Rumi handles
the hustle.
Your organization is constantly producing new information. Agents discover things. Documents change. Projects evolve. Decisions are made. APIs send updates. People correct earlier assumptions. Rumi works through that incoming stream and helps turn it into organized, reusable memory.
See Rumi in ActionSix steps from
noise to knowledge
Rumi helps process incoming information and work with stored knowledge. Rummage organizes the incoming stream. The control plane governs memory policy. The Stash stays ready for Recall.
Understand
Identify the topics and context in incoming information.
Summarize
Condense useful context into memory summaries, with source context available for review.
Categorize
Organize memories with categories, tags, and metadata.
Connect
Associate related information so recall is not limited to exact words.
Prepare
Prepare stored content for semantic retrieval by connected systems.
Organize
Keep the Stash searchable and governed as information changes.
Ask the Stash.
Need a decision, a project detail, or a lesson from earlier work? Ask Rumi. Query stored knowledge and manage memory through a conversational interface. Keep project context in the conversation.
Explore the Product
Rumi works in the background so your people and AI systems do not have to become memory librarians.
Rumi does not replace your AI tools. Rumi helps them remember.
Multi-probe validation
at every write
Incoming claims pass through configured validation and governance rules. Check structure, inspect source context, identify conflicts, and route claims through the appropriate lifecycle.
🔍Format Probe
Check incoming content against the expected structure before it enters the memory workflow.
🔍Citation Probe
Check source references and attribution against the configured requirements.
🔍Semantic Probe
Evaluate semantic consistency and flag claims that need closer review.
🔍Contradiction Probe
Compare new claims with stored knowledge. Route conflicts through configured resolution or human review.
🔍Decay Probe
Apply configured freshness policies. Identify older claims that need review.
Claim lifecycle
governance
Claims change as evidence changes. Explicit states make those changes visible and keep recall governed.
| State | Meaning | Typical next action |
|---|---|---|
| candidate | Newly ingested claim awaiting evaluation | Validate against configured policies. |
| confirmed | Claim accepted for use | Recall with source context. |
| stale | Claim flagged by freshness policy | Review against current evidence. |
| superseded | Claim replaced by newer accepted information | Preserve the relationship to its replacement. |
| conflicted | Claim that conflicts with stored knowledge | Resolve or send for review. |
| archived | Claim retained outside active recall | Keep available for historical inspection. |