OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Agent Frameworks

Swarmzero

Swarmzero is an Apache-2.0-licensed Python SDK for creating and running AI agents and groups of agents. Its README describes language-model provider options, TOML or YAML configuration, and custom Python functions as agent tools.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Swarmzero — 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 Swarmzero when developing an agent or multi-agent application in Python and you want a documented SDK, provider options and a pattern for adding your own Python functions.

Who it is for

  • Python developers building an AI agent application.
  • Teams prototyping agents that collaborate as a swarm.
  • Developers who want to connect an agent to a custom Python function, such as the documented Ethereum transaction-receipt example.

Documented uses

  • Create and run a single AI agent with instructions and functions.
  • Prototype a group of agents that collaborate on complex tasks.
  • Select among listed language-model providers for an agent project.
  • Add a Python function as a tool, including a function that retrieves an Ethereum transaction receipt.
Before you choose

Requirements & limits

The public repository identifies the project as open source under the Apache-2.0 license. The README requires Python 3.11 or later.

  • The documented framework is Python-based and requires Python 3.11 or later.
  • The README lists nine language-model providers, including hosted services and Ollama.
  • Its custom-tool example uses Web3 to retrieve an Ethereum transaction receipt, so blockchain-related work is presented as a tool added to an agent.
  • The example local chat interface uses the /api/v1/chat endpoint; the README does not describe this as a hosted service.

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 the SDK and prepare an agent environment

Set up the documented Python dependency and API-key environment for a Swarmzero project.

Before you start

  • Python 3.11 or later
  • An OpenAI API key for the README’s environment setup

Steps

  1. Install the package with pip, Poetry, or by adding it to a requirements file.

  2. Copy the project’s .env.example file and rename the copy to .env.

  3. Set OPENAI_API_KEY in the .env file.

Expected outcome

The package is installed and the documented environment variable is set for a project using the README’s OpenAI setup.

Guide limitations

  • These steps prepare the SDK environment; they do not cover creating, running or deploying an agent.
  • The README describes an OpenAI key for this setup; provider-specific credential setup is not covered in these steps.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
swarmzero/swarmzero · Official homepage title · retained in its source language
How we review sourcesSuggest a correction