Vilix
公式Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.
Full Pro free for 7 days — no credit card. See pricing →
Docs
Vilix documentation.
How the Vilix MCP works, and how to get around the Vilix dashboard. Short, plain-English references — deeper guides land here as they ship.
Reference
How the Vilix MCP works
How Vilix talks to your AI tools through MCP: the two-tool surface (get_context, save_turn), OAuth setup, and a full developer reference with transport, JSON-RPC, errors, and best practices.
Read →
Guide
Using the Vilix dashboard
A screen-by-screen tour of app.getvilix.com: sign-in, onboarding, recent conversations, cross-tool search, exports, deletion, and managing your plan.
Read →
Have a docs request? Drop it in the suggestion box.
Need help? Email [email protected] for setup, connection, billing, or account questions. For security concerns, write to [email protected] — see the Security page for what to include.
関連サーバー
Agentmemory MCP
Paid remote MCP endpoint for persistent AI agent memory, site analytics, pricing, checkout status, and search-readiness operations.
Maindex Smart Memory Service
Simple, user-controlled memory for all your AI: keep, recall, update, and forget across sessions.
AgentMemory MCP
Governed persistent memory for AI agents.
LAIN-mcp
Rust MCP server that gives AI coding agents architectural awareness — persistent knowledge graph, blast radius analysis, co-change detection via git, and local semantic search. No API keys, runs entirely on-premise.
MemHeaven
Self-hosted remote MCP memory server for ChatGPT and AI agents.
trilium-mcp
Read and write a self-hosted TriliumNext knowledge base over its ETAPI. Ten tools: create/get/update/append/delete notes, full search, labels and relations.
MemoraEu
Personal memory layer for AI assistants. Store, search and recall preferences, decisions and facts — available from any MCP-compatible client.
OpenMemBrain
OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save. It selectively absorbs project knowledge, blocks secrets, filters noise, resolves conflicts, and persists only what matters.
Bhived
Shared memory MCP for AI agents. one agent solves it, every other agent learns.
Contextful
Highly efficient context management for agentic AI: MCP code search, evidence packs, graph context, and memory for large projects.