Audience
Developers seeking to build and deploy durable AI agents using Markdown instructions, reusable skills, and TypeScript tools
About eve
Eve is the framework for building agents, like Next.js for web apps, but for agents. It uses Markdown for instructions and skills, TypeScript for tools, and durable execution by default. An agent is a directory that defines instructions and skills in Markdown, tools in TypeScript, and then deploys. Eve compiles the directory, wires up durable workflows, and connects channels, giving developers a structured way to build production agents without gluing together point solutions. An instructions.md file can be a complete agent, while agent.ts lets teams choose a model or configure the runtime. Reusable skills are Markdown playbooks loaded when relevant, so the agent gets focused guidance without carrying everything in every prompt. Tools are added as TypeScript files, with the filename becoming the tool name, and no registration is required. Every agent includes an isolated sandbox and file tools, with support for custom sandbox setup.
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OpenComputer
OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation.
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Omnara
Omnara gives developers an open-source way to deploy AI agents without building the systems that keep them running. Its API manages execution and agent state, while you decide which models, tools, and environments each agent uses. Build agents that customers can access inside your product, create internal assistants for Slack, or set up workflows for tasks like code review.
You can launch and interact with agents through a REST API, TypeScript SDK, or CLI. Connect models from providers such as OpenAI, Anthropic, and OpenRouter, or use a compatible endpoint for a model you host yourself. Agents can work in managed sandboxes or on machines you connect. MCP integrations and reusable skills let them access tools and data.
Omnara also includes team and project permissions, encrypted secrets, activity records, and human approval for sensitive actions. Its agents retain their state so they can continue after interruptions. You can use the cloud service or self-host the platform.
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Mastra
Mastra is an open-source TypeScript framework for building, deploying, and managing AI agents and intelligent applications. The platform provides tools for developing autonomous agents, orchestrating multistep workflows, managing persistent memory, and integrating large language models with external services. Its agent framework supports configurable instructions, tool calling, structured outputs, and connections to thousands of AI models through a unified model router. Developers can create durable workflows with conditional branches, retries, human approval steps, and the ability to pause and resume long-running tasks. Mastra also includes agent observability, performance evaluations, tracing, metrics, and debugging tools to help developers monitor and improve AI applications. The framework integrates with React, Next.js, Node.js, and other JavaScript environments, with options for standalone deployment, Mastra Cloud hosting, and enterprise infrastructure.
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Flue
Flue is an open agent framework for building durable AI agents with a programmable TypeScript harness. Created by the team behind Astro, it uses a React-like hooks API to compose agent behavior, persistent state, lifecycle events, models, tools, sandboxes, subagents, skills, and MCP servers in code. Agents are stateful and addressable over HTTP, keep context across conversations and events, and can change capabilities as work progresses. Flue records every session in a durable stream, so accepted work survives crashes, restarts, and deploys; interrupted sessions resume automatically and clients reconnect without starting over. Developers can run agents locally, in CI, from their own backend, or orchestrate them with systems such as Cloudflare Workflows and Inngest. Secure sandboxes let agents run commands, edit files, and do real work, while tools connect them to APIs and data. Flue is powered by Pi and supports different LLM providers, allowing teams to choose the models they want.
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Company Information
Vercel
Founded: 2015
United States
vercel.com/eve
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eve Frequently Asked Questions
Q: What kinds of users and organization types does eve work with?
eve works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does eve support in their product?
eve supports these languages: English.
Q: What kind of support options does eve offer?
eve offers support via online.
Q: What other applications or services does eve integrate with?
eve integrates with: Discord, Facebook Messenger, GitHub, Google Chat, Linear, Markdown, Microsoft Teams, Next.js, Slack, Stripe, Twilio, TypeScript, Vercel, and WhatsApp.
Q: Does eve have an API?
Yes, eve has an API.
Q: What type of training does eve provide?
eve provides training in the form of documentation, live online, webinars, and videos.
