Eve: Open-Source Framework for Durable Backend AI Agents

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Eve is an Apache-2.0, filesystem-first framework designed for building durable backend AI agents. Currently in beta, it can be deployed on Vercel or self-hosted as a Node service on custom infrastructure.

Key points

  1. Uses filesystem conventions to define and organise agents, channels, skills, tools, sandboxes, hooks, and schedules.
  2. Can be deployed directly to Vercel or run on custom infrastructure as Node services.
  3. Each deployed Eve instance exposes its own /eve/v1 endpoints and local authentication policy.
  4. Optimised for AI consumption with dedicated resources including /llms.txt, /sitemap.md, and direct .md/.mdx endpoints.
  5. Provides ready-made templates for use cases such as chat, incident response (SRE), software factories, and Slack integrations.

Why it matters

As teams move beyond ephemeral chatbot scripts, frameworks like Eve provide a structured, open-source foundation to run durable multi-agent backend workflows on standard hosting infrastructure.

Analysis

Eve merges the convention-over-configuration mindset of modern web frameworks with agentic backend engineering. By exposing distinct /eve/v1 routes per application and providing native machine-readable documentation, it facilitates both human and automated agent development. The extensive set of starter templates covers real-world enterprise tasks, such as alerting, code review, and CMS management.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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