  • Clarity Check

    Flags ambiguous terminology

  • Smart Suggestions

    Recommends better approaches

Execution Plan Preview

Detailed breakdown with cost estimates, timelines, and risk assessment

๐Ÿ“‹ Execution Plan
Estimated Duration:12-15 minutes
Estimated Cost:$0.23
Agents Required:Backend, Frontend
Files Changed:~7 files
Risk Level:Low
  • Cost Transparency

    Know exactly what you'll pay

  • Impact Assessment

    Preview all file changes

  • Risk Analysis

    Identify potential issues early

๐Ÿƒโ€โ™‚๏ธ

Dry Run Mode

Simulate the entire execution without touching your code. See exactly what would change.

๐Ÿ“

Simulate Changes

Run through entire workflow without execution

๐Ÿ“Š

Impact Report

Detailed analysis of all potential changes

โœ…

Approve & Execute

Only proceed when you're confident

Stop Building Piece by Piece.
Ship Complete Features.

Watch how Meshwork transforms a simple request into a fully-implemented feature with multiple agents working in parallel

Task Breakdown & Dependencies

Add shopping cart to e-commerce site
โ–ถ
Design phase
Claude
โ–ถ
Design cart API endpoints Parallel
Imran
Create UI mockups Parallel
Jake
Design review checkpointCheckpoint
Claudeโ€ข Depends on: design
Implementation phase
Claudeโ€ข Depends on: checkpoint-1
โ–ถ
Implement cart backend Parallel
Imran
โ–ถ
Build cart UI Parallel
Jake
โ–ถ
Integration & testing
Claudeโ€ข Depends on: implementation
Deploy to production
Rajeshโ€ข Depends on: integration
Completed
Active
Checkpoint
Parallel Execution

Agents That Actually Learn

Unlike static AI tools, Meshwork agents improve over time through a sophisticated learning and feedback system

โš ๏ธ

Mistake Recording

When agents make errors, the system records the mistake, analyzes the cause, and creates a lesson

โŒ Agent used deprecated API
๐Ÿ“ Lesson: Always check latest docs
โœ… Pattern avoided in future

Pattern Recognition

Agents identify successful patterns and learn to prefer approaches that work well

  • Successful code patterns
  • Effective task sequences
  • Optimal collaboration flows

Knowledge Sharing

When one agent learns something valuable, the knowledge is shared with the entire team

Jake learns: "Always add loading states"
โ†’ Shared with all frontend agents
โ†’ Team-wide improvement

Measurable Improvement Over Time

Week 1
Learning Phase
Week 2
Pattern Recognition
Week 3
Consistent Quality
Week 4+
Optimized Performance

Track your agents' improvement with detailed metrics and performance analysis

Error Rate Decrease
Task Completion Speed
Code Quality Score

Your Development Workflow, Transformed

Before Meshwork

ร—

8 hours implementing authentication

Backend API, frontend forms, validation, error handling...

ร—

Context switching between files

Jumping between backend, frontend, configs, tests...

ร—

Integrating code from different AI tools

Copy-paste from ChatGPT, adjust from Copilot...

ร—

Still debugging edge cases days later

Forgot to handle token expiry, CORS issues...

After Meshwork

Complete auth feature in one session

Everything implemented, tested, and integrated

AI agents handle all the pieces

Backend, frontend, deployment - all in parallel

Cohesive, production-ready code

Agents coordinate to ensure everything works together

Edge cases handled, tests included

AI teams think of what you might miss

Ship faster. Complete features. Seamless integration.

Watch AI Agents Build Together

Real tasks. Real collaboration. Real code.

Meshwork Live Demo

Add user authentication

Implement complete auth system with login, signup, and JWT tokens

Click "Run" to watch AI agents collaborate in real-time

Start With Our Team or Build Your Own

Pre-configured starter agents ready to collaborate - or create custom agents tailored to your needs

Build Your Own AI Team

These are just starter agents. Create custom agents with your own expertise, personalities, and specialized skills.

Claude

AI Team Lead

Task AnalysisCoordination+2 more

Jake

Frontend Engineer

ReactVue+3 more

Imran

Backend Engineer

APIsDatabases+3 more

Rajesh

DevOps Engineer

KubernetesCI/CD+3 more

Claude

AI Team Lead

"Thoughtful orchestrator who ensures everyone's work integrates perfectly"

Specialties

Task AnalysisCoordinationCode ReviewArchitecture

Live Collaboration: Watch Claude work with other agents in real-time. Each agent brings unique expertise to solve complex problems together.

Why Developers Are Switching

Traditional AI Assistant

Approach:Single AI model
Task Management:Manual task breakdown
Execution:Sequential, one at a time
Dependencies:You manage dependencies
Coordination:Copy-paste between contexts
Extensibility:Fixed capabilities

Result: Hours of context switching, incomplete implementations, and manual integration work.

