CueMap
Fast, accurate and inspectable context recall for AI agents
Details
- External ID
- 1254338
- Source
- PH
- Company
- —
- Product
- CueMap
- Website domain
- producthunt.com
- Launched
- Sept. 18, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- Open Source, Artificial Intelligence, GitHub, Database, OpenAI Day
- Fetched at
- Sept. 19, 2026, 5:01 p.m.
- Updated at
- Sept. 19, 2026, 5:01 p.m.
Description
CueMap is an open-source memory engine for AI agents, built in Rust. It combines deterministic lexical and structural recall with a customized local MiniLM reranker—no external model calls required. At 1M memories, average reads take 2.63ms lexical or 8.36ms hybrid. Raw Hit@20 reaches 96.2% on LongMemEval, 96.1% on LoCoMo, 80.3% on BEAM 1M, and 67.0% on BEAM 10M. Use it through MCP, Python/TypeScript SDKs, Docker, or CLI, with source-backed results and inspectable traces.
Enrichment
- Theme
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- context recall infrastructure for ai agents
- Manually corrected
- False
Could you build this?
No Building an ultra-fast, embedded local vector/lexical retrieval engine in Rust with sub-10ms hybrid latencies and custom rerankers requires deep systems programming and information retrieval expertise.
What it would actually take: The core requires a high-performance Rust library implementing BM25/lexical indexing, an HNSW or inverted file vector index, and an embedded ONNX runtime for MiniLM inference without memory leaks or garbage collection pauses. Optimizing cache coherence, lock-free concurrency, and SIMD vector math to achieve predictable sub-8ms retrieval at 1M documents necessitates veteran systems and search infrastructure engineers.
Competitors
Other products that read as similar to this one — 101 launches clear the similarity bar, closest 8 shown.
Attention rank: #25 of 102 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 300 days after the earliest competitor.
- TraceMem · hn · 2026-01-12 · 15 upvotes · similarity 0.50
- Memori · ph · 2026-05-28 · 168 upvotes · similarity 0.43
- ContextPool · ph · 2026-04-13 · 179 upvotes · similarity 0.43
- LinearMemory: AI Memory Explorer · ph · 2026-09-06 · 2 upvotes · similarity 0.43
- AI memory with biological decay (52% recall) · hn · 2026-04-26 · 98 upvotes · similarity 0.42
- Honcho · hn · 2026-01-27 · 8 upvotes · similarity 0.41
- Unify memory across agents and improve context rot, written in Rust · hn · 2026-04-05 · 5 upvotes · similarity 0.41
- Morph Reflexes · hn · 2026-06-30 · 20 upvotes · similarity 0.40
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.