pass-agent / loomkin

What it does

• Decision graph. persistent DAG of goals, decisions, and outcomes (7 node types, typed edges, confidence tracking). Cascade uncertainty propagation warns downstream nodes when confidence drops. Auto-logging captures lifecycle events. Narrat
• Context mesh. agents offload context to Keeper processes instead of summarizing it away. Any agent can retrieve the full conversation from any other agent's history. Semantic search across keepers via cheap LLM calls. Total context grows w
• Keeper intelligence. keepers track access frequency, staleness, and confidence. Stale knowledge auto-archives. Failure memory keepers capture lessons from errors so agents avoid repeating mistakes
• Self-introspection. agents can examine their own decision history and failure patterns via built-in tools, learning from past work
• Token-aware context window. automatic budget allocation across system prompt, decision context, repo map, conversation history, and tool definitions with dynamic headroom accounting