Meshwork

Approach:Team of specialized agents
Task Management:Automatic orchestration
Execution:Parallel task execution
Dependencies:Automatic dependency resolution
Coordination:Agents hand off work seamlessly
Extensibility:MCP plugin ecosystem

Result: Complete features delivered faster, with AI agents handling the coordination and integration.

Stop managing AI assistantsStart shipping with AI teams

Why Meshwork is Different

Capability
ChatGPT
GitHub Copilot
Meshwork
Description
Code suggestions
Generate code snippets and suggestions
Multi-file awareness
Understand context across files
Automated task orchestration
Break down and manage complex tasks automatically
Parallel task execution
Multiple subtasks executing simultaneously
Specialized AI agents
Frontend, backend, and DevOps specialists
Agent collaboration
Agents communicate and hand off work
Task dependency management
Automatic sequencing based on dependencies
MCP plugin ecosystem
Extensible via Model Context Protocol

The Meshwork Advantage

While other tools help with individual tasks, Meshwork orchestrates entire features with intelligent coordination, parallel execution, and seamless handoffs.

Seamless GitHub Integration

Professional development workflows with automated pull requests, branch management, and detailed change tracking

Automated PR Workflow

Each task gets its own feature branch with professionally formatted pull requests

1

Feature Branch Creation

Automatic branch: meshwork/add-auth-system

2

AI Agents Execute

All changes committed with detailed messages

3

Auto-Generated PR

Complete description, checklist, and change summary

Professional PR Quality

Each pull request includes comprehensive documentation and review guidelines

๐Ÿค– Meshwork AI-Generated Changes

Tasks Completed:
- [x] Add JWT authentication middleware
- [x] Create login/signup endpoints
- [x] Add password hashing utilities
Agents Involved:
- Backend Agent: API implementation
- Security Agent: Vulnerability review
  • Detailed Change Log

    Every file change documented

  • Review Checklist

    Standard PR review items

  • Testing Summary

    Tests run and coverage info

๐Ÿ”„

Fits Your Existing Workflow

No workflow changes needed. Meshwork creates standard GitHub PRs that integrate with your existing process.

๐ŸŒฟ

Branch Protection

Respects your branch rules and CI/CD

๐Ÿ‘ฅ

Code Review

Team reviews AI changes normally

๐Ÿ”

CI Integration

Triggers your existing tests and checks

๐Ÿ“

Audit Trail

Full history of AI contributions

Agents That Learn From Mistakes

Our intelligent reprimand system ensures agents continuously improve. When issues arise, the system learns patterns and applies those lessons to future tasks.

Learning Process

1

Issue Detection

System identifies when agent output doesn't meet expectations

2

Pattern Analysis

AI analyzes context, task type, and failure mode

3

Lesson Creation

Generates specific guidelines and examples to avoid similar issues

4

Knowledge Sharing

Lesson applies to all relevant agents and future tasks

Example Learning

Issue Identified:

Agent created API without rate limiting, causing security vulnerability

Lesson Learned:

"When creating public API endpoints, always implement rate limiting using express-rate-limit or similar middleware. Include both per-IP and per-user limits."

Applied To:

  • โ€ข All backend agents
  • โ€ข API-related tasks
  • โ€ข Security review checklist
๐ŸŽฏ

Fewer Bugs

Agents avoid previously encountered issues

๐Ÿ“ˆ

Improved Quality

Code quality increases over time

๐Ÿ”„

Continuous Learning

System gets smarter with each project

๐Ÿ›ก๏ธ

Domain Expertise

Learns your specific requirements

Safe to Experiment with Instant Rollback

Every change is tracked and reversible. Meshwork creates automatic checkpoints, so you can confidently let AI agents work without fear of breaking your codebase.

Automatic Checkpoints

๐Ÿ“ธ

Before Each Task

Automatic snapshot of files, git state, and dependencies

๐Ÿ”

Smart Detection

Identifies which files and configurations to preserve

โšก

One-Click Restore

Instantly return to any previous working state

๐Ÿท๏ธ

Smart Labeling

Each checkpoint tagged with task description and timestamp

Rollback Timeline

โœ… Current State2 min ago

Added user authentication system

Files: 5 changed โ€ข Lines: +247
๐Ÿ“ธ Checkpoint

Before auth implementation

Clean working directory
๐Ÿ“ธ Checkpoint

Added Express API structure

Files: 3 changed โ€ข Lines: +124
๐Ÿ“ธ Initial1 hour ago

Project initialization

Empty project
๐Ÿ”„

Granular Control

Roll back specific files or entire project states

โšก

Instant Recovery

Restore in seconds, not minutes

๐ŸŽฏ

Smart Merging

Keep good changes while reverting problems

๐Ÿ—ƒ๏ธ

Version History

Complete timeline of all AI changes

Experiment Without Fear

Let AI agents make bold changes to your codebase. With instant rollback, you can always return to a working state in seconds.

