The Sovereign Multi-Agent Runtime & Swarm Fabric.
The open-core multi-agent orchestration fabric. Build, evaluate, trace, and deploy autonomous self-improving swarms on your codebase.
state.converged = true;
state.confidence = 0.998;sha256:4f8e2a1b9c7d0e3f5a6b8c1from nexos.runtime import StateGraph2from nexos.swarm import SwarmCluster34# 1. Define multi-agent state graph5graph = StateGraph()67@graph.node("researcher")8def retrieve_signals(state: dict) -> dict:9 return {"hypotheses": ["Vector state converged"]}1011@graph.node("auditor")12def audit_consensus(state: dict) -> dict:13 return {"status": "VERIFIED", "risk_score": 0.002}1415graph.set_entry_point("researcher")16graph.add_edge("researcher", "auditor")17graph.add_edge("auditor", "__END__")1819# 2. Execute with zero-overhead durable checkpointing20run = graph.execute({"task": "Sub-millisecond verification"})21print("Converged State:", run["state"])[NexosGraph] Step 1: researcher -> OK (0.34ms)
[NexosGraph] Step 2: auditor -> VERIFIED (0.28ms)
[Checkpoint] Saved checkpoint_id: cp-094-8bf2 (0.12ms)
Converged State: {'task': 'Sub-millisecond verification', 'status': 'VERIFIED', 'risk_score': 0.002}From First Prototype to Enterprise Production
The unified control plane designed for every phase of engineering resilient, autonomous multi-agent systems.
Prototype & Build
Composable Primitives & Cyclic State Graphs
Construct stateful multi-agent DAGs with durable checkpoints, branching conditions, and model-agnostic LLM adapters in Python or TypeScript.
from nexos.runtime import StateGraph
graph = StateGraph()
graph.add_node("agent_researcher", retrieve_context)
graph.add_node("agent_writer", synthesize_draft)
graph.add_edge("agent_researcher", "agent_writer")
graph.set_entry_point("agent_researcher")
app = graph.compile()Autonomous Pipeline: Repository to Sovereign Deployment
Deterministic 4-stage pipeline translating codebases into resilient, self-governing multi-agent swarms.
Parses raw GitHub repos into abstract syntax trees, extracts function signatures, call-graphs, and test suites.
Mathematical Consensus Architectures
Choose between peer-to-peer conflict-free replicated data types or Byzantine-tolerant Queen-Worker hierarchies.
Coordinator-Free Eventual Consistency
Nodes gossip vector clocks across a peer-to-peer mesh. Concurrent agent mutations to state fields are merged deterministically using commutative semi-lattice join operations with zero leader bottlenecks.
STEM & Strategic Management Ingestion Fabric
Agents reasoning across rigorous mathematical proofs and high-level C-suite consulting strategy.
Universal Embeddings & Memory Bank
Cross-attention state projections bridge formal algorithmic precision with strategic enterprise execution.
Sovereign by Design. Zero Vendor Lock-In.
The core NEXOS runtime is fully open-source under the Apache 2.0 license. Run local models on developer laptops, self-host inside private clouds, or deploy serverless across multi-cloud regions.
Direct tensor state bridges for local gradient evaluators
Native Transformers pipelines & tokenizer interop
PagedAttention serving with continuous batching
Zero-config local model execution with Llama 3 & Mistral
Native support for DeepSeek R1 & V3 reasoning tokens
Full bidirectional migration adapters & LCEL converters
100% Apache 2.0 License & Transparent Codebase
Every state machine algorithm, CRDT register, and Tree-sitter AST parser is open on GitHub. Inspect the source, run on-premise, and fork without permission.
One Protocol. Seamless Integration into Cursor, Claude Desktop & Zed.
NEXOS exposes an enterprise-grade Model Context Protocol server. Connect state graphs, active swarms, and shared memory banks directly to your AI code editors without writing custom bridge code.
{
"mcpServers": {
"nexos": {
"command": "npx",
"args": [
"-y",
"@nexos/mcp-server"
],
"env": {
"NEXOS_API_KEY": "nexos_live_••••••••••••••••••••••••",
"NEXOS_TRANSPORT": "stdio",
"NEXOS_ENV": "production"
}
}
}
}Upgrade to Developer Pro ($49/mo) or sign in as Admin to inject your live secret token.
