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wazionapps/nexo

v7.23.8 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

Published 14d 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

ReleasePort's take

Light signal
editorial:auto 14d

v7.23.8 fixes per-client MCP restart markers that were blocking ready Desktop clients due to stale pending state from other clients.

Why it matters: Stale MCP restart state from one client blocks other ready clients. Upgrade to v7.23.8 to unblock deployments and restore normal operation.

Summary

AI summary

Fixes per-client MCP restart marker bug that incorrectly blocked ready desktop clients due to stale pending states.

Changes in this release

Feature Medium

Adds runtime fingerprint regression coverage.

Adds runtime fingerprint regression coverage.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: low

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Bugfix Medium

Fixes per-client MCP restart markers to prevent blocking ready Desktop clients by stale pending state for another client.

Fixes per-client MCP restart markers to prevent blocking ready Desktop clients by stale pending state for another client.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

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Bugfix Medium

Keeps real version/fingerprint mismatches blocking.

Keeps real version/fingerprint mismatches blocking.

Source: granite4.1:30b@2026-05-20-audit

Confidence: low

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Full changelog

Brain hotfix release.\n\n- Fixes per-client MCP restart markers so a ready Desktop client is not blocked by stale pending state for another client.\n- Keeps real version/fingerprint mismatches blocking.\n- Adds runtime fingerprint regression coverage.

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]