Release v11.4.0 · doobidoo/mcp-memory-service

Special Thanks to filhocf for contributing both features in this release.

[11.4.0] - 2026-07-04

MINOR release: memory merge action, pluggable domain NER extractors, mcpmemory.services landing page.

feat(consolidate): merge action for the memory_consolidate tool (PR #105, closes #100, @filhocf). Merges N source memories into a single memory with store-first/delete-after ordering and per-delete result checking. When not explicitly provided, tags default to the sorted union of all source tags and memory_type is inherited from the first source. The response ok flag is true only when every source deletion succeeded (len(failed) == 0), so partial failures are reported correctly. 11 tests including failure paths.
feat(ner): pluggable domain-specific entity extractors (PR #107, closes #54, @filhocf). New DomainExtractor protocol in reasoning/entities.py; register implementations via the MCP_ENTITY_EXTRACTOR_MODULES env var (module.path:ClassName, comma-separated). Extractors are lazily loaded once and cached, failures are isolated per extractor (built-in extraction never breaks), and domain entities are deduplicated against built-in ones. Wired into the graph handler, the quality maintain cycle, and the memory store path. See docs/DOMAIN_EXTRACTORS.md.
feat(site): mcpmemory.services landing page (PR #106). Galaxy hero video rendered from 3,134 connected memories, blog tutorial, and an in-browser semantic memory demo running entirely client-side (sqlite-vec WASM + transformers.js embeddings).
feat(demo): AI Tinkerers Zurich demo scripts (local-agent, concurrency, standalone).