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Eggai

EggAI is an open-source Python meta-framework and SDK for building and coordinating asynchronous multi-agent applications. It provides abstractions for agents, event handling and agent-to-agent communication.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Eggai — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use EggAI when a Python application needs an async-first framework layer for defining agents, handling events and coordinating multi-agent workflows.

Who it is for

  • Python developers building event-driven applications with multiple agents.
  • Teams coordinating agent workflows and integrations with LLMs, APIs or messaging components.

Documented uses

  • Define agents with handlers for selected events.
  • Coordinate asynchronous communication between agents.
  • Build long-running workflows that connect to external systems.
  • Explore example patterns for channel coordination, WebSockets and integrations with AI frameworks.
Before you choose

Requirements & limits

The repository is public and identifies the project as MIT-licensed. Its README documents installation through pip and CLI-based project generation.

  • The framework is Python-based and describes itself as async-first, distributed and composable.
  • The SDK is presented as framework-agnostic, with examples for DSPy, LangChain and LiteLLM.
  • The README documents both CLI project generation and direct event-handler setup.
  • The repository identifies Python 3.x but does not specify runtime dependencies or deployment targets in the cited material.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install EggAI and generate a starter application

Install the EggAI package and create a structured multi-agent project with the CLI.

Before you start

  • Python 3.x is identified by the repository.
  • pip and pipx are used in the documented commands.

Steps

  1. Install the package with the command below.

    Documented command
    pip install eggai

  2. Run pipx run eggai[cli] init to generate a starter application.

Expected outcome

The CLI creates a project containing agents, a console interface and configuration files.

Guide limitations

  • The documented setup steps do not cover running or deploying the generated application.
Documentation 1 ↗
Source-based practical guide

Set up an event-handling agent

Define an agent that handles an order-request event and publishes and handles an order-created event.

Before you start

  • The EggAI package installed in a Python project.
  • Python async support.

Steps

  1. Import Agent, Channel and eggai_main from eggai, and create an agent and channel.

  2. Register asynchronous handlers with agent.subscribe for the order_requested and order_created event types.

  3. In the eggai_main entry point, start the agent and publish an order_requested event.

Expected outcome

The documented example sets up an event-driven agent flow that publishes and handles an order-created event.

Guide limitations

  • The example is a setup pattern; it does not document deployment or external service configuration.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
EggaiDefine agents with handlers for selected events.Linux, macOS, WindowsThe repository is public and identifies the project as MIT-licensed. Its README documents installation through pip and CLI-based project generation.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
eggai-tech/EggAI · Official homepage title · retained in its source language
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