Give agents continuity across sessions
Save decisions, preferences and lessons in the project collection. A later run can retrieve that authorized context instead of relying only on temporary conversation history.
Data, AI & integration
Memory that carries across agents and people.
Integrate persistent context into your solutions through MCP, an SDK or the API. Agents and people can consult shared memory within their connection permissions.
What GoMind makes possible
An AI solution needs to stay useful after the conversation ends. GoMind connects people and agents to shared memory through MCP, an SDK or the API, so recorded context carries into the work that follows.
Connect what people and agents learn
Knowledge recorded by one participant can be consulted by another authorized participant. Your solution works with shared context even when people use different AIs.
Define where each integration can act
Organize memory by project or client and configure read and write access for each connection. Give the right integration context with clear participation boundaries.
One person records it.
The next conversation builds on it.
LiaSolutions architectusing
GeminiHow can I help today?
RecordsDecisionsOperations assistant
Illustrative example. Everyone uses their own AI and consults an authorized collection.
Start for freeLess time in meetings.
More time delivering results.
Fewer calls to rebuild context
Implementation decisions and lessons remain available to query, reducing meetings to explain the system’s existing behavior to a new teammate.
Less alignment between integration and operations
Engineering and operations consult shared records in their own AI tools, without relaying the same context through successive calls.
More time to build and validate
Recorded constraints and criteria are available asynchronously. The team cuts update meetings and spends time testing the solution.