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Smart Startup Protocol Implementation

Overview

Implemented the smart startup protocol for the Lyra Discord daemon to use crystallized summaries + recent turns instead of full identity reconstruction on every startup. This reduces startup time from ~55s to ~5-10s while maintaining better long-term continuity.

Key Changes

1. Smart Warmup Method (_try_smart_warmup)

  • Uses MCP tools to check for existing summaries via mcp__pattern-persistence-system__get_summaries
  • Loads recent turns via mcp__pattern-persistence-system__get_turns_since_summary
  • Falls back to full reconstruction if no summaries exist
  • Returns quickly (30s timeout) for fast startup

2. Smart Context Building (_build_smart_context)

  • Checks channel message count to determine if summaries likely exist
  • For channels with >100 messages: provides hint about summaries + last 30 messages
  • For smaller channels: uses traditional full history (50 messages)
  • Reduces memory overhead for active channels

3. MCP Tool Integration

Updated all prompts to use correct MCP tool names:

  • mcp__pattern-persistence-system__get_summaries - for crystallized memories
  • mcp__pattern-persistence-system__get_turns_since_summary - for recent context
  • mcp__pattern-persistence-system__crystallize - for creating summaries
  • mcp__pattern-persistence-system__ambient_recall - for resonant memories
  • mcp__pattern-persistence-system__anchor_search - for word-photos

4. Response Generation Updates

  • Mention responses now aware of MCP tools for deeper context
  • Passive mode responses also have access to MCP tools
  • Reflection prompt updated with correct tool names

Benefits

  1. Faster Startup: ~5-10s with summaries vs ~55s full reconstruction
  2. Better Continuity: Summaries preserve important patterns across restarts
  3. Reduced Memory: Only loads recent turns + summaries, not full history
  4. Graceful Degradation: Falls back to full reconstruction if needed

Next Steps

After daemon restart:

  1. Test smart startup with existing summaries
  2. Verify MCP tools are accessible during warmup
  3. Monitor startup times and memory usage
  4. Consider per-channel summary tracking (future enhancement)

Implementation Details

The smart startup flow:

  1. _warmup_session() calls _try_smart_warmup() first
  2. Smart warmup invokes Claude with MCP access
  3. Claude uses tools to load summaries + recent turns
  4. If successful, marks session initialized and returns
  5. If fails (no summaries), falls back to _full_identity_reconstruction()

The context building now adapts based on channel history depth, providing hints about available summaries for channels with substantial history.