Knowledge Graph
Tvix automatically capture and structure your memory into a living Knowledge Graph.
Tvix automatically brings your personal context from your daily agents and apps.
Get Started For FreeTotally free. No credit card required.
Compatible with any MCP support agents
Tvix automatically capture and structure your memory into a living Knowledge Graph.
Tvix delivers your context to every agent. Get decisions and history instantly.
Sync your context from any agents and tools you use. Gmail, Calendar, Slack, and more.
Add Tvix MCP to your daily agent with a single line of command.
Your apps automatically feed context into your personal memory.
Every agent automatically pulls the context it needs from Tvix, and use it to answer your request.
Manage your memories directly from the Dashboard and visualize the connection between your memories at a glance.
Loved by people working with AI agents
“Before Tvix, I was manually moving markdown files between computers just to keep project context alive. Now I can pick up client work across devices and models without starting over.”
“This is the one memory layer that actually works across all my agents. The wiki structure is what makes it different from every other memory tool I tried.”
“It feels like a real Jarvis for my work, remembering context across projects and devices with fewer tokens. I am using it to build a digital twin.”
“Tvix gives my AI agents the memory layer they were missing on long-running projects. Future work always starts from what is already known, without bloating the MCP workflow.”
“It keeps my AI research context alive across sessions and agents. It turns scattered experiments, documents, and assistant conversations into a memory layer I can actually build on.”
“It acts as a shared memory hub across all my AI agents and tools. Project knowledge stays persistent and searchable instead of scattered across chats, apps, and notes.”
“Before Tvix, I was manually moving markdown files between computers just to keep project context alive. Now I can pick up client work across devices and models without starting over.”
“This is the one memory layer that actually works across all my agents. The wiki structure is what makes it different from every other memory tool I tried.”
“It feels like a real Jarvis for my work, remembering context across projects and devices with fewer tokens. I am using it to build a digital twin.”
“Tvix gives my AI agents the memory layer they were missing on long-running projects. Future work always starts from what is already known, without bloating the MCP workflow.”
“It keeps my AI research context alive across sessions and agents. It turns scattered experiments, documents, and assistant conversations into a memory layer I can actually build on.”
“It acts as a shared memory hub across all my AI agents and tools. Project knowledge stays persistent and searchable instead of scattered across chats, apps, and notes.”