Universal Developer Context Protocol

One AI Context for All. Stop Re-Introducing Yourself.

Your tech stack, coding standards, and architectural decisions in continuous sync across Cursor, Claude Code, Windsurf, and ChatGPT. Zero prompt copying. Zero amnesia.

Direct Answer · Shared Memory & Context Protocol

Meto is a free, local-first shared memory and context protocol for AI coding assistants. It unifies project rules, active architectural decision records (ADRs), and stack preferences into a single source of truth, accessible across Cursor, Claude Code, Windsurf, VS Code, and Google Antigravity via local files and the Model Context Protocol (MCP).

✓ Best for:Sharing context and compiling rules (.cursor/rules, CLAUDE.md, .windsurfrules) across multiple AI tools without a hosted service.

The Reality: Modern Engineers Don't Use Just One AI

You code in Cursor Composer. You run autonomous terminal loops in Claude Code. You brainstorm architecture in ChatGPT or Perplexity. But each assistant lives in a complete silo.

01

The Groundhog Day Burnout

Starting every morning by re-explaining that you use Next.js 16, Supabase, and Tailwind v4. If you don't remind the AI, it defaults to deprecated syntax.

02

The Copy-Paste Handoff Dance

Planning in Claude → copying markdown into Cursor Composer → generating code → copying stack traces back to Claude. Friction destroys your flow state.

03

Chat Rot & Context Degradation

After 15 messages, LLM context compaction sets in. Models loop on rejected solutions, forcing you to wipe the thread and lose your working state.

System Architecture

How Meto Solves Context Fragmentation

Rather than stuffing raw files into a prompt, Meto structures developer identity into a deterministic three-tier state protocol.

Tier 1: Static Directives

Verified framework versions, styling systems, testing libraries, and strict typing constraints that apply across all projects.

Tier 2: Persistent Memory

Architectural Decision Records (ADRs), rejected libraries, and historical bug fixes. The AI remembers why you chose or rejected an approach.

Tier 3: Active State

Live task queues, mid-session handoffs, and multi-agent directives accessible across terminal and editor via Model Context Protocol.

One Setup. Continuously Synchronized Everywhere.

Update your profile once in Meto. Every connected IDE and agent queries your latest directives automatically.

CursorCursor
WindsurfWindsurf
Google AntigravityGoogle Antigravity
Claude DesktopClaude Desktop
VS Code (Cline/Roo)VS Code (Cline/Roo)
GitHub CopilotGitHub Copilot
ZedZed
Claude Code CLIClaude Code CLI

Manual Prompting vs Meto Context Protocol

CapabilityManual Copy-PastingMeto Protocol
Multi-Tool SynchronizationZero (each tool is an island)Automatic via MCP & live API
Chat Rot RecoveryMust re-type prompts from scratchInstant re-anchor in new chat
Token EfficiencyBloats entire system promptLazy-loaded tools on-demand
Directives VerificationNone (contradictions common)Context Score & gap audit engine

Frequently Asked Questions

How does Meto share context between different AI tools?

Meto operates as an open Model Context Protocol (MCP) server. When an AI tool (Cursor, Windsurf, Claude Desktop, Antigravity) receives a prompt, it queries Meto's local/remote MCP tools to retrieve your verified tech stack, architectural constraints, and coding rules in real time without manual copy-pasting.

Does Meto upload my proprietary code to the cloud?

No. Meto only stores your developer profile, stack directives, and architectural preferences. It never scans, clones, or stores your private source code repositories.

Can I use Meto with both web chats (ChatGPT/Claude) and desktop IDEs?

Yes. For IDEs with native MCP support (Cursor, Windsurf, Antigravity, VS Code, Claude Code CLI), Meto connects directly via MCP. For web interfaces (ChatGPT, Claude.ai, Gemini), Meto generates tailored, token-optimized system instruction prompts that you can copy in one click.

How does this prevent 'Chat Rot' and context compaction?

When AI chat sessions extend past 20 messages, LLM context windows degrade, causing models to hallucinate or forget instructions. With Meto, you can wipe the chat thread at any moment—the next query immediately re-anchors to your verified Meto profile through MCP, completely eliminating cold-start friction.

Connect all your AI tools to one source of truth

Create your Meto profile in 2 minutes. Free forever for developers.