Open-source Copy.ai alternatives

Refly is an open-source platform for building agent skills, which it treats as durable, versioned infrastructure rather than one-off prompts. You describe a workflow, Refly turns it into an executable skill, and that skill can be reused across teams and runtimes. The input lists its license only as other, so check the repository for terms.

Skills can be run in Refly with one click, exported to coding tools such as Claude Code, or deployed as APIs. Webhooks and bots can connect to Slack and Lark or Feishu, and a skills registry lets the community import, fork, and publish skills. Its topics mention n8n as a comparable workflow tool, and the project talks about compiling enterprise operating procedures into skills.

Refly can be deployed on your own server with Docker using the self-deployment guide, which the project recommends for developers, or accessed through a hosted workspace. It suits developers and operations teams automating repeatable work with AI agents and wanting those automations to be reviewable and shareable.

Magic, from the Magicrew project, is an open-source AI agent platform aimed at enterprises. It combines a generalist AI agent, a workflow engine, instant messaging, and an online collaborative office system in one product. The input lists its license only as other, so check the repository for terms.

The README frames it in contrast to personal AI assistants such as OpenClaw, which it credits as strong for individuals. In company settings, it argues, problems arise: data scattered across personal accounts, no budget guardrails, output that stops at plain text, and risky actions without approval gates. Magic is built to address security, control, direct business outcomes, and autonomous round-the-clock operation. Topics reference MCP, sandboxes, low-code and no-code workflows.

It is written in TypeScript and suits organizations that want to deploy AI agents with administrative control rather than adopt consumer tools. As the claims are the vendor's own, teams should evaluate its security and governance features themselves.

LiveContext is a self-hosted AI automation platform. You describe the job in a chat message, and it builds a readable workflow, AI agents with scoped access and spending budgets, and a small app your team can use, all on one canvas that combines chat, workflow, agent and app.

Workflows are drawn as a readable graph and can be wrapped in an interface with forms, dashboards and approval screens. Each agent has its own model, tools, files, credit budget and audit trail so you can see what it did, built-in data tables are available to workflows and agents without an external database, and every run is charted by calls, tokens, success rate and duration. The stack uses Java with Spring Boot, a Next.js front end and Docker, with topics mentioning MCP.

The project is positioned as a source-available alternative to n8n, Zapier and Make with agents built in, uses a fair-code style license listed as Other, and also offers a hosted version to try. It is aimed at teams that want AI automation they can run on their own infrastructure.