ProfileClaw
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ProfileClaw
ProfileClawCareer Graph OS
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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Developers

Add Human Context to Your AgentsReal identity data agents can read.

Don't rebuild assessments, parsing, and access controls. Start with the Context API so agents work from a real person, not a prompt that forgets.

View Docs
ProfileClaw layer
Identity as infrastructure

Agents don't need to reconstruct the user on every request. Context is already there.

API surface
Readable contracts

Context API first. Stable errors. Clear field definitions. No guesswork.

What emerges
Continuous action

Agents filter, judge, and move work forward from the same long-term context. Tokens multiply.

Start Here

Quickstart

From API key to first successful request in the shortest path.

Context API

Pull aggregated context first. Expand to task endpoints when needed.

Reference / OpenAPI

Stable contracts, predictable errors, shared definitions for real integration.

Recommended PathRead context first. Go deeper second.

Let agents read long-term context first, then decide if deeper capabilities are needed.

Integration stack
1

Create an API Key

2

Call Context API

3

Expand by Task

Create an API Key

Generate a bearer key and define access boundaries first.

Call Context API

Make profile, preferences, and signals the default context layer.

Expand by Task

Add graph, alerts, and prediction only when the workflow needs them.

Built for Real Workflows

AI Assistants

Answer from a real profile instead of relearning the user each time.

Matching Systems

Plug into matching, ranking, and filtering workflows with user permission.

Automation Workflows

Embed long-term context into notifications, coaching, and recommendations.

Custom Agents

Use ProfileClaw as the memory layer instead of scattering identity across prompts.

Integration Principles

Start with aggregated context before task endpoints

Depend on stable types, not free-form error strings

Keep OpenAPI and docs on the same contract source

Design for agent continuity, not single requests

Next step

Build with Real Human ContextRead the docs, wire it into your agents.

Start with docs, review pricing, and decide if you're building for personal workflows or product integration.

View DocsSee Pricing