{"skill":{"slug":"agent-memory-tools","displayName":"Agent Memory Tools","summary":"Searches, stores, and manages agent memory across 4 sources (fact store, vector embeddings, BM25, knowledge graph). Runs 100% local via Ollama — no API keys,...","tags":{"latest":"1.0.0"},"stats":{"comments":1,"downloads":116,"installsAllTime":1,"installsCurrent":1,"stars":1,"versions":1},"createdAt":1774318180331,"updatedAt":1774318910941},"latestVersion":{"version":"1.0.0","createdAt":1774318180331,"changelog":"agent-memory-tools 1.0.0 — first release\n\n- Search, store, and manage workspace knowledge across four local sources: fact store (Convex/JSON), vector embeddings, BM25 full-text, and knowledge graph.\n- 100% local operation via Ollama; no API keys or cloud dependency required.\n- Includes unified search, multi-hop reasoning, fact extraction with contradiction checks, auto-ingest from file changes, and knowledge graph building.\n- Modular Python scripts for recall, extraction, ingestion, time-weighted search, and entity graph management.\n- Flexible configuration for storage backend, LLM, and embeddings provider.\n- Designed for privacy, extensibility, and easy local setup.","license":"MIT-0"},"metadata":null,"owner":{"handle":"primo-studio","userId":"s1759mmcbs0k8efcjjtg0swbvd83gqhk","displayName":"Primo-Studio","image":null},"moderation":null}