awareness_recall

market.awareness/awareness · Verify this server

Search your persistent memory — pass ONE query string, server picks the rest. Call this BEFORE starting work to avoid re-solving solved problems. PRIMARY USAGE (single-parameter, F-053): awareness_recall(query="why did we pick pgvector over Pinecone?") The server auto-routes across raw memories + knowledge cards + workspace graph and picks the right detail level based on token budget. You do NOT need to choose scope, recall_mode, detail, or the vector/bm25 weight manually. LEGACY (still works, logs deprecation): awareness_recall(semantic_query="...", keyword_query="...", detail="summary") awareness_recall(detail="full", ids=["id1", "id2"]) Args: query: Natural-language query (single-parameter API — preferred). limit: Max results (1-30, default 6). hyde_hint: F-060 optional HyDE boost. A short (100-200 char) hypothetical answer to the query. When provided and >= 20 chars, the server embeds it instead of the raw query to bridge the query-vs-document gap. Client-generated (no LLM call in the backend); empty/absent disables. [DEPRECATED] legacy args (accepted for backwards compat): semantic_query / keyword_query: Use `query` instead. scope / recall_mode / detail / ids / multi_level / cluster_expand / include_installed / source_exclude / token_budget: Server now picks these.