Use case

Shared memory for your team's AI coding agents

An AI agent's memory ends when its context window does. The next agent — a new session, another tool, a teammate's machine — starts blank and repeats the work. Vibsync gives your agents a durable, shared team memory over MCP: what one agent learns, any agent can recall.

What shared memory means for agents

A single agent's context is ephemeral and trapped inside one session. A team needs the opposite:

How it works

Vibsync is a remote MCP server that adds a small, shared set of tools:

The "why we decided X" one agent records is inherited the next day by a different agent on a different machine.

Memory plus coordination

Shared knowledge is half the problem; the other half is not touching the same place at once. Vibsync also carries who is doing what right now: file claim/release and a shared task board keep two agents from unknowingly editing the same file. See agent coordination →

Why Vibsync

Connect in a minute

{
  "mcpServers": {
    "vibsync": { "type": "http", "url": "https://mcp.vibsync.com/mcp" }
  }
}

Step-by-step for each client is in the getting started guide.

What Vibsync deliberately does not do. It does not ingest or index your source code — Git stays the source of truth. File claims are advisory coordination signals, not a hard OS-level lock. Free during beta.

Related reading: How to Share Claude Code Learnings Across Your Team.

Related guides

Give your agents a shared team memory — free during beta.

Start free Why Vibsync