Guaranteed State Determinism & Bounded Latencies
lim_(t→∞) E[||S_(t+1) - S_t||_H] ≤ γ · ||Ω_t||
Guarantees convergence across cyclic graph steps under bounded stochastic disturbance vectors.
L_p99 ≤ W_q + (1/μ) ln(100) ≤ 45.0ms
Sub-millisecond trace ingestion waterfalls with rigorously proven 45ms P99 upper bounds.
CHR ≥ 0.68, T_cache ≤ 2.2ms
Reduces centralized inference spend by 68%+ via client-side edge WASM caching and local offloading.
Trusted by Principal AI Architects & Distributed Systems Engineers
Proven across quantitative hedge funds, Fortune 500 platform teams, air-gapped biopharma swarms, and autonomous robotics.
“NexosGraph replaced our brittle sequential agent chains. Cyclic state rollback with sub-millisecond durable checkpoints cut our regulatory trade reconciliation failures to absolute zero.”
“We run air-gapped NexosSwarm clusters over 4,000 internal clinical study endpoints. The CRDT state synchronization resolved multi-node synthesis conflicts without a central coordinator.”
“The Queen-Worker quadratic voting in NexosHive eliminated hallucinated market sentiment anomalies. P99 state latency clocked at 28ms under extreme market volatility.”
“Native MCP streaming via stdio and SSE made integrating Nexos directly into Cursor and Zed effortless. Our 850 software engineers generate verified pull requests 3.8x faster.”
“Git-Link Tree-sitter AST extraction fine-tuned our avionics agent harness to 99.4% test pass rates on first generation. DSPy MIPRO integration is a game-changer.”
“Zero model lock-in. We dispatch heavy verification steps to Claude 3.5 Sonnet, real-time extraction to Gemini 2.0 Flash, and audit logs to local vLLM with one unified StateGraph.”
“HIPAA compliance requires complete memory shredding after triage synthesis. Nexos CRDT registers provide mathematical formal guarantees of state boundary isolation.”
“Sub-millisecond trace waterfalls allowed us to debug decentralized edge agent collisions across 300 automated warehouse robots without interrupting operational flow.”
“NexosStudio visual DAG designer exports fully self-contained Dockerized packages. No black box cloud dependency; our team downloads the zip and tests locally via Ollama in seconds.”
“The mathematical rigor behind Nexos state determinism gave our executive investment committee the confidence to deploy multi-million dollar hedging strategies to agent swarms.”
“Voice agent latency dropped from 420ms to 78ms when we migrated our routing mesh to NexosSwarm peer gossip. Customers thought they were speaking to a live specialist.”
“BFT consensus in NexosHive withstood deliberate adversarial Byzantine poisoning simulations across 12 decentralized nodes without corrupting the state root.”
“The npm and Python SDK parity is immaculate. Our frontend team builds state machines in TypeScript, our data science team implements workers in Python, and they share CRDT states seamlessly.”
“Routing optimization across 14,000 daily freight containers now runs on a self-healing Nexos swarm. When an edge node drops connection, work-stealing reassigned tasks in 14ms.”
“Black Friday traffic spiked to 95,000 requests per minute. Nexos serverless edge nodes handled the surge with 0 downtime and 74% semantic cache hit rates on repeat cart queries.”
“Having Tree-sitter AST parsing baked into the repo training pipeline meant our internal API specs were ingested in seconds without manually crafting OpenAPI function schemas.”
“We audited the open-source Nexos codebases before enterprise adoption. Clean type contracts, explicit memory bounds, and zero analytics telemetry made security sign-off immediate.”
“We deliver customer agent swarms in half the time compared to legacy LangGraph setups. The visual studio, MCP tooling, and one-click export give our clients total ownership.”
“Forecasting grid demand fluctuations across 60 solar farms requires sub-minute convergence across decentralized nodes. NexosSwarm handled the distributed optimization flawlessly.”
“In mission-critical defense contexts, nondeterministic LLM loops are fatal. Nexos state graphs enforce hard cycle bounds and cryptographic trace verification.”
