Store and search project knowledge with semantic embeddings and full-text search.
npx skills add https://github.com/jayprimer/pmc-marketplace --skill memory-jayprimer
Please help me install this Agent Skill. Skill: memory Source: https://github.com/jayprimer/pmc-marketplace/tree/main/plugins/pmc/skills/memory Command: npx skills add https://github.com/jayprimer/pmc-marketplace --skill memory-jayprimer
Storing, indexing, and retrieving project knowledge across sessions to preserve institutional memory and accelerate decision-making.
Add a memory with content and a category using the pmc memory add command.
High-intent search queries and answers about installing and using this skill.
Store project knowledge across sessions using SQLite by adding context, decisions, and learnings via the 'pmc memory add' command, which persists data locally for later retrieval and team onboarding.
Semantic search with project memories uses OpenAI embeddings to index content, enabling vector retrieval of conceptually related knowledge across sessions without requiring exact keyword matches.
You need an OpenAI API key to enable semantic search for project memory, as the system uses OpenAI embeddings when API keys are available, though full-text keyword search remains functional without them.
You can use full-text keyword search alongside vector search for project knowledge via hybrid search, which combines semantic embeddings and keyword matching to retrieve relevant memories across sessions.
The best way to retrieve project decisions using category tagging is to assign categories when adding memories, then filter searches by category to efficiently locate specific historical context and rationale.
Partial ID lookups for searching memories are supported for efficient retrieval, but exact matches on complete IDs provide the most precise results when managing specific entries in team projects.
winsorllcStore and retrieve semantic memories using OpenAI embeddings in a local JSON file.
jaechang-hitsProcess SAM, BAM, and CRAM alignment files with samtools.
nnexaiRetrieve historical project decisions and patterns from the MemPalace knowledge base.
AbilityaiRebuild the FAISS vector index for updated semantic search accuracy.
