Credit packages. Clear model choice.

Best for first-time users who want to sync one real folder and try search, chat, and MCP before buying a larger credit package.

• Storage has no fixed cap; stored files use credits daily at a low storage rate.
• 750 monthly general credits for chat, tools, storage, retrieval, and post-setup indexing.
• 2,500 one-time setup indexing credits for first sync.

Connect your own ChatGPT/Codex account and keep LK focused on private storage, deterministic indexing, scoped tools, dashboard workflows, and MCP access.

• Target $4/mo when non-LLM operating costs leave margin; otherwise $5/mo.
• 25 GB storage and 12 GB estimated index footprint for a private LK corpus.
• Chat, tool reasoning, retrieval planning, and ingestion summaries route through your connected Codex session.

A simple monthly credit package with enough room to choose the model that fits each task instead of being locked into a fixed response tier.

• Storage has no fixed cap; uploads pause only when credits run out.
• 10,000 monthly general credits for daily solo use.
• Choose between multiple frontier models; higher-cost models spend more credits.

A larger monthly credit package for high-volume chat, document analysis, and agent workflows with the same open frontier model choice.

• Storage uses credits daily instead of a plan-specific cap.
• 80,000 monthly general credits, 8x Core capacity.
• 10,000 one-time setup indexing credits for onboarding.

A shared monthly credit package for heavier workloads, larger storage needs, and teams that want predictable model spend.

• Shared storage uses credits daily with no fixed storage ceiling.
• 200,000 monthly general credits, 20x Core capacity.
• 10,000 one-time setup indexing credits for onboarding.