Roo Code b2e8141c7e feat: implement local vector store and embedding capabilities ... - Add LibSQLVectorStore implementation using @mastra/libsql for local SQLite-based vector storage - Add FastEmbedEmbedder implementation using @mastra/fastembed for local CPU-based embeddings - Support bge-small-en-v1.5 and bge-base-en-v1.5 embedding models - Update configuration system to support "local" vector store type and "fastembed" embedder provider - Add comprehensive test coverage for new implementations - Maintain backward compatibility with existing Qdrant and OpenAI integrations - Enable zero-cost, privacy-focused code indexing without external dependencies Resolves #5682		2025-07-14 06:04:58 +00:00
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build	Sharing improvements (#5082)	2025-06-24 16:36:32 -04:00
cloud	Cloud: support static cloud settings (#5435)	2025-07-06 23:21:52 -04:00
config-eslint	Upgrade to ESLint 9 + share eslint config across workspaces (#3815)	2025-05-21 21:30:21 -07:00
config-typescript	Roo Code Cloud (#4069)	2025-05-28 20:43:30 -07:00
evals	Minor fixes for local (non-Docker) evals (#5604)	2025-07-11 12:15:21 -07:00
ipc	Farewell jest (#4607)	2025-06-16 21:39:45 -07:00
telemetry	Git repo cloud telemetry (#5119)	2025-06-25 17:01:32 -07:00
types	feat: implement local vector store and embedding capabilities	2025-07-14 06:04:58 +00:00