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Summary
Cross-cutting hardening for the Redis Iris work: config surface, /health observability, degradation guarantees, and a
privacy/isolation test suite that holds across both tracks. Pick this up after ...
enhancement
Summary
Route the user s preferences and learned memory records through the Agent Memory Server (from #36) as the long-term
store, and start writing working memory per scan/chat session. This is what ...
enhancement
Surfaced while dogfooding a local review with --provider ollama --model qwen3.6:35b. Three distinct problems, all
reproducible.
Evidence
$ lgtmaybe review --provider ollama --model qwen3.6:35b --api-base ...
Summary
Stand up the Redis Agent Memory Server (the OSS equivalent of Redis Iris Agent Memory: two-tier working + long-term
memory with semantic recall, auto-dedup, topic/entity extraction) and add server/agent-memory.ts ...
enhancement
Description
Stock and options data can be expensive or rate-limited. We should add caching to avoid repeated requests for the same
ticker and expiration data.
Tasks
- Decide on cache strategy for ...
Summary
Replace the naive substring recallMemories with semantic recall (embed the query, KNN over the user s MemoryRecords),
and delete the placeholder TODO. This makes user prefers morning meetings ...
enhancement
Description :
When running pytest, several warnings are generated because helper classes are named starting with Test (e.g.,
TestModel, TestResult). Pytest s default configuration scans any class starting ...
good first issue
level:beginner
Sub-issue of #21.
- New GeofenceZone SQLAlchemy model: id, owner_user, name, geometry_type ( circle for v1), center_lat, center_lon,
radius_m, active (bool), created_at. (geometry JSON reserved ...
Summary
Wire the vector index from #33 into the classify/synthesis pipeline so that (a) every synthesized decision is persisted
as a vector, and (b) before synthesis the pipeline retrieves the top-K most ...
enhancement
Summary
Add server/vector-index.ts — a best-effort RediSearch vector index over the user s synthesized decisions, so later
issues can do semantic KNN retrieval ( what did I decide on mail like this before? ...
enhancement

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