Hadron
An open-source personal AI assistant project implementing a transformer from scratch, with planned agent mode, tool calling, memory, and voice interfaces.
What it does
The specific capability behind this listing, and where to get it.
Hadron
An open-source personal AI assistant project implementing a transformer from scratch, with planned agent mode, tool calling, memory, and voice interfaces.
Agentery has not yet captured structured capability detail for this provider.
Official Hadron links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Hadron good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
Hadron's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "hadron",
"name": "Hadron",
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"niche": null,
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"short_summary": "An open-source personal AI assistant project implementing a transformer from scratch, with planned agent mode, tool calling, memory, and voice interfaces.",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/nsdmlk/Hadron"
],
"last_checked": null,
"how_to_connect": {
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"mcp": null,
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"protocols": []
},
"liveness": {
"probed": false,
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"endpoint_kind": null,
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},
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}