SemaClaw: A Step Towards General-Purpose Personal AI Agents through Harness Engineering explores An open-source framework for building general-purpose personal AI agents through harness engineering, focusing on orchestration, safety, and memory.. Commercial viability score: 5/10 in AI Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineering
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Agent Handoff
Canonical ID semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineering | Route /paper/semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineering
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineeringMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11548"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "SemaClaw: A Step Towards General-Purpose Personal AI Agents through Harness Engineering",
"normalized_query": "2604.11548",
"route": "/paper/semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineering",
"paper_ref": "semaclaw-a-step-towards-general-purpose-personal-ai-agents-through-harness-engineering",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 5.0
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