AgentStack

Quickly build robust AI agent projects

CommonProductProgrammingAgentsDevelopment

AgentStack is a command-line tool for rapidly creating AI agent projects. It is built on Python 3.10+ and supports various popular agent frameworks such as CrewAI, Autogen, and LiteLLM. It integrates multiple tools to streamline the development process. The design philosophy of AgentStack is to simplify the journey of building AI agents from scratch, allowing for quick startup and operation of agent projects without complex configurations. It also offers an interactive test runner, a live development server, and build scripts for production environments. AgentStack is open-source and follows the MIT license, making it suitable for developers eager to dive into AI agent development quickly.

Supports popular agent frameworks like CrewAI
Autogen
and LiteLLM.
Starts projects quickly without configuration
allowing focus on code development.
Provides an interactive test runner and coverage reports.
Features a live development server that warns of common errors.
Includes one-click build scripts for convenient project deployment.
Integrates AgentOps to offer observability for AI agents.
Allows effortless updates for all tools through a single dependency.

\AgentStack is designed for AI agent developers
particularly those looking to rapidly start and run their agent projects. It is ideal for developers who need a simple
no-fuss template to get started
as well as those who wish to leverage existing popular agent frameworks and tools to accelerate the development process. AgentStack provides a pre-configured environment and tools
allowing developers to focus on coding rather than environment setup.\

Developers can create a new AI agent project in minutes using AgentStack and start development right away.
A team uses AgentStack to standardize their AI agent project structure
enhancing development efficiency.
Educators utilize AgentStack to quickly demonstrate the creation and development process of AI agents in class.

1. Ensure that Python 3.10 or higher is installed on your local development machine.
2. Run `pip install agentstack` in the command line to install AgentStack.
3. Create a new agent project using the command `agentstack init`.
4. Follow the prompts to complete project initialization
including setting up the project directory and installing dependencies.

Visit

AgentStack Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

AgentStack Visit Trend

AgentStack Visit Geography

AgentStack Traffic Sources

AgentStack Alternatives

Integral — Integral is a new-generation desktop and mobile application designed to replace Slack and Discord for expert communities and organizations.

chatting•Communication•Collaboration

Gan.AI AI Video Personalization — Personalized video production platform

Video•Personalized Video•AI Video Generation

Toivo — Transform your schedule from overwhelming to accomplished.

Productivity•Time Management•Task Planning

Couple Profile Design - Couple Avatar (Flux In-Context Lora) — The couple avatar design workflow offers personalized cartoon character creation.

Design•Avatar Design•Couple Avatar

132

FLUX.1-dev-IP-Adapter — The FLUX.1-dev-IP-Adapter, based on the FLUX.1-dev model, allows for image processing that is as flexible as text.

Image•Image Generation•Text-to-Image

LTXV Documentation — LTXV Video Technology Documentation

Video•Video Technology•Documentation

LTX-Video — A video generation model based on DiT, capable of real-time high-quality video generation.

Video•Video Generation•Artificial Intelligence

LTXV — Real-time AI video generation open-source model

Video•Video Generation•Real-time Rendering

Microsoft Translator Pro — An enterprise-level language translation solution that breaks down language barriers in the workplace.

Productivity•azure ai language•azure ai services

102

DINO-X — Unified visual model for open-world detection and understanding

ChineseSelection•Computer Vision•Object Detection

114

Data Annotation Platform — A data annotation platform that empowers efficient management of data annotation projects for AI initiatives.

Productivity•Data Annotation•Computer Vision

LlamaOCR — Convert images into structured Markdown documents.

Productivity•OCR•Document Conversion

Facesense — An intelligent attendance management system based on facial recognition technology.

Business•Facial Recognition•Attendance Management

CypherScribe — A platform for instantly converting data into developer documentation

Programming•Documentation Generation•Automation

Taurin — AI-Native Email Client

Productivity•Email Management•AI Automation

Pickle — Real-time voice-driven realistic AI clone

InternationalSelection•Video Conference•Lip Sync

252

Extractous — A fast and efficient tool for unstructured data extraction

Programming•nlp•rust

HumanLayer — API and SDK for human-in-the-loop feedback, inputs, and approval for AI agents.

Programming•API•SDK

PDF2MD — Convert PDF to Markdown using AI OCR technology.

Productivity•PDF Conversion•Markdown

SAMURAI — Zero-shot visual tracking model with motion-aware memory.

Image•Visual Tracking•Zero-Shot Learning

recordFireside — Capture family stories and create cherished memories.

Others•Family Stories•Recording

Lovable — Full-stack engineers that turn ideas into applications at lightning speed.

InternationalSelection•Full Stack Development•Rapid Prototyping

NotClass — An AI-powered video search platform for free learning resources on any topic.

Education•Video Search•Online Learning

Qwen2.5-Coder-0.5B-Instruct-GGUF — The 0.5B parameter instruction-tuned model within the Qwen2.5-Coder series.

Programming•Code Generation•Code Inference

Qwen2.5-Coder-0.5B-Instruct-AWQ — Qwen2.5-Coder series 0.5B parameter code generation model.

Programming•Code Generation•Code Reasoning

Best AI Websites & Tools