GenAIScope v0.2.91

GenAIScope v0.2.91 Release Notes

GenAIScope v0.2.91 adds a local-first memory, file intelligence, prompt coaching,
trace logging, and dashboard layer on top of the existing readiness toolkit.

Install

pip install genaiscope

New Features

• SQLite-backed local memory store
• Local keyword/hybrid memory search
• Prompt quality coach
• File memory for TXT, MD, JSON, and CSV
• Local trace logging
• Static HTML dashboard

CLI

genaiscope memory add "User prefers concise answers" --type preference
genaiscope memory add-prompt "Summarize this properly."
genaiscope memory search "concise answers"
genaiscope files add README.md
genaiscope trace stats
genaiscope dashboard generate

Python

from genaiscope.memory import MemoryStore

memory = MemoryStore()
memory.add("User prefers short CTO-level answers.", memory_type="preference")
print(memory.search("answer style"))

Known Limitations

• SQLite only in this release
• Local keyword/hybrid scoring only; no embeddings yet
• PDF and DOCX ingestion are not included
• Dashboard is static HTML

Roadmap

• Redis backend
• Vector search
• Semantic cache
• MCP memory server
• REST API