By navox-labs
Orchestrate a full software sprint cycle with 15 AI specialist agents—from product strategy and architecture through build, review, QA, security audit, and shipping—with human-in-the-loop checkpoints and session persistence for pause-and-resume.
Onboard the full 15-agent engineering team and guide the user through the sprint cycle workflow.
Orchestrate a coordinated engineering team from .claude/agents/ to complete a task end-to-end. Supports FULL, QUICK, and HOTFIX sprint modes. Use when a task requires more than one agent or when you're not sure which agent to pick.
Principal Software Architect that produces system designs, auth models, and team coordination. Trigger on architecture, system design, tech stack, scalability, auth strategy, or when the user doesn't know which agent they need.
Session persistence agent that saves and restores task context across sessions, enabling pause-and-resume for any sprint. Trigger on save context, restore context, session handoff, pause, resume, or context snapshot.
Senior DevOps Engineer that builds CI/CD pipelines, Docker containers, deployment strategies, and infrastructure setup. Trigger on CI/CD, Docker, deployment, pipeline, infrastructure, GitHub Actions, Railway, or Vercel.
Principal Software Architect that produces system designs, auth models, and team coordination. Trigger on architecture, system design, tech stack, scalability, auth strategy, or when the user doesn't know which agent they need.
Session persistence agent that saves and restores task context across sessions, enabling pause-and-resume for any sprint. Trigger on save context, restore context, session handoff, pause, resume, or context snapshot.
Senior DevOps Engineer that builds CI/CD pipelines, Docker containers, deployment strategies, and infrastructure setup. Trigger on CI/CD, Docker, deployment, pipeline, infrastructure, GitHub Actions, Railway, or Vercel.
Senior Full Stack Engineer that builds production code with unit tests from architecture docs and UX specs. Trigger on build, implement, code, debug, refactor, full stack, frontend, backend, or auth implementation.
Browse and install individual Navox agents. Trigger on install agent, add agent, which agent do I need, get architect, get security.
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
15 AI specialists. One sprint cycle. Zero dependencies. Think. Plan. Build. Review. Test. Ship. Reflect.
One plugin. 15 agents. Full sprint cycle. Install in 30 seconds — no dependencies, no platform, no login.
/plugin marketplace add https://github.com/navox-labs/agents
A Claude Code plugin and a Python CLI for autonomous orchestration. Install the plugin for interactive sprints. Use the SDK to run your team while you sleep.
When I heard AI will replace engineers, I wanted to find out how. Not in theory — in practice. How does a non-human replace humans in an engineering capacity?
I'm Nahrin, founder and builder at Navox Labs. Earlier in my life I worked in building architecture — reviewing blueprints, designing structures, making sure everything held together before a single brick was laid. I'm the only architect I know who transitioned to full-time software engineering without a formal CS education. I told myself: once an architect, always an architect. I understood tech through a builder's lens — scalability, optimization, reliable structure.
I've been building physical products for 16 years and tech products for 7. Twenty-three years of building, and I never thought AI could replace my ability to make decisions. It can't. But it can execute them.
Navox Agents is how I ship.
As a solo founder, I needed a reliable team that requires minimum management. Not a chatbot I have to babysit. Not a prompt I cross my fingers on. A team of specialists with defined roles, handoff contracts, quality gates, and the discipline to self-evaluate before passing work downstream.
I believe a single builder with the right tooling can move faster than a traditional team. This is my answer.
Fully open source. A Claude Code plugin for interactive sprints and a Python CLI for autonomous orchestration. I combined these two because I want this to reach as many people as possible. These agents are built with best practices from Anthropic themselves. They self-evaluate for high reliability. They're orchestrated and work exactly like a team of specialists.
This is an open-source software factory. I use it every day. I'm sharing it because these tools should be available to everyone.
Fork it. Improve it. Make it yours.
And if you want to hate on free open-source software — you're welcome to, but I'd rather you just try it first.
Founders and CEOs — especially technical ones who still want to ship. Run a full sprint while you focus on strategy, fundraising, or sleep.
First-time Claude Code users — structured roles instead of a blank prompt. Instead of figuring out what to ask Claude, just tell the team what to build.
Tech leads and staff engineers — orchestrated specialist agents that follow your architecture decisions, not fight them. Sprint chains enforce the same discipline you'd expect from a senior team.
Solo builders — one person, 15 specialists. The math works.
$ /agency-run FULL Build a cookie clicker game with crab theme
→ Strategist: "Single HTML file is smart — no build step, instant deploy.
But cookie clickers need prestige mechanics to retain players. Adding to spec."
→ Spec Writer: 7-section spec with 12 acceptance criteria
→ Architect: Component tree, state machine, CSS custom properties for theming
→ Gate 1: You review. You approve.
→ UX + Security: Running in parallel...
→ Full Stack: 1,330 lines written. All acceptance criteria met.
→ Checkpoint: App running at localhost:3000 — LGTM / FEEDBACK / STOP?
→ Reviewer: 7 specialists. 2 issues found. Auto-fixed.
→ QA: 6 bugs caught. 6 bugs fixed. 14 tests passing.
→ Security: No vulnerabilities. Auth N/A. Cleared.
→ Shipper: v1.0.0 tagged. PR #1 created.
→ Retro: 4 learnings captured to project memory.
Total time: 7 minutes. Human edits: 0.
nom.sh — one prompt, 7 minutes:
A crab cookie clicker. 1,330 lines. 6 bugs caught by QA. Zero human edits. See the code
npx claudepluginhub navox-labs/agents --plugin navox-agentsAutonomous multi-agent development framework with spec-driven sprints and convergent iteration
Structured project planning and execution through brainstorm, spec, and build phases across three execution tiers: sequential, delegated sub-agents, and full agent teams
Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 30 hook scripts across 19 events, auto-learning pipeline, hook profiles, and multi-language coding standards
The only Claude Code plugin that verifies AI-generated code against its own design specs.
Give soul to your workflow. 58 AI-powered skills across 17 roles — PM, Dev, Backend, Frontend, QA, UX, Data, Detect, WordPress, Release, Security, DevOps, and Core. Spec-to-ship pipeline: scaffold, implement, test, secure, deploy. Features two-phase workflow with human approval, quality-reviewer agent, token optimization, and continuous improvement via LEARN.md system.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review