
Ai Interview System
开源智能模拟面试系统,面向 AI 应用开发工程师求职者。上传简历和岗位 JD 后,通过 RAG 检索与 LangGraph Agent 生成问题、追问、评分并生成面试报告。
What it does
The specific capability behind this listing, and where to get it.
Ai Interview System
开源智能模拟面试系统,面向 AI 应用开发工程师求职者。上传简历和岗位 JD 后,通过 RAG 检索与 LangGraph Agent 生成问题、追问、评分并生成面试报告。
Agentery has not yet captured structured capability detail for this provider.
Official Ai Interview System 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 Ai Interview System 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 →Ai Interview System's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "ai_interview_system",
"name": "Ai Interview System",
"url": "https://github.com/jiuguandemao/ai-interview-system",
"logo": "https://github.com/jiuguandemao.png?size=200",
"niche": "ai-interview-coach",
"category": "services",
"short_summary": "开源智能模拟面试系统,面向 AI 应用开发工程师求职者。上传简历和岗位 JD 后,通过 RAG 检索与 LangGraph Agent 生成问题、追问、评分并生成面试报告。",
"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": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or paid plans are shown on the repository homepage.",
"confidence": "medium",
"source_url": "https://github.com/jiuguandemao/ai-interview-system",
"checked_at": "2026-10-24T01:09:23.310Z",
"source_kind": "vendor",
"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/jiuguandemao/ai-interview-system"
],
"last_checked": "2026-10-24",
"profile_checked": null,
"price_checked": "2026-10-24",
"how_to_connect": {
"website": "https://github.com/jiuguandemao/ai-interview-system",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 395,
"uptime_7d": 1,
"checked_at": "2026-10-30T02:31:16.654Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}