Query a local associative-memory index for cited workspace answers.
npx skills add https://github.com/mishahanin/heading-os --skill recall-mishahanin
Please help me install this Agent Skill. Skill: recall Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/recall Command: npx skills add https://github.com/mishahanin/heading-os --skill recall-mishahanin
This skill solves the problem of fragmented information by providing a unified, semantic search interface across your entire workspace, ensuring past decisions, notes, and context are never lost.
Use the recall skill to search your workspace memory for what we decided about the project timeline.
High-intent search queries and answers about installing and using this skill.
Semantic search across your workspace is performed using a local associative-memory index that combines hybrid dense and BM25 retrieval to surface past decisions and notes. This approach finds information by meaning rather than exact keywords.
Yes, you can retrieve information from CRM threads and knowledge bases with zero API cost. The system operates entirely locally, querying a local associative-memory index to provide context-aware answers while ensuring data privacy.
Semantic memory retrieval supports cross-lingual queries by utilizing hybrid dense and BM25 search mechanisms. This allows the system to find relevant information based on meaning rather than being restricted by language-specific keywords.
To prevent hallucinations, cited answers are generated strictly from retrieved file content and include direct path citations. This grounds the responses in actual workspace data, allowing you to verify the exact source files instantly.
The best way to index fragmented information for unified knowledge management is by using a local associative-memory index. This creates a unified, semantic search interface across diverse data layers, ensuring context is never lost.
Yes, you need Python 3 installed in your environment to run the local BM25 and dense retrieval scripts. This dependency is required to execute the associative-memory indexing and querying mechanisms.
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