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ProfileClaw Data Layer

Build once. Keep your context alive everywhere.

ProfileClaw keeps your assessments, materials, and long-term context ready for products like OpenClaw, Claude Work, and Nanobot, so AI can work with memory instead of starting cold.

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Open QuickstartOpen the quickstart to see how ProfileClaw data connects to docs, APIs, and agent workflows.
Get StartedCreate your account, start the assessments, and build a capability profile AI can keep using.
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Agent Guides

Use ProfileClaw as long-lived context, not prompt history

These guides show how to give agents a stable context layer, keep reads lean, and grow into event-driven or retry-aware orchestration only when the runtime needs it.

Open Agent QuickstartOpen Context APIOpen Reference
Tip

Most agents should start with the 2-call path

One context read plus one task-specific call is usually enough to avoid both over-fetching and under-contexting.

Workflows

Start with a recommended orchestration path

These pages explain how ProfileClaw should sit inside your agent runtime.

Agent Quickstart

Recommended 2-call and 3-call patterns.

Open Agent Quickstart

Agent Auth

How agents should inject keys, scopes, and failure handling.

Open Agent Auth

Closed Loop Architecture

How context, explore, apply, reports, execution artifacts, checkpoints, and jobs now connect into one runtime loop.

Open Closed Loop Guide
Runtime

Add operational controls only when needed

Caching, retries, and webhooks matter once agents move from experimentation into production loops.

Caching

Keep repeated reads efficient without hiding important changes.

Open Caching

Retries

Retry the right failures with backoff and contract-aware branching.

Open Retries

Agent Webhooks

Move from polling to event-driven continuation when timing matters.

Open Agent Webhooks