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Access Github

github.com/NVIDIA/AgentIQ official repository

Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows

infrastructureSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Access Github

Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows

Agent workflows defined in YAML/Python, agent profiles, prompts, third-party tool integrations → Instrumented/optimized agent workflows, profiling and observability traces, evaluation results, optimized prompts and configurations, MCP servers
LangChainLlamaIndexCrewAIMicrosoft Semantic KernelGoogle ADKAgnoLangGraphLangSmithMCPA2Aautonomy: infrastructure
Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Access Github good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

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.

Observed commercial pricenone
NicheMCP Server Ecosystem
Price benchmarknot applicable
What to compare instead

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Comparable MCP Server Ecosystem

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "access_github",
  "name": "Access Github",
  "url": "http://github.com/NVIDIA/AgentIQ",
  "logo": "https://agentery.com/logos/CP-Z2FHNP.svg",
  "niche": "mcp-server-ecosystem",
  "category": "developer-tools-infra",
  "short_summary": "Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows",
  "task_performed": "Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows",
  "inputs_accepted": [
    "Agent workflows defined in YAML/Python",
    "agent profiles",
    "prompts",
    "third-party tool integrations"
  ],
  "outputs_produced": [
    "Instrumented/optimized agent workflows",
    "profiling and observability traces",
    "evaluation results",
    "optimized prompts and configurations",
    "MCP servers"
  ],
  "integrations_available": [
    "LangChain",
    "LlamaIndex",
    "CrewAI",
    "Microsoft Semantic Kernel",
    "Google ADK",
    "Agno",
    "LangGraph",
    "LangSmith",
    "NVIDIA Dynamo",
    "Model Context Protocol (MCP)",
    "Agent-to-Agent (A2A) Protocol",
    "FastMCP",
    "Tavily",
    "Redis",
    "Microsoft Agent 365",
    "NeMo Guardrails",
    "PyPI"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "A2A"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-26T11:25:59.646Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "2.4k GitHub stars",
    "681 forks",
    "Apache-2.0 license",
    "NVIDIA brand",
    "SECURITY.md",
    "Code of conduct"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "http://github.com/NVIDIA/AgentIQ",
    "https://developer.nvidia.com/nemo-agent-toolkit"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "http://github.com/NVIDIA/AgentIQ",
    "docs": "http://github.com/documentation",
    "mcp": {
      "endpoint": "http://github.com/mcp.json",
      "transport": "http",
      "config_snippet": "{\n  \"mcpServers\": {\n    \"access_github\": {\n      \"url\": \"http://github.com/mcp.json\"\n    }\n  }\n}"
    },
    "a2a": null,
    "api": {
      "docs_url": "http://github.com/developer",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1341,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:30:11.267Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}