OAK.memory
Persistent memory for your AI, across sessions and tools
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Stop repeating your context to AI. OAK.memory stores facts and their connections, combining vector search with graph traversal to recall related context across sessions. Connect supported AI tools through MCP, or build with the open-source engine. Start with cloud memory or run locally.
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PH · launched Oct 24, 2026 · 3 upvotes (top 10%)
- Horizontal
- Data infrastructure
- Developer
- AI-native
- Commercial product
- Productivity
- Developer Tools
- Artificial Intelligence
- GitHub
Similar launches
See all 241 similar launches →Could you build this?
Yes Persistent memory combining vector search and graph traversal can be built on common databases like pgvector or a graph store, exposed through an MCP server.
Competitors
Other products that read as similar to this one : 241 launches clear the similarity bar, closest 8 shown.
Attention rank: #30 of 242 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 352 days after the earliest competitor.
- AI memory with biological decay (52% recall) · hn · 2026-04-26 · 98 upvotes · similarity 0.52
- MouseBase · ph · 2026-09-08 · 1 upvotes · similarity 0.51
- ContextPool · ph · 2026-04-13 · 179 upvotes · similarity 0.51
- DocuMemory · hn · 2026-10-18 · 6 upvotes · similarity 0.50
- RecallOs-Ai · github · 2026-09-15 · 6 upvotes · similarity 0.50
- Lumvise · ph · 2026-10-28 · 2 upvotes · similarity 0.50
- Store whatever you decide to remember · hn · 2026-01-09 · 5 upvotes · similarity 0.48
- Second Brain for AI · ph · 2026-05-31 · 284 upvotes · similarity 0.47
Other launches for this product
- No other launches for this product.