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wazionapps/nexo

v7.9.21 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

LaunchAgent repair now tolerates macOS already‑loaded races, avoiding false Bootstrap failed: 5 errors.

Full changelog

Summary

  • LaunchAgent reload/repair now tolerates macOS already-loaded races instead of reporting false Bootstrap failed: 5 failures.
  • Repair boots out by label and plist path, falls back to legacy launchctl load -w, and only treats duplicate bootstrap as success when launchd confirms the expected plist is loaded.
  • Cron sync, runtime doctor repair, source update, and packaged update now reuse the hardened LaunchAgent reload path.
  • Public release surfaces and OpenClaw bridge metadata bumped to 7.9.21.

Validation

  • CI green: pytest, ruff, Bandit high/high, release-readiness, client parity, Claude plugin, ClawHub, and OpenClaw checks.
  • Local focused runtime/update validation: 67 passed.
  • Local client parity: 189 passed.
  • Local release readiness passed.
  • Root npm pack --dry-run passed.
  • OpenClaw npm test and npm run build passed.

What's Changed

  • Release 7.9.21 LaunchAgent repair race hardening by @wazionapps in https://github.com/wazionapps/nexo/pull/290

Full Changelog: https://github.com/wazionapps/nexo/compare/v7.9.20...v7.9.21

What's Changed

  • Release 7.9.21 LaunchAgent repair race hardening by @wazionapps in https://github.com/wazionapps/nexo/pull/290

Full Changelog: https://github.com/wazionapps/nexo/compare/v7.9.20...v7.9.21

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]