
Navox Agents
Orchestrates a team of 15 specialist AI agents to run a full software engineering sprint cycle (think, plan, build, review, test, ship, reflect) within Claude…
What it does
The specific capability behind this listing, and where to get it.
Orchestrates a team of 15 specialist AI agents to run a full software engineering sprint cycle (think, plan, build, review, test, ship, reflect) within Claude Code
Official Navox Agents 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 Navox Agents 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 Autonomous Code Generation
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": "navox_agents",
"name": "Navox Agents",
"url": "https://github.com/navox-labs/agents",
"logo": "https://agentery.com/logos/CP-BB2DKJ-128.png",
"niche": "autonomous-code-generation",
"category": "developer-tools-infra",
"short_summary": "Orchestrates a team of 15 specialist AI agents to run a full software engineering sprint cycle (think, plan, build, review, test, ship, reflect) within Claude…",
"task_performed": "Orchestrates a team of 15 specialist AI agents to run a full software engineering sprint cycle (think, plan, build, review, test, ship, reflect) within Claude Code",
"inputs_accepted": [
"Natural language build prompts/feature requests via Claude Code plugin commands or Python CLI"
],
"outputs_produced": [
"Written code",
"specs",
"architecture designs",
"code reviews",
"QA tests",
"tagged releases",
"pull requests",
"and retrospective learnings"
],
"integrations_available": [
"Claude Code",
"Python CLI",
"GitHub"
],
"protocols_or_interfaces": [],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "sometimes required",
"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": "2026-07-26T08:54:39.930Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"MIT license",
"13 GitHub stars",
"case studies (crab cookie clicker, PipeWar game)",
"built with Anthropic best practices"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/navox-labs/agents"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/navox-labs/agents",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"navox_agents\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2293,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:36:29.167Z",
"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."
}