Nexus Agents

Orchestrate multiple AI experts from a single interface

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Why Nexus Agents?

One tool to coordinate Claude, OpenAI, Gemini, and Ollama. Instead of switching between AI tools, nexus-agents routes your tasks to specialized experts that collaborate on complex problems.

You: "Review this code for security and performance"
     ↓
Tech Lead analyzes → delegates to Security Expert + Code Expert
     ↓
Combined response with findings from both experts

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Quick Start (2 minutes)

1. Install

npm install -g nexus-agents

2. Verify

nexus-agents doctor

3. Use

With Claude Code (recommended):

nexus-agents setup   # Auto-configures MCP server

Then in Claude: "orchestrate: Review this PR for issues"

Standalone CLI:

export ANTHROPIC_API_KEY=your-key
nexus-agents orchestrate "Explain the architecture of this codebase"

Security: In default MCP mode, the server communicates only via stdio with the parent process (no network exposure). The REST API (opt-in) auto-generates an API key on first start. For network-exposed deployments, set NEXUS_AUTH_ENABLED=true. See SECURITY.md.

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What It Does

Feature	Description
Multi-Expert Orchestration	Tech Lead coordinates Code, Security, Architecture, Testing, Documentation, DevOps, and Research experts
Model Routing	Routes tasks to the best model based on capability (reasoning, speed, context size, budget)
Consensus Voting	Multi-agent voting on proposals with sycophancy detection
Workflow Automation	9 built-in YAML templates for code review, security audit, and more
Research Registry	Track and discover academic papers and implementation techniques
Memory System	Typed memory backends (core, episodic, semantic, procedural, resource)
MCP Integration	21 tools available for Claude Desktop and Claude Code

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Available Experts

Expert	Specialization
Code	Implementation, debugging, optimization
Architecture	System design, patterns, scalability
Security	Vulnerability analysis, secure coding
Testing	Test strategies, coverage, test generation
Documentation	Technical writing, API docs
DevOps	CI/CD, deployment, infrastructure
Research	Literature review, state-of-the-art analysis
PM	Product management, requirements, priorities
UX	User experience, usability, accessibility

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Supported Providers

Nexus-agents integrates with major AI providers and routes tasks to the best available model. We test with the latest models from each provider.

Provider	Best For
Anthropic (Claude)	Complex reasoning, analysis
OpenAI (GPT, o-series)	Code generation, reasoning
Google (Gemini)	Long context, multimodal
Ollama (local models)	Local inference, privacy

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CLI Commands

nexus-agents                    # Start MCP server (default)
nexus-agents doctor             # Check installation health
nexus-agents setup              # Configure Claude CLI integration
nexus-agents orchestrate "..."  # Run task with experts
nexus-agents vote "proposal"    # Multi-agent consensus voting
nexus-agents review <pr-url>    # Review a GitHub PR
nexus-agents expert list        # List available experts
nexus-agents workflow list      # List workflow templates
nexus-agents config init        # Generate config file
nexus-agents fitness-audit      # Run fitness score audit
nexus-agents research query     # Query research registry
nexus-agents --help             # Full command list

See docs/ENTRYPOINTS.md for the complete CLI reference (28+ commands).

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MCP Tools

When running as an MCP server, 21 tools are available:

Tool	Description
orchestrate	Task orchestration with Orchestrator coordination
create_expert	Create a specialized expert agent
execute_expert	Execute a task using a created expert
run_workflow	Execute a workflow template
delegate_to_model	Route task to optimal model
consensus_vote	Multi-model consensus voting on proposals
list_experts	List available expert types
list_workflows	List available workflow templates
research_query	Query research registry (status, overlap, stats, search)
research_add	Add paper to registry by arXiv ID
research_discover	Discover papers/repos from external sources
research_analyze	Analyze registry for gaps, trends, coverage
research_catalog_review	Review auto-cataloged research references
memory_query	Query across all memory backends
memory_stats	Memory system statistics dashboard
weather_report	Multi-CLI performance weather report
issue_triage	Triage GitHub issues with trust classification
run_graph_workflow	Execute graph-based workflows with checkpointing
execute_spec	Execute AI software factory spec pipeline
registry_import	Generate draft model registry entry

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Configuration

Environment Variables:

Variable	Description
ANTHROPIC_API_KEY	Claude API key
OPENAI_API_KEY	OpenAI API key
GOOGLE_AI_API_KEY	Gemini API key
NEXUS_LOG_LEVEL	Log level (debug/info/warn/error)

Generate config file:

nexus-agents config init   # Creates nexus-agents.yaml

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Documentation

Topic	Link
Full CLI Reference	docs/ENTRYPOINTS.md
Architecture	docs/architecture/README.md
Contributing	CONTRIBUTING.md
Coding Standards	CODING_STANDARDS.md
Quick Start Guide	QUICK_START.md

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Development

git clone https://github.com/williamzujkowski/nexus-agents.git
cd nexus-agents
pnpm install
pnpm build
pnpm test

Requirements: Node.js 22.x LTS, pnpm 9.x

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Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feat/amazing-feature)
3. Commit with conventional commits (feat(scope): add feature)
4. Open a Pull Request

See CONTRIBUTING.md for details.

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License

MIT - See LICENSE

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Built with Claude Code