Introduction
The unified AI infrastructure platform for building, deploying, and managing AI-powered applications.
Welcome to the Everstack documentation. Everstack is an open-source, unified AI infrastructure platform that brings together everything you need to build production-grade AI applications -- from LLM gateways and agent orchestration to workflow studios, vector memory, and sandboxed execution environments.
What is Everstack?
Everstack provides a complete platform for AI application development:
- AI Gateway -- A unified proxy for 200+ LLM models across providers (OpenAI, Anthropic, Google, etc.) with built-in load balancing, caching, rate limiting, and fallback routing.
- Agent Runtime -- Build, deploy, and manage autonomous AI agents with tool use, human-in-the-loop approval, and persistent memory.
- Workflow Studio -- A visual workflow builder for designing multi-step AI pipelines with conditional logic, branching, and provider chaining.
- Vector Memory -- Managed vector collections for RAG, semantic search, and long-term agent memory backed by pgvector.
- Sandbox Environments -- Isolated runtimes for agents, jobs, preview apps, webhook workers, and safe code execution with shell access, filesystems, networking controls, and port exposure.
- Observability -- Full-stack tracing, logging, and metrics powered by OpenTelemetry and ClickHouse.
- Vault -- Centralized API key management with rotation, spend limits, and per-key access controls.
Quick Start
Choose Your Path
Whether you're setting up your first AI gateway or orchestrating complex multi-agent workflows, Everstack scales with your needs.
| Use Case | Start Here |
|---|---|
| Route LLM requests with fallbacks and caching | AI Gateway |
| Build autonomous AI agents | Agents |
| Design visual AI workflows | Workflow Studio |
| Add semantic search / RAG | Vector Memory |
| Execute code in isolated sandboxes | Sandboxes |
| Monitor and debug AI requests | Observability |