“The multi-disciplinary training engine ingesting McKinsey and BCG strategic frameworks alongside technical arXiv papers enabled our supply-chain agents to recommend executive-grade trade plans.”
“The Admin Superuser bypass and role-based access control allowed our compliance officers to inspect real-time swarm decisions without interrupting running client portfolios.”
“Accelerated our molecular docking analysis pipelines. By treating protein folding hypotheses as state graph nodes with conditional branches, synthesis ran 4.2x faster.”
“Automated container routing and customs clearance swarms running 24/7. Nexos reduced our off-peak serverless compute footprint by 61% through intelligent local worker offloading.”
“The MCP server configuration worked out of the box with zero tinkering. Our developers simply pointed Cursor to `@nexos/mcp-server` and started steering live swarms in minutes.”
“State-transition determinism formula S_(t+1) = delta(S_t, A_t, Omega_t) isn’t just marketing copy—it is mathematically verified in our hardware-in-the-loop automotive test cells.”
“We run multi-agent sentiment distillation on 50,000 news articles every morning. NexosHive Queen nodes synthesized conflicting market opinions into an actionable risk report in 4 seconds.”
“Stripe integration was instantaneous, the developer dashboard is clean, and the ability to download full runnable ZIP code packages without being trapped in SaaS lock-in won our team over.”
“Formal verification of graph DAG safety constraints prevents goal drift across autonomous multi-turn loops. Nexos is the gold standard for responsible agent deployment.”
“Processed over 12 million PIX transactions with fraud-detection agent swarms powered by Nexos CRDT memory. Latency overhead was negligible at 1.8 milliseconds per evaluation.”
“The combination of Tree-sitter code mining and Bayesian prompt parameter tuning allowed us to train repo-specific agent harnesses that outperform baseline LLMs by 35% on Vitest.”
“Deployed on factory-floor edge PCs communicating over low-bandwidth private mesh. NexosSwarm synchronizes machine diagnostics without ever touching external public clouds.”
“Nexos is the operating system for the next decade of autonomous software. From the sub-millisecond trace waterfalls to the mathematical CRDT convergence, everything is engineered to perfection.”
“NexosGraph replaced our brittle sequential agent chains. Cyclic state rollback with sub-millisecond durable checkpoints cut our regulatory trade reconciliation failures to absolute zero.”
“We run air-gapped NexosSwarm clusters over 4,000 internal clinical study endpoints. The CRDT state synchronization resolved multi-node synthesis conflicts without a central coordinator.”
“The Queen-Worker quadratic voting in NexosHive eliminated hallucinated market sentiment anomalies. P99 state latency clocked at 28ms under extreme market volatility.”
“Native MCP streaming via stdio and SSE made integrating Nexos directly into Cursor and Zed effortless. Our 850 software engineers generate verified pull requests 3.8x faster.”
“Git-Link Tree-sitter AST extraction fine-tuned our avionics agent harness to 99.4% test pass rates on first generation. DSPy MIPRO integration is a game-changer.”
“Zero model lock-in. We dispatch heavy verification steps to Claude 3.5 Sonnet, real-time extraction to Gemini 2.0 Flash, and audit logs to local vLLM with one unified StateGraph.”
“HIPAA compliance requires complete memory shredding after triage synthesis. Nexos CRDT registers provide mathematical formal guarantees of state boundary isolation.”
“Sub-millisecond trace waterfalls allowed us to debug decentralized edge agent collisions across 300 automated warehouse robots without interrupting operational flow.”
“NexosStudio visual DAG designer exports fully self-contained Dockerized packages. No black box cloud dependency; our team downloads the zip and tests locally via Ollama in seconds.”
“The mathematical rigor behind Nexos state determinism gave our executive investment committee the confidence to deploy multi-million dollar hedging strategies to agent swarms.”
“Voice agent latency dropped from 420ms to 78ms when we migrated our routing mesh to NexosSwarm peer gossip. Customers thought they were speaking to a live specialist.”
“BFT consensus in NexosHive withstood deliberate adversarial Byzantine poisoning simulations across 12 decentralized nodes without corrupting the state root.”
