Awareness — Memory, Knowledge & Agent Markets

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as market.awareness/awareness and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 13 Oct 2026. Not supplied by the maker.

• __awareness_workflow__

  Call this when you're unsure what to do next with Awareness memory tools. Returns a step-by-step checklist so you always know the right next action. Low-cost call — use it anytime you need a

• awareness_init

  Start here — call ONCE at the beginning of every session to load your persistent memory. WHY: Without this call, you have no memory of past sessions. You'll re-discover things you already kno

• awareness_get_agent_prompt

  Fetch the full activation prompt for a specific agent role (sub-agent spawning). Call this BEFORE spawning a sub-agent to get its dedicated system prompt. Use the returned activation_prompt a

• awareness_recall

  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_lookup

  Fast DB lookup — use this instead of awareness_recall when you know WHAT you want. awareness_recall = "search by meaning" (semantic, slower). awareness_lookup = "get by type" (exact DB query,

• awareness_record

  Save memory — pass ONE content string, server handles the rest. Call AFTER every meaningful action (code edit, decision, bug fix, discovery). If you don't record it, it's lost forever in the

• awareness_mark_skill_used

  Mark a skill as used and report the outcome. Call this AFTER applying a skill's instructions during a task. Outcome feedback closes the learning loop: - "success" (default): full decay re

• awareness_apply_skill

  Apply a learned skill — returns structured step-by-step execution plan. Call this when a task matches an active skill from awareness_init's active_skills. Returns the skill's methods, summary

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