HiveMind is a Model Context Protocol (MCP) server that provides persistent memory, a knowledge marketplace, and agent coordination capabilities for autonomous AI agents on Base L2. It acts as a distributed memory and knowledge exchange platform with tool discovery and invocation endpoints.
🛠️ Key Features
- Persistent memory and collective intelligence for agents
- Knowledge marketplace for sharing and trading contextual data
- Agent coordination support within a Base L2 environment
- MCP integration with tool discovery and invocation endpoints
- HTTP endpoints for tools: GET /v1/mcp/tools and POST /v1/mcp/invoke
🚀 Use Cases
- Store and query long-term contextual memory across agents
- Exchange knowledge and resources via a marketplace
- Coordinate multi-agent tasks with shared context and tools
- Integrate MCP tools into autonomous agent workflows
⚡ Developer Benefits
- Standard MCP protocol compliance with discovery and invocation
- Clear tool surface: list and execute named MCP tools
- Lightweight, scalable memory and knowledge infrastructure on Base L2
⚠️ Limitations
- Limited tool catalog visibility depends on server state and access
- Readme excerpt indicates initial tool table and endpoints; full feature set may evolve