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AlekseiMarchenko/central-intelligence

v1.2.1 Breaking

This release includes breaking changes for platform teams planning a safe upgrade.

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

Fixed eight regressions including endpoint looping, embedding fallbacks, memory discoverability, graph building, extraction cancellation, recall filtering, causal link persistence, and dead code removal.

Full changelog

External code review found 8 regressions introduced by the 14 rapid-fire commits that tried to fix benchmark extraction stalls. All 8 are now fixed.

Fixed (Critical)

  • /extract endpoint now loops through ALL batches instead of processing one batch and stopping
  • Batch fallback facts use real embedding vectors instead of empty [] (was crashing on vector(1536) column)

Fixed (High)

  • Preference-only memories keep their fallback fact_unit so they stay discoverable in fact search
  • Entity graph builds automatically after extraction (no more dead graph retrieval)
  • fireAndForgetExtraction uses AbortController to cancel zombie extractions on timeout

Fixed (Medium)

  • Fact-based recall now applies scope, tags, and date filters (was ignoring all caller filters)
  • Causal relations from GPT extraction are persisted to fact_links table (graph traversal can use them)
  • Dead code cleanup: removed unused factEntityMap variable and consolidateObservations import
View diff on GitHub

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About AlekseiMarchenko/central-intelligence

Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.

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Related context

Beta — feedback welcome: [email protected]