Open-source Relevance AI alternatives

AutoGPT is an open-source platform for building and running AI agents that carry out complete workflows. You can describe a desired outcome in plain English, or lay out each step yourself in a visual builder. Agents can then run whenever you ask, on a schedule or from a trigger. The project is written mainly in Python.

The platform is organized around four areas: AutoPilot, which turns a conversation into a working agent; Agents, which shows runs, costs and actions needing attention; a Marketplace of ready-made agents you can add to your library and customize; and Build, a block-based editor where you connect, branch and inspect steps for precise control.

A hosted platform is run by the vendor, who manages infrastructure, model access, credentials and updates, and it is a paid service. The code can also be self-hosted, and the README links a self-hosting guide. GitHub lists the license as 'Other', so review the repository terms before reuse. It suits teams automating repeatable tasks with agents.

LobeHub describes itself as a Chief Agent Operator that organizes your AI agents into around-the-clock operation. It is designed to take on the hiring, scheduling and reporting for a whole team of agents so that you stay in charge without having to stay online. The project is written in TypeScript, and its GitHub topics point to chat, agent, knowledge base and MCP functionality.

The README groups its features around four ideas: Operator, Create, Collaborate and Evolve, which cover treating agents as the unit of work, scaling new kinds of collaboration networks, and the co-evolution of humans and agents. A plugin ecosystem extends the platform, and the project's topics reference model providers such as OpenAI, Claude, Gemini and DeepSeek.

LobeHub can be self-hosted: the README documents deployment on Vercel, Zeabur, Sealos and Alibaba Cloud, as well as Docker, and describes the environment variables used for configuration. GitHub lists the license as 'Other', so check the repository for the exact terms. It suits individuals and teams who want to run a shared workspace of AI agents on infrastructure they choose.

Botpress is a platform for building chatbots and AI assistants powered by large language models such as OpenAI's GPT. Its Botpress Cloud product is the main way to build and run agents, and this repository holds the open-source parts that surround it. It is written in TypeScript and released under the MIT license.

The repository contains the public integrations on the Botpress Hub that Botpress maintains, the developer tools for Botpress Cloud including the CLI, SDK and API client, examples of bots written as code with the SDK and CLI, and plugins for Botpress Studio. Developers can create their own integration from a template using the CLI and publish it to the Hub without forking the repository.

Contributions are welcome through pull requests and issues for the code in the repository, while Discord is suggested for faster responses about Cloud issues. On-premise Botpress version 12 is maintained in a separate repository, which is where problems with that version belong.

Agenta is an open-source workspace for building and running agents that automate and support work. You create an agent by chatting with it: describe the task, connect the apps it needs and improve it through feedback. Agents can be used directly in chat, shared with teammates and set to run in the background for recurring work.

Repository topics point to agent building, orchestration, observability, MCP and an AI skills manager, as well as workflow automation. The project is written in TypeScript and offers documentation, a website and a managed Agenta Cloud, while the repository also supports self-hosting.

The repository license is shown as 'Other' on GitHub, so check the terms before commercial use. Agenta suits teams that want a shared place to create specialized AI coworkers connected to their existing tools, with a choice between a hosted service and running it on their own infrastructure.

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.