Summarize After Long Runs
Turn long planning sessions into compact continuation state that preserves goals, blockers, constraints, and next actions.
AI Agents
ContextKit gives agents a dedicated context lifecycle: summarize after milestones, compress before long prompts, hand off between workers, and preserve durable user memory without dragging the full conversation forward.
Agent rule: preserve goal, blockers, constraints, decisions, and next actions before context exceeds the model window.
Turn long planning sessions into compact continuation state that preserves goals, blockers, constraints, and next actions.
Send machine-optimized context packets into downstream prompts instead of replaying full conversation history.
Generate successor-agent payloads with completed work, pending work, decisions, risks, and start-here instructions.
Use Bankr-hosted x402 endpoints for public pay-per-call access, or API-key credits for app integrations.