Memory Intelligence
AI-layered filtration that turns chaos into organized memory.
RAW INPUT STREAM
> decided to use Postgres instead of Mongocoding
> "the db migration risk is overstated"quote
> user prefers dark mode + geist monopref
AI FILTRATION PIPELINE
CaptureINGEST → STREAM
Parse entitiesNER → EXTRACT
DeduplicateSEMANTIC MATCH
ClassifyAUTO → COLLECTION
0
Memories structured
Every conversation captured by your AI clients is parsed, deduplicated, and versioned.
Auto-organized collections10 collections
How it works
A memory layer that sits under every AI you use.
01 / CAPTURE
Capture every conversation
Each session with Claude, ChatGPT, Gemini, or Cursor is captured as it happens — decisions, context, and threads included.
02 / STRUCTURE
Structure into memory
Raw transcripts become structured memories: entities, preferences, and project state, deduplicated and versioned in your vault.
03 / SYNC
Sync everywhere
Memories flow back into every client over MCP, and out to Obsidian, GitHub, and Notion so your tools stay current.
MCP native
One protocol. Every client.
OmegaVault ships as a Model Context Protocol server. Any MCP-capable client reads and writes the same vault — no plugins, no per-app adapters, no lock-in.
Claude
ChatGPT
Gemini
CursorReliability
99.99%
Uptime SLA
<40ms
Recall latency
AES-256
Encrypted at rest
SOC 2
Type II certified
Pricing
Pay for memory, not seats.
MonthlyYearly
ProPopular
$8/ mo
·Unlimited memories
·Obsidian · GitHub · Notion sync
·Priority recall
·1:1 founder call