live.innernet/innernet — Model Context Protocol (MCP) Server
live.innernet/innernet provides “versioned memory” across AI tools. It supports context maps, personal memory, and task tracking, coordinated over MCP, so multiple tools can access shared state while retaining version history across interactions.
🛠️ Key Features
- Versioned memory
- Context maps
- Personal memory
- Tasks over MCP
🚀 Use Cases
- Sharing context maps across multiple AI tools via MCP
- Persisting personal memory for AI-assisted workflows
- Managing and tracking tasks through MCP-enabled tooling
⚡ Developer Benefits
- A single memory layer for multiple AI tools via MCP
- Versioned state to support consistent context evolution across tool runs
⚠️ Limitations
- Only the available capabilities—versioned memory, context maps, personal memory, and tasks—are described; no additional tooling, integrations, or operational details are provided.