AI Agents

A continuation memory layer for autonomous workflows.

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.

Summarize After Long Runs

Turn long planning sessions into compact continuation state that preserves goals, blockers, constraints, and next actions.

Compress Before Expensive Calls

Send machine-optimized context packets into downstream prompts instead of replaying full conversation history.

Handoff Between Agents

Generate successor-agent payloads with completed work, pending work, decisions, risks, and start-here instructions.

Pay With x402

Use Bankr-hosted x402 endpoints for public pay-per-call access, or API-key credits for app integrations.