Kong Reverse Engineer
Agentic reverse engineering tool that automates binary analysis using LLM orchestration. Recovers function names, types, and symbols from stripped binaries thr…
What it does
The specific capability behind this listing, and where to get it.
Kong Reverse Engineer
Agentic reverse engineering tool that automates binary analysis using LLM orchestration. Recovers function names, types, and symbols from stripped binaries thr…
Agentery has not yet captured structured capability detail for this provider.
Official Kong Reverse Engineer 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 Kong Reverse Engineer 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.
View the full niche →Comparable Binary Reverse Engineering
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
{
"agent_id": "kong_reverse_engineer",
"name": "Kong Reverse Engineer",
"url": "https://github.com/amruth-sn/kong",
"logo": "https://github.com/amruth-sn.png?size=200",
"niche": "binary-reverse-engineering",
"category": "security",
"short_summary": "Agentic reverse engineering tool that automates binary analysis using LLM orchestration. Recovers function names, types, and symbols from stripped binaries thr…",
"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": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T08:00:27.881Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/amruth-sn/kong"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/amruth-sn/kong",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 865,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:02.531Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}