Open-Source AI Agent Platforms

AI agent platforms let you build and run AI agents that connect language models with knowledge sources and tools for multi-step tasks.

Typical use cases include searching company knowledge, handling customer requests, and supporting business processes. The focus is on building your own agents and their workflows, including collaboration between multiple agents within a workflow.

The category covers standalone applications with a user interface, not frameworks or pure APIs.

Applications that focus on managing existing agents, their tasks, and their workspaces belong to AI agent management. If an application has substantial features in both areas, it can be assigned to both categories.

Personal AI assistants focus on carrying out personal and recurring tasks with configured tools and approvals. AI chat interfaces are mainly used for conversations, writing, and research, and AI coding agents carry out development tasks.

Workflow automation focuses on connecting systems through triggers and rules rather than on building your own AI agents.

Features

Below is an overview of common features of AI agent platforms.

Configure agents with instructions and tools

Connect language models from different providers

Connect documents and knowledge sources

Build multi-step workflows visually

Connect external applications through APIs

Add human reviews and approvals

Log and analyze agent runs

Role and permission management

Products

Below is an overview of popular open-source software in the category «Open-Source AI Agent Platforms». The list is sorted alphabetically.

Well-known proprietary examples include Microsoft Copilot Studio, Relevance AI, Salesforce Agentforce and Voiceflow.