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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Ecosystem

One Identity Across Every AgentYour context, shared across systems that need it.

ProfileClaw gets more valuable when multiple systems call the same profile. You stop repeating yourself. Systems stop rebuilding you from scratch. Context compounds across every integration.

View Docs
The old assumption
Every system re-collects your data

Assessed on platform A, resume on B, background on C. Data breaks across products. Identity fragments.

ProfileClaw layer
Shared identity protocol

Assessments, resume, skills, and preferences in one structure. Authorized products call it directly.

What emerges
Different agents, same you

OpenClaw, Claude Code, enterprise ATS—they all read from the same ProfileClaw. Your identity is portable.

Four Ecosystem Roles

One data layer supports different products and scenarios.

OpenClaw Agents

Agents read your interest structure and skills instead of guessing from chat. Context loaded before action.

Developers & Products

Embed ProfileClaw data into apps through the Context API for recommendations and matching.

Enterprise Systems

With authorization, structured profiles plug into ATS screening and talent review.

Partners

Career education and HR tech connect through standard interfaces. Assess once, reuse everywhere.

Ecosystem network showcase

Ecosystem Network

One profile connecting the career ecosystem

Reuse PatternsHow one profile moves across scenarios.

ProfileClaw is reusable data that travels across systems.

Reuse patterns
1

Agent Skills

2

Workflow Chaining

3

Cross-Product Profile

Agent Skills

Agents read profiles through OpenClaw skills or plugins. Core structure is already there.

Workflow Chaining

Assessment, report, advice, and recommendations connect into one decision pipeline.

Cross-Product Profile

View reports on ProfileClaw, explore on OpenClaw, get matched by enterprise systems.

Partners We're Looking For

Agent platforms — let agents act with real user context

Recruiting & HR tech — turn candidate data into comparable structure

Career education — recommend paths from learner profiles

Automation tools — call capability data inside orchestration

The Compounding Effect

Every new connected system increases profile value for all integrations.

More Surfaces

New agents and products call the same profile. Users maintain it more willingly.

Richer Feedback

Usage patterns validate the structure. Repeated matches show what's modeled well.

Higher Value

More connected systems mean each profile serves more scenarios. Edge comes from network effects.

Next step

Start From the Right EntrypointPick the path that fits your role.

Developers start with Context API. Enterprises start with partnership. Agent builders start with OpenClaw skills.

View DocsExplore Enterprise