Boxlite
Embeddable, stateful micro-VMs with hardware isolation for AI agents. Boots in milliseconds, runs locally on laptop, cluster, or customer machine with no daemo…
What it does
The specific capability behind this listing, and where to get it.
Boxlite
Embeddable, stateful micro-VMs with hardware isolation for AI agents. Boots in milliseconds, runs locally on laptop, cluster, or customer machine with no daemo…
Agentery has not yet captured structured capability detail for this provider.
Official Boxlite links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Boxlite good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Sandboxed Code Execution
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
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"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
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"monthly_usd": null,
"headline": "Free",
"summary": "BoxLite is listed with a $0 offer for its local-first embedded AI-agent runtime.",
"confidence": "medium",
"source_url": "https://boxlite.ai/pricing",
"checked_at": "2026-07-28T04:26:56.107Z",
"amount": null,
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"plans": [
{
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]
}
],
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},
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"evidence_quality": "unclear",
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"regulated_data_suitability": "unclear",
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],
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"how_to_connect": {
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},
"liveness": {
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"endpoint_kind": "site",
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"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:42.103Z",
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},
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}