“The npm and Python SDK parity is immaculate. Our frontend team builds state machines in TypeScript, our data science team implements workers in Python, and they share CRDT states seamlessly.”
“Routing optimization across 14,000 daily freight containers now runs on a self-healing Nexos swarm. When an edge node drops connection, work-stealing reassigned tasks in 14ms.”
“Black Friday traffic spiked to 95,000 requests per minute. Nexos serverless edge nodes handled the surge with 0 downtime and 74% semantic cache hit rates on repeat cart queries.”
“Having Tree-sitter AST parsing baked into the repo training pipeline meant our internal API specs were ingested in seconds without manually crafting OpenAPI function schemas.”
“We audited the open-source Nexos codebases before enterprise adoption. Clean type contracts, explicit memory bounds, and zero analytics telemetry made security sign-off immediate.”
“We deliver customer agent swarms in half the time compared to legacy LangGraph setups. The visual studio, MCP tooling, and one-click export give our clients total ownership.”
“Forecasting grid demand fluctuations across 60 solar farms requires sub-minute convergence across decentralized nodes. NexosSwarm handled the distributed optimization flawlessly.”
“In mission-critical defense contexts, nondeterministic LLM loops are fatal. Nexos state graphs enforce hard cycle bounds and cryptographic trace verification.”
“The multi-disciplinary training engine ingesting McKinsey and BCG strategic frameworks alongside technical arXiv papers enabled our supply-chain agents to recommend executive-grade trade plans.”
“The Admin Superuser bypass and role-based access control allowed our compliance officers to inspect real-time swarm decisions without interrupting running client portfolios.”
“Accelerated our molecular docking analysis pipelines. By treating protein folding hypotheses as state graph nodes with conditional branches, synthesis ran 4.2x faster.”
“Automated container routing and customs clearance swarms running 24/7. Nexos reduced our off-peak serverless compute footprint by 61% through intelligent local worker offloading.”
“The MCP server configuration worked out of the box with zero tinkering. Our developers simply pointed Cursor to `@nexos/mcp-server` and started steering live swarms in minutes.”
“State-transition determinism formula S_(t+1) = delta(S_t, A_t, Omega_t) isn’t just marketing copy—it is mathematically verified in our hardware-in-the-loop automotive test cells.”
“We run multi-agent sentiment distillation on 50,000 news articles every morning. NexosHive Queen nodes synthesized conflicting market opinions into an actionable risk report in 4 seconds.”
“Stripe integration was instantaneous, the developer dashboard is clean, and the ability to download full runnable ZIP code packages without being trapped in SaaS lock-in won our team over.”
“Formal verification of graph DAG safety constraints prevents goal drift across autonomous multi-turn loops. Nexos is the gold standard for responsible agent deployment.”
“Processed over 12 million PIX transactions with fraud-detection agent swarms powered by Nexos CRDT memory. Latency overhead was negligible at 1.8 milliseconds per evaluation.”
“The combination of Tree-sitter code mining and Bayesian prompt parameter tuning allowed us to train repo-specific agent harnesses that outperform baseline LLMs by 35% on Vitest.”
“Deployed on factory-floor edge PCs communicating over low-bandwidth private mesh. NexosSwarm synchronizes machine diagnostics without ever touching external public clouds.”
“Nexos is the operating system for the next decade of autonomous software. From the sub-millisecond trace waterfalls to the mathematical CRDT convergence, everything is engineered to perfection.”
Built for Mission-Critical Production Workloads
Financial Algorithmic DAGs
Deterministic compliance verification, automated risk reconciliation, and circuit breakers with zero data retention.
Healthcare HIPAA Triage
Air-gapped multi-agent triage clusters processing patient records with cryptographic memory shredding.
Autonomous Software Eng
Tree-sitter AST call-graph extraction, continuous test-pass rate optimization, and CI/CD self-healing.
Live Voice Swarms
Low-latency conversational agent meshes with sub-20ms P2P state gossip across edge points of presence.
Build Your First Autonomous Agent Swarm in 60 Seconds
Start free with our open-source SDKs, in-browser DAG studio, and Git-Link repo trainer. Download production-ready `.zip` bundles with zero configuration.