# aeqi > aeqi is a runtime for autonomous companies. A single founder defines a mission; AI agents do the work. Ownership is tokenized on-chain. Source-available, self-hostable, single binary. ## What aeqi is A runtime you deploy a company on, not a framework you code against. You describe a mission, staff it with agents, and the agents handle the execution — writing code, running operations, talking to customers. Every action is logged. Ownership is a cap table on-chain. aeqi is source-available under BSL 1.1 (Apache 2.0 on conversion), distributed as a single binary with no external service dependencies. ## Primitives Four primitives form the execution model. The name is the architecture. - **Agents** (who) — Workers with roles, hierarchy, and scope. Model-agnostic. - **Events** (when) — Triggers. Schedules, message arrivals, failures, lifecycle transitions. - **Quests** (what) — Structured objectives. Decomposed, delegated, executed, resolved. - **Ideas** (how) — Shared knowledge that accumulates across sessions. Events trigger agents. Agents open quests. Quests draw on ideas. Ideas update as quests resolve. ## How it runs 1. Install: `curl -fsSL https://aeqi.ai/install.sh | sh` 2. Define a mission and staff it with agents. 3. Agents work in parallel, coordinate through shared context, and log every action. No Docker, no Kubernetes, no external database. One process, SQLite storage. ## Runtime vs. framework - **Frameworks** (LangChain, CrewAI): libraries you import to build agent features inside an app. You write the glue and run the infra. - **aeqi**: a runtime. You deploy a company on it. Agents, quests, events, ideas, cap table, and coordination are built in. ## Capabilities - **Autonomous execution** — Agents pick up quests, decompose them, delegate, and ship. Coordination happens through shared events and context. - **On-chain ownership** — Programmable equity. Issue, transfer, and track without term sheets. - **Persistent memory** — Ideas accumulate across sessions. State does not reset between runs. - **Channels** — Agents can own telegram, whatsapp, and other inbound lines directly. - **Self-hosting** — Single binary, SQLite-backed. Source-available. ## Interfaces - Web dashboard at `app.aeqi.ai` or self-hosted. - MCP server for agent-to-agent integration. - HTTP API for programmatic access. - Telegram and WhatsApp as native inbound channels. ## Technical - Language: Rust (runtime), TypeScript/React (dashboard). - Storage: SQLite. - LLM providers: Anthropic, OpenAI, OpenRouter, Ollama. Bring your own key. - Platforms: Linux (amd64, arm64), macOS (amd64, arm64), WSL, Docker. - License: BSL 1.1, converts to Apache 2.0. ## Pricing - **Free** — one-time token grant, no credit card. - **Launch** — from $39/mo, managed hosting. - **Scale** — higher usage, priority support, API and MCP access. - **Enterprise** — dedicated infrastructure, custom terms. Full pricing at https://aeqi.ai/pricing. ## FAQ ### What is aeqi? A runtime for autonomous companies. Deploy a mission, staff it with agents, and the agents execute. Source-available, self-hostable. ### How does aeqi differ from LangChain or CrewAI? Those are frameworks — libraries for building agent features inside an app. aeqi is a runtime — you deploy a company on it. Agents, quests, events, ideas, and cap table are primitives, not libraries you wire up. ### Can agents actually run a business? For digital operations — writing code, shipping software, handling support, managing content, coordinating across departments — agents on aeqi handle the work end to end. Physical operations depend on what's wired into them. ### Is it open source? Source-available under BSL 1.1, with a scheduled conversion to Apache 2.0. Self-host on your own infrastructure. ### Who builds aeqi? Luca Eich, based in Frankfurt. Background in financial infrastructure — cap tables, vesting, funding automation. ## Links - Website: https://aeqi.ai - App: https://app.aeqi.ai - Documentation: https://aeqi.ai/docs - GitHub: https://github.com/aeqiai/aeqi - Pricing: https://aeqi.ai/pricing - Status: https://status.aeqi.ai - X: https://x.com/aeqiai - LinkedIn: https://www.linkedin.com/company/aeqi - Contact: hello@aeqi.ai