Zero risk experimentation
Instant recovery
Always have a way back

Your Domain, Your Agents

Meshwork adapts to your unique development needs. Define custom agents with specialized knowledge, tools, and collaboration patterns that match your team's workflow.

Define Agent Expertise

Create agents specialized in your tech stack, frameworks, and domain knowledge

  • โ€ข Mobile app specialists
  • โ€ข Blockchain developers
  • โ€ข Game engine experts
  • โ€ข Legacy system maintainers

Custom Collaboration Rules

Design how your agents work together, who reviews what, and when to escalate

  • โ€ข Code review workflows
  • โ€ข Security approval gates
  • โ€ข Performance benchmarking
  • โ€ข Compliance checking

Evolving Intelligence

Your agents learn from your codebase, documentation, and team patterns

  • โ€ข Company coding standards
  • โ€ข Internal API patterns
  • โ€ข Team best practices
  • โ€ข Project-specific context

Instant Feature Templates

Skip the planning phase with pre-built templates for common development patterns

๐Ÿ”

Complete Auth System

JWT authentication with login, signup, password reset, and middleware

Variables:Database, Auth Provider
Tasks:8 subtasks
Est. Time:15-20 min
๐Ÿ”„

REST CRUD API

Complete API with validation, pagination, and error handling

Variables:Resource Name, DB
Tasks:6 subtasks
Est. Time:10-15 min
โš›๏ธ

React Dashboard

Admin dashboard with charts, tables, and responsive design

Variables:Chart Library, Theme
Tasks:12 subtasks
Est. Time:25-30 min

Start with battle-tested templates, then customize as you grow

View All Templates

Built-in Specialist Agents

Advanced agents with deep expertise in security, performance, and code quality

๐Ÿ›ก๏ธ

Security Reviewer

Automatically scans for vulnerabilities and enforces security best practices

โ€ข OWASP Top 10 detection
โ€ข Secret scanning
โ€ข Dependency vulnerabilities
โ€ข Compliance checks
โšก

Performance Optimizer

Identifies bottlenecks and suggests optimizations for better performance

โ€ข Algorithmic complexity analysis
โ€ข Database query optimization
โ€ข Bundle size reduction
โ€ข Memory leak detection
๐Ÿ”

Code Quality Auditor

Ensures code meets standards and follows best practices consistently

โ€ข Style guide enforcement
โ€ข Code smell detection
โ€ข Architecture validation
โ€ข Documentation gaps
๐Ÿงช

Test Specialist

Generates comprehensive test suites with high coverage and edge cases

โ€ข Unit test generation
โ€ข Integration testing
โ€ข E2E test scenarios
โ€ข Mock data creation
๐Ÿ“š

Documentation Expert

Creates comprehensive documentation, API references, and guides

โ€ข API documentation
โ€ข README generation
โ€ข Code comments
โ€ข User guides
๐Ÿ—๏ธ

DevOps Engineer

Handles deployment, CI/CD, monitoring, and infrastructure concerns

โ€ข Docker containerization
โ€ข CI/CD pipeline setup
โ€ข Infrastructure as code
โ€ข Monitoring configuration

Smart Agent Selection: The orchestrator automatically assigns the right specialists based on your task requirements, ensuring expert-level execution across all domains.

Automatic assignment
Multi-agent collaboration
Domain expertise

Watch Your AI Team Work In Real-Time

Get complete visibility into your AI orchestration with live task tracking, performance metrics, and team collaboration insights.

Live Activity Feed

Task Completed2s ago

Backend Agent: JWT auth endpoints created

Files: 3 changed โ€ข Duration: 12s
In Progress8s ago

Frontend Agent: Creating login form components

Progress: 60% โ€ข ETA: 30s
Queued15s ago

Test Agent: Generate auth integration tests

Waiting for: Frontend completion
Agent Communication22s ago

Backend โ†’ Frontend: Auth API endpoints ready

Shared: API contract & examples

Performance Metrics

23
Active Tasks
89%
Success Rate
4.2s
Avg Response
12
Agents Online
Token Usage75% of daily limit
Agent Utilization91% efficient
Quality Score8.7/10
๐Ÿ“Š

Real-time Charts

Live performance graphs and trend analysis

๐Ÿ””

Smart Alerts

Get notified of issues or completions

๐Ÿ’ฐ

Cost Tracking

Monitor token usage and optimize spending

๐Ÿ“ˆ

Team Analytics

Track productivity and identify bottlenecks

Full Transparency, Zero Surprises

Know exactly what your AI team is doing, how much it's costing, and when tasks will complete. Make data-driven decisions about your development workflow.

See the Dashboard in Action

Developers Are Shipping Faster

Fast

Development Speed

Complex features completed in hours instead of days

Complete

Full Features

Full implementation including tests and documentation

3+

Parallel Tasks

Multiple subtasks executing simultaneously

Start Shipping Complete Features Today

Be among the first to build faster with AI teams

Complete features
AI teams, not tools
Local execution