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n24q02m/mnemo-mcp

v1.0.4 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 3mo 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-agents ai-coding ai-memory claude claude-code cursor
+8 more
docker hybrid-search mcp mcp-server model-context-protocol python rclone sqlite

Summary

AI summary

Fixed EMBEDDING_DIMS default in README.

Full changelog

v1.0.4 (2026-02-18)

This release is published under the MIT License.

Bug Fixes

  • Accept list/dict data in memory.import and add --name to Docker docs (a66ad0d)

  • Pass embedding_model to local backend, add gguf support, docker-compose (bcf06f2)

  • Update qwen3-embed version pin and improve docs (8e48bf8)

Documentation

  • Add resources, prompts sections and clarify import format (1c636c6)

  • Fix EMBEDDING_DIMS default in README (ddda08e)

Detailed Changes: v1.0.3...v1.0.4

View diff on GitHub

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About n24q02m/mnemo-mcp

Persistent AI memory with SQLite hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, rclone sync across machines. Zero config, no cloud, no limits.

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Related context

Beta — feedback welcome: [email protected]