Nexus Agents

The intelligence layer between you and your AI coding tools

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Why Nexus Agents?

nexus-agents makes your AI coding tools work together intelligently. It coordinates Claude, Codex, Gemini, and OpenCode — routing each task to the best model using data-driven algorithms, validating outputs through multi-model consensus voting, and continuously improving through outcome-driven learning. Connect it to any MCP-compatible editor (Claude Code, Cursor, VS Code) and it handles the rest.

What it does for you:

• Routes intelligently — LinUCB bandit + TOPSIS scoring + adaptive bonuses pick the right model for each task, learned from real outcomes
• Enforces quality — consensus voting (6 strategies including Bayesian higher-order), QA review loops, security scans with SARIF
• Learns over time — 5 memory backends (session, belief, agentic, adaptive, typed) track what works, feeding routing, planning, and research decisions
• Runs a full dev pipeline — research papers, plan architecture, vote on proposals, decompose into tasks, implement, QA review, ship
• Connects everything — 30 MCP tools, 9 research sources, graph workflows, checkpoint/resume, GitHub/GitLab issue tracking

You: "Review this code for security and performance"
     ↓
CompositeRouter selects best CLI per category → Security Expert + Code Expert
     ↓
Consensus-validated response — outcomes feed back into routing for next time

What it is NOT:

• Not an autonomous agent — humans stay in the loop via votes and harness mode
• Not a chat framework — it orchestrates real CLI tools with real file I/O
• Not a model API proxy — the intelligence IS the routing, quality gates, and learning

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Architecture at a Glance

                         ┌─────────────────────────────────┐
                         │         Your IDE / CLI           │
                         │  (Claude Code, Cursor, VS Code)  │
                         └──────────────┬──────────────────┘
                                        │ MCP Protocol
                         ┌──────────────▼──────────────────┐
                         │       nexus-agents server        │
                         │                                  │
                         │  ┌──────────┐  ┌──────────────┐ │
                         │  │ 30 MCP   │  │ Dev Pipeline  │ │
                         │  │ Tools    │  │ research→plan │ │
                         │  └────┬─────┘  │ →vote→impl   │ │
                         │       │        │ →QA→ship      │ │
                         │  ┌────▼─────┐  └──────────────┘ │
                         │  │Composite │                    │
                         │  │Router    │  ┌──────────────┐ │
                         │  │(9 stages)│  │ 5 Memory     │ │
                         │  └────┬─────┘  │ Backends     │ │
                         │       │        └──────────────┘ │
                         └───────┼─────────────────────────┘
                    ┌────────────┼────────────┐
                    ▼            ▼             ▼
               ┌────────┐  ┌────────┐   ┌──────────┐
               │ Claude │  │ Gemini │   │  Codex   │ ...
               │  CLI   │  │  CLI   │   │   CLI    │
               └────────┘  └────────┘   └──────────┘

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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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Capabilities

Category	Details
Intelligent Routing	9-stage CompositeRouter: budget-aware, LinUCB bandit, TOPSIS multi-criteria, preference-trained, weather-adaptive. Learns from outcomes.
Multi-Expert Orchestration	11 built-in expert types (code, architecture, security, testing, docs, devops, research, PM, UX, infrastructure, data-visualization) coordinated by TechLead/Orchestrator agents
Consensus Voting	6 strategies: simple_majority, supermajority, unanimous, higher_order (Bayesian correlation-aware), opinion_wise, proof_of_learning
Development Pipeline	Research → Plan → Vote → Decompose → Implement → QA → Security. Three modes: autonomous, harness (caller implements), dry-run
Memory & Learning	5 user-facing backends (session, belief, agentic, adaptive, typed). Cross-session persistence. Outcomes feed routing.
Research System	9 discovery sources (arXiv, GitHub, Semantic Scholar, etc). Auto-catalog, quality scoring, synthesis into topic clusters
Security	Sandboxing (Docker/policy), trust classification, SARIF parsing, input sanitization, red team pipeline, firewall
Graph Workflows	DAG-based workflow execution with checkpoint/resume, state reduction, and event hooks
30 MCP Tools	Agent management, workflow execution, research, memory, codebase intelligence, repo analysis, consensus, operations

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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
Infrastructure	Server management, bare metal, networking
Data Viz	Charts, dashboards, visual data presentation

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Supported CLIs & Providers

Nexus-agents routes tasks through 5 CLI adapters, each connecting to major AI providers:

CLI	Provider	Best For
claude	Anthropic (Claude)	Complex reasoning, analysis
gemini	Google (Gemini)	Long context, multimodal
codex	OpenAI (Codex CLI)	Code generation, reasoning
codex-mcp	OpenAI (Codex MCP)	MCP-native Codex integration
opencode	Custom OpenAI-compat	Custom endpoints, local models

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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, the following 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
memory_write	Write to typed memory backends
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
query_trace	Query execution traces for observability
repo_analyze	Analyze GitHub repository structure
repo_security_plan	Generate security scanning pipeline for a repo
research_add_source	Add non-paper source (GitHub repo, tool, blog)
research_synthesize	Synthesize registry into topic clusters with themes
extract_symbols	Extract code symbols from source files for analysis
search_codebase	Search codebase for patterns, symbols, or text
run_dev_pipeline	Full dev pipeline: research, plan, vote, implement, QA
run_pipeline	Execute a pipeline plugin by name with typed input

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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