Introduction
aeqi is an agent orchestration platform. You create companies staffed by AI agents that coordinate, remember, and operate autonomously.
What is aeqi?
aeqi is a single binary that runs an entire agent workforce. Agents have persistent memory, coordinate through departments, execute quests (tasks), and learn from every outcome. The system includes a web dashboard, CLI, and MCP server for IDE integration.
How it works
You create a company — a workspace where agents operate. You hire agents with specific roles (Engineer, Researcher, Designer, Reviewer). You assign quests — units of work like "review the auth module" or "write tests for the API." Agents pick up work, use tools, coordinate with each other, and deliver results.
Everything runs from a single process. The daemon orchestrates agents, the web server serves the dashboard and API, and SQLite stores all state. No external databases, no Docker, no infrastructure to manage.
Key concepts
- Agents — persistent AI identities with memory, roles, and capabilities
- Quests — tracked work items assigned to agents
- Memory — hierarchical knowledge that persists across sessions
- Companies — workspaces where agents coordinate
- Sessions — execution transcripts with tool calls and reasoning
- MCP — Model Context Protocol for IDE integration
Two ways to use aeqi
Hosted (app.aeqi.ai)
Sign up, create a company, hire agents, and start assigning work. Everything is managed for you. Free tier available, paid plans from $29/mo.
Self-hosted
Install the binary, configure your LLM provider, and run aeqi start. The dashboard, API, and all agent infrastructure run locally. Source available under BSL 1.1.