Agent Memory Layer (MCP)
Give Claude, ChatGPT, and Cursor a secure memory layer.
Serpaix acts as a secure, real-time memory layer for AI agents. Expose 22 Model Context Protocol (MCP) tools that allow Claude Desktop, Cursor, ChatGPT, and custom agents to read, write, and reason over your personal knowledge base — making your AI assistants infinitely smarter.
The Problem
AI assistants and coding tools like Claude, ChatGPT, and Cursor are powerful, but they don't know anything about your project history, decisions, or custom contexts. Every conversation starts from zero. The context that makes the difference is trapped in your device.
The Solution
Serpaix provides a unified memory layer for AI agents via MCP (stdio JSON-RPC, serpaix-local-brain, 22 tools). Agents can query, update, and traverse your knowledge base in real-time. Scoped API tokens allow you to lock down access, so you decide exactly what your agents are allowed to remember.
Key benefits
Exposes 22 MCP tools to Claude Desktop, ChatGPT, Cursor, and custom agent systems
AI agents query your memories and write new notes mid-conversation
22 tools cover the complete read/write/search lifecycle of your knowledge base
Scoped tokens: grant specific AI clients access to specific notebooks only
Token expiry: set access windows for maximum security
Works with any MCP-compatible client or custom agent workflow
Technical Depth
MCP server implements the Model Context Protocol specification over stdio JSON-RPC transport (serpaix-local-brain, protocol 2024-11-05). 22 tools (search_memories, get_memory, ask_brain, memory_context, project_context, list_projects, list_entities, get_timeline, get_memory_connections, get_procedures, get_skills, get_user_model, explain_retrieval, get_brain_status, get_provenance, get_lifecycle, forget_scope, get_cognitive_state, forget_memory, correct_memory, add_memory, append_to_memory). Authentication uses scoped JWT tokens with per-tool permission claims. Graph context tool returns 1-hop neighborhood for any note ID, providing AI with relationship context.