The AI Application Server

Use OpenAI, Anthropic, Google, Azure, AWS Bedrock, local Ollama/llama.cpp, or any OpenAI-compatible endpoint. Swap providers in seconds and mix models per agent – GPT-5 for reasoning, Claude Sonnet for writing, local Llama for high-volume tasks.

Automatic failover when providers fail. Never locked into one vendor's pricing or roadmap.

Each user stores their own credentials – OAuth tokens, API keys, connection strings. Agents access tools on their behalf with complete session isolation. User A's conversation history never leaks to User B. One formation, personalized for everyone.

Built-in RBAC defines who can deploy, chat, and manage credentials at the formation level.

MUXI's orchestrator automatically breaks down complex requests into executable subtasks. No predefined workflows – agents analyze complexity, identify dependencies, and create execution plans on the fly.

Assess task requirements in real-time. Execute in optimal order with parallel processing when possible.

Agents within your formation work together seamlessly. Delegate tasks across formations via A2A protocol. Collaborate with external agents from other organizations.

Intelligent task routing based on capabilities and domain knowledge. Build distributed agent systems that work as one.

Access 1,000+ MCP tools - GitHub, Slack, Stripe, Google Drive, databases, file systems, APIs, and more - with a fraction of the tokens

Unlike typical implementations that dump schemas into every context window, MUXI loads definitions once and indexes them. Subagents pull only what they need at runtime.

Handle images, PDFs, audio, and video natively. Vision models (GPT, Claude, Gemini) process screenshots, diagrams, and photos. Extract text from documents. Analyze charts and graphs.

OCR, image classification, and visual reasoning out of the box. Multimodal context flows through entire agent system.

Agents generate downloadable artifacts on demand – documents, spreadsheets, presentations, code files, reports, and visualizations. Users get tangible deliverables, not just conversation responses.

Create formatted outputs that integrate directly into workflows.

Real-time streaming for responsive user experiences. Agents stream responses as they think, not after completion. WebSocket support for live updates. Server-sent events for long-running workflows.

Token-by-token delivery for chat interfaces. Progress updates for multi-step operations.

muxi deploy and you're live! Bundle your formation, push to your server, and it's running. Use muxi pull for version control. Deploy specific versions. Hot updates with zero downtime. Roll back instantly.

Like Vercel® for websites – but for AI agents.

Complete SDKs for Python, TypeScript, Go, Swift, Java, and more. Interact with agents programmatically using languages you already know. Deploy, manage, chat, and stream responses using type-safe clients and full IDE autocomplete.

Build platforms, products, and custom tooling on top of MUXI without weeks of training.

“Check email every hour” or “remind me tomorrow at 2pm” – agents understand natural time expressions. Recurring and one-time tasks with intelligent datetime parsing and timezone awareness. No cron jobs required.

Schedule once, runs everywhere.

External systems trigger agent actions via HTTP endpoints. GitHub pushes, Stripe payments, monitoring alerts – any event can activate agents. Template-based message generation from event data.

Secure, authenticated endpoints created automatically per formation.

Smart pattern that stays synchronous during human approval, then switches to async after confirmation. Intelligent conplexity detection requires human approval only when needed.

Session tracking and webhook notifications are used for long-running workflows.

Agents respond to scheduled tasks, webhook events, and user interactions through one unified orchestration layer. Build reactive systems that operate autonomously.

Complete event history for debugging and audit trails, defined in the formation YAML.

Each user securely stores their own OAuth tokens and API keys. Agents automatically discover and use user credentials for MCP access, encryption at rest.

One formation can serve thousands of users with personalized experiences.

Pre-load agents with knowledge from files and URLs. FAQs, policies, docs, and specs – agents retrieve relevant context via RAG without fine-tuning models. Update knowledge by updating files. Changes available immediately.

Supports markdown, PDFs, text, Office, images, structured data, and more.

Buffer memory for immediate context, persistent storage for long-term retention, vector search for semantic retrieval. Agents remember what matters across sessions. Automatic tiering – MUXI decides what goes where.

Important information promoted to persistent, old content archived automatically.

LLM-synthesized user profiles automatically generate and cache summaries from conversation history. Two-tier caching: identity cached long-term, context refreshed regularly.

Reduces LLM costs by 80%+ while maintaining fresh, relevant context. Caches update as new information emerges.

Automatic FIFO cleanup when memory limits reached. Relevance scoring keeps important information longer. Context prioritization surfaces the most relevant information first in every interaction.

System learns what's important over time. Memory that gets smarter, not just bigger.

Define organizational knowledge that agents reason over, not rigid workflows they follow. Agents interpret procedures contextually and adapt them to specific situations. Version-control your organizational procedures.

Agents understand why procedures exist, not just what they say.

Workflows aren't scripted – they're generated. Agents assess situations, determine optimal approaches, and adjust strategies as execution progresses. Same request, different contexts = different workflows.

Plans evolve as agents learn from intermediate results. Non-deterministic by design.

See everything agents do, in real time. Track decisions, LLM calls, tool usage, and workflows. Stream events 10+ systems, including Datadog, Elastic, Splunk, OpenTelemetry, and more.

No external APM required. No blind spots. No guessing. Observability built into infrastructure.

Circuit breakers stop cascading failures. Exponential backoff with intelligent retry logic. Graceful degradation keeps systems working when components fail.

With ~72% cache hit rate (~92% semantic), MUXI ensures reduced LLM costs and latency.

Formations defined in YAML, version-controlled like code. Pull requests for agent changes. Team review of configurations. Test formations before production. Automated testing in CI/CD.

Every deployment tracked with instant rollback to any previous version.

Single binary or Docker-native deployment, with zero runtime dependencies – runs anywhere. On-premises for compliance, cloud for scale, air-gapped for maximum security. Your infrastructure, your data, your models.

Complete data sovereignty with no vendor access to your information.

Licensed under Elastic License 2.0 and Apache 2.0, with complete source on GitHub. Fork, modify, and use commercially without paying any licensing fees – no vendor permission required. Community-driven roadmap with transparent development.

No black boxes, no proprietary lock-in.

88.9% test coverage across 63,000+ lines of test code. Zero downtime deployments. Battle-tested reliability patterns built in, not bolted on as an afterthought.

Enterprise support available with SLA-backed response times, priority bug fixes, and architecture consulting.