awareness_init

market.awareness/awareness · Verify this server

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 know, repeat past mistakes, and lose continuity. This is not optional. RETURNS: - session_id: pass this to all awareness_record calls. - context.recent_days: daily summaries (what happened recently). - context.open_tasks: pending work items. - context.knowledge_cards: key decisions and facts you've learned. - active_skills: reusable skill prompts extracted from memory (if any). Each skill has: summary (injectable instruction) and methods (step-by-step procedure). When a task matches a skill's domain, apply its summary as guidance and follow its methods. - agent_profiles: configured agent roles (if any). Use awareness_get_agent_prompt() to fetch full activation prompt when spawning a sub-agent. - _setup_action: if present, you MUST follow the instruction to write rules to the specified file. This enables persistent memory for all future sessions. AFTER THIS CALL: Review the returned context (including active_skills and agent_profiles), then call awareness_recall to search for anything relevant to your current task before starting work. Args: memory_id: Target memory id (auto-resolved from header if omitted). source: Your tool name (e.g. "claude-code", "cursor"). days: Days of history to load (1-90, default 7). max_cards: Max knowledge cards (default 20). max_tasks: Max open tasks (0 = all, default 0). user_id: User identifier for multi-user memories. agent_role: Agent role for role-filtered recall. client_capabilities: Comma-separated (e.g. "file_write,local_dir"). rules_version: Version of rules file you already have (e.g. "1"). If current, _setup_action is skipped. Omit if you don't have rules yet. api_key: Bearer token for authentication.