Plugs Into Where Work Already Happens
Slack
GitHub
Jira
Confluence
GitLab
Teams
MeetSlackGitHubJiraConfluenceGitLabTeamsMeetFrom Scattered Context to Instant Recall
Three steps to organizational memory that AI agents can query.
Ingest
Captures decisions from Slack, GitHub, Jira, and meetings. No manual documentation required.
Graph
Builds knowledge graph connecting who decided what, when, and why. Relationships, not just documents.
Query
AI agents retrieve context via MCP (Model Context Protocol) before generating. Right answers, first time.
Ingest
Captures decisions from Slack, GitHub, Jira, and meetings. No manual documentation required.
Graph
Builds knowledge graph connecting who decided what, when, and why. Relationships, not just documents.
Query
AI agents retrieve context via MCP (Model Context Protocol) before generating. Right answers, first time.
The Difference Memory Makes
Without GUTT
- "Why did we build it this way?"Lost in a Slack thread from 8 months ago
- AI suggests patterns your team explicitly rejectedNo memory of past decisions
- New devs spend weeks asking "who knows about X?"Tribal knowledge stays tribal
- Every PR review re-litigates settled debatesContext resets with every conversation
- Your AI assistant treats your codebase like a stranger'sZero institutional memory
With GUTT
- Decisions are captured automaticallyFrom Slack, GitHub, Jira, and meetings
- AI agents query context before generatingNo more confidently wrong suggestions
- New developers find answers in the graphProductive in days, not months
- The "why" travels with the "what"Architecture decisions stay connected to code
- Every AI interaction builds on the lastOrganizational memory that compounds
What Changes With GUTT
AI that learns your organization, not just your codebase.
Configure Once. Query Forever.
Add GUTT to your AI tools via MCP. No SDK. No code changes. Just context.
// Add to .cursor/mcp.json or claude_desktop_config.json
{
"mcpServers": {
"gutt-pro-memory": {
"transport": "http",
"url": "https://your-org.gutt.pro/mcp"
}
}
}
// Your AI agents now query organizational context automatically.
// "Why did we choose PostgreSQL?" — It knows.What Our Users Say
"I completed large documentation work in Confluence in hours that would have previously taken days. The tool's ability to capture technical details and enrich Jira tickets with project context is amazing."
"Once you've experienced AI-assisted workflows with organizational context, you don't want to go back. The quality of output is completely different."