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Extend SemanticMemory.recall to combine embedding similarity with keyword overlap (RRF or weighted sum). Fixes exact
strings (error IDs, filenames) that pure vectors miss.
board:rag-retrieval
enhancement
bokoxthexchocobo
Prepend template context when persisting notes, e.g. [Terminal · deploy script · timestamp] Traceback: … using
Screenpipe/window fields — no background LLM required for v1.
board:rag-retrieval
enhancement
Hello, Code is solid, you may want to state its not a live cam capture, and that you need to provide a video file. I
modified it and now it uses my usb camera to capture Live video
BIGMOS
Use existing extra field on remember() for app, window, device, timestamp, session_id. Enable pre-filter before vector
search (e.g. terminal + last 4 hours).
board:rag-retrieval
enhancement
Runtime _populate_memory_recall still keyword-scans local memory.jsonl. Route live turns through SemanticMemory /
/memory/recall (GPU embeddings) so reflections and chat share one index.
board:rag-retrieval
enhancement
Similar shorthand to Metric.read() - accept a Collection of metrics and write them all
msto
Summary
Similar to HR and performance management tools that export employee skill matrices, the platform should allow exporting
capability data for use in proposals and presentations.
Current State
...
luisesanabria
A filter option was created beside the search bar to select and sort through the searches for the users.
enhancement
Feature
Rejwan321
Replace JSONL linear scan when indexed OCR volume grows. semantic_memory.py interface stays; swap backend behind it.
Defer until tens of thousands of chunks.
board:rag-retrieval
enhancement
Summary
Inspired by workforce scheduling systems that show available capacity per skill area, this enhancement adds a visual
dashboard to our platform showing team bandwidth.
Current State
Each capability ...
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