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nfemmanuel/iranti

v0.2.15 Feature

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

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Fixed hybrid search crash caused by embedding normalization prototype traps.

Full changelog

Benchmark-driven fixes for search, ingest, observe autodetection, and MCP relationship read parity.\n\nHighlights:\n- fixed hybrid search crash caused by embedding normalization prototype traps\n- added sentence-level ingest fallback when whole-passage extraction returns zero chunks\n- improved observe autodetection for bare slug-style project identifiers\n- added MCP tools for relationship reads (iranti_related, iranti_related_deep)\n- added regression coverage for chunker fallback, vector merge hardening, and MCP surface parity

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About nfemmanuel/iranti

Persistent shared memory for AI coding agents. Stores facts as `entity/key/value` triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.

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Beta — feedback welcome: [email protected]