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s60yucca/mnemos

v1.1.8 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo AI Agents & Assistants
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Implemented an observation framework for feature tracking and MCP call instrumentation.

Full changelog

Changelog

  • df707ebc0f2290892733a2b451cc231d3d0d9a1b feat: add context injection logging for demo trimming and include demo setup scripts
  • 099a2d8f213fb1d8d52a7031db0a232ef24d3851 feat: extend demo.svg timeline and increase canvas height to accommodate additional days
  • 0189a54e247b7bb481cc82d12e3538f916427f0d feat: implement observation framework for feature tracking and MCP call instrumentation
  • 799ffdc5591e3519e54bc09f9bd0344a160112f5 feat: persist autopilot daemon status to disk for cross-process status reporting
View diff on GitHub

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About s60yucca/mnemos

Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor.

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Related context

Beta — feedback welcome: [email protected]