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yakuphanycl/instinct

v1.4.0 Feature

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

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-memory anthropic claude-code llm-tools mcp mcp-server
+2 more
memory-management self-learning

Summary

AI summary

Auto-chain detection scans timestamps to discover sequential patterns without manual definition.

Full changelog

Added

  • Auto-chain detection: scans confidence_log timestamps to discover sequential patterns (seq:A->B) automatically — no manual sequence definition needed
  • Effectiveness scoring: tracks which suggest() patterns get confirmed by subsequent observe() calls, with confirmation rates
  • detect_chains MCP tool and detect-chains CLI command
  • effectiveness MCP tool and CLI command
  • 14 new tests (77 total)

Meta

  • Glama badge and glama.json added
  • CHANGELOG backfilled for v1.1.0–v1.4.0
  • Python 3.14 added to CI matrix
  • Repository + Changelog URLs added to PyPI metadata
  • README header fixed for GitHub rendering
View diff on GitHub

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About yakuphanycl/instinct

Self-learning memory for AI coding agents. Observes tool sequences, user preferences, and recurring fixes; confidence-based promotion (hits ≥5 → mature, ≥10 → rule)

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Related context

Beta — feedback welcome: [email protected]