sirius-lab · Memory

Institutional memory
for AI workflows.

Your AI interactions, accumulated. Your decisions, preserved. Your knowledge, never lost.

Memory turns the stream of AI conversations into a permanent, structured knowledge base for your organization.

Coming Soon

The Vision

What if AI knowledge accumulated?

What if every AI conversation you've ever had became searchable, verifiable institutional memory?

Not just saved — structured.
Not just stored — auditable.
Not just indexed — traceable.

Memory builds a living knowledge graph from your AI interactions. Every decision, every analysis, every insight — connected, cross-referenced, and available to every future conversation.


Preview

Your Knowledge, Structured

2025-03-12 · Session 047
Architecture decision: local-first storage
architecture decision
2025-03-14 · Session 051
Context injection strategy v2
relay design
2025-03-18 · Session 058
Audit trail schema finalized
audit schema
2025-03-22 · Session 063
Safety protocol review
safety
2025-03-25 · Session 067
Export format comparison
export
More to come

Planned Capabilities

What Memory Will Do

Cross-session Memory Graph

Automatically connect related conversations, decisions, and insights across sessions into a navigable knowledge graph.

Decision Trace & Audit Trail

Every AI-assisted decision is logged with full context. Reproduce any reasoning chain from any point in time.

Knowledge Accumulation Engine

The more you use AI, the more Memory learns about your domain, preferences, and institutional context.

Team-level Institutional Memory

Share verified knowledge across team members. No more re-explaining context to new colleagues or new sessions.