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wazionapps/nexo

v7.30.9 Bugfix

This release fixes issues for SREs watching stability and regressions.

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 atkinson-shiffrin autonomous-agent claude-code claude-code-plugin codex
+14 more
cognitive-architecture knowledge-graph local-first mcp mcp-server memory metacognition model-context-protocol natural-forgetting llm semantic-search shared-brain trust-scoring vector-db

Summary

AI summary

Distinguishes real product failures from stale history and stamps a verified post-update repair baseline to prevent false red states.

Changes in this release

Feature Medium

Adds a verified post-update repair baseline to prevent old Codex transcripts and protocol drift from marking a repaired install as failed.

Adds a verified post-update repair baseline to prevent old Codex transcripts and protocol drift from marking a repaired install as failed.

Source: granite4.1:30b@2026-06-04-audit

Confidence: low

 —
Bugfix Medium

Distinguishes real installed-product failures from stale operator/session history in runtime doctor and release gate.

Distinguishes real installed-product failures from stale operator/session history in runtime doctor and release gate.

Source: llm_adapter@2026-06-04

Confidence: high

 —
Full changelog

Release 7.30.9 makes the runtime doctor and release gate distinguish real installed-product failures from stale operator/session history. It also stamps a verified post-update repair baseline so old Codex transcripts and protocol drift do not keep a repaired install red, while live hook/config failures still block.\n\nValidation: release readiness OK with 239 pytest checks, focal tests 149 passed, npm root dry-run OK, OpenClaw build/test/pack dry-run OK.

Full Changelog: https://github.com/wazionapps/nexo/compare/v7.30.8...v7.30.9

View diff on GitHub

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About wazionapps/nexo

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools.

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Related context

Beta — feedback welcome: [email protected]