It is a backend framework designed to provide long-running workflows and infrastructure for building reliable and accurate AI agents. Restack addresses the growing concern of unreliable AI systems by enabling developers to create scalable, durable, and production-ready AI agents. It supports development in Python or TypeScript, offering first-class libraries for seamless integration. Restack allows developers to build workflows that persist state over extended periods, from days to years, and interact with multiple APIs while structuring business logic effectively.
The framework includes built-in task queues for managing task execution, with customizable rate limits and concurrency policies to ensure control over workflow execution at any scale. It also provides retry mechanisms to guarantee reliable execution, with customizable policies to fit specific needs. Developers can schedule cron jobs to execute workflows at precise intervals, ranging from daily tasks to year-long schedules. Additionally, Restack generates REST API endpoints to trigger workflows asynchronously from any client, enabling long-running workflows to operate in the background without blocking applications.
Restack is fully open source and designed to run on Kubernetes clusters, offering flexibility to deploy in Restack Cloud, on-premises, or in custom cloud environments. This ensures full control over infrastructure and data. The framework includes a developer toolkit with a UI for visualizing and replaying workflows or individual steps, enhancing debugging and local development. It integrates with popular IDEs like VS Code or Cursor, streamlining the development process.
Powered by Temporal for reliable orchestration and Kubernetes for scalable deployments, Restack ensures durable execution and successful workflow completion, even in the presence of failures. It also supports simulating, time-traveling, and replaying AI agents for testing and debugging. Restack is ideal for engineers from startups to enterprises, enabling them to build, launch, and scale autonomous AI products with confidence. The framework is open source, enterprise-grade, and deployable anywhere, making it a versatile solution for reliable AI development.
It is an AI-powered micro agent designed to write and fix code for developers by generating code, creating tests, and iterating until all test cases pass.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a GitHub-native tool designed to automate and enhance the pull request (PR) workflow by running multiple AI agents in parallel directly on your codebase.
It is an AI-powered tool designed to enhance software development productivity by automating tasks, solving bugs, and providing real-time collaboration within GitHub.
It is an AI-powered software testing platform designed to automate API and UI testing with no human intervention, enabling developers to achieve enterprise-level QA efficiency.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
It is an advanced AI platform designed to automate and optimize complex computer systems by orchestrating hundreds of AI models tailored to specific tasks, file types, and architectures.
It is a platform that replaces queues, state management, and scheduling with durable functions, enabling developers to build reliable, AI-ready step functions faster without managing infrastructure.
It is the first AI agent-powered Integrated Development Environment (IDE) designed to seamlessly integrate the work of developers and AI, creating a coding experience that feels intuitive and magical.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
It is an AI agent called bumpgen that upgrades npm packages, specifically for TypeScript and TSX projects, while automatically making necessary code changes to address any breaking changes caused by the upgrades.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a Chrome extension called Qodo Merge that integrates AI-powered chat and code review tools directly into GitHub to analyze pull requests, automate reviews, highlight changes, suggest improvements, and ensure code changes adhere to best practices.
It is a developer framework and platform designed to build production-ready AI agents capable of finding information, synthesizing insights, generating reports, and taking actions over complex enterprise data.
It is a blockchain platform powered by AI agents that enables users to manage crypto assets, build transactions, and create or customize AI agents to interact with APIs.
It is an AI-powered content creation service designed to generate high-quality, SEO-optimized articles automatically, saving time and effort while driving organic traffic.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is an AI-powered solution designed to streamline and simplify the job application process for candidates by automating complex and fragmented workflows across various job platforms.
It is a library called GOAT (Great Onchain Agent Toolkit) that enhances AI agents by providing access to over 200 onchain tools, enabling them to interact with blockchain-based systems and perform a wide range of onchain operations.
