
Agent PilotOpen-source platform for building and orchestrating AI agent workflows
Overview
Key features
- Drag-and-drop agent workflow editor
- Multi-model and multi-provider support
- Local execution and self-hosting
- Customizable agents and tools
- Conversation and workflow management
- Open-source codebase
Pricing
- Model
- Freemium
- Category
- AI Agents
- Rating
- 5.0 / 5 (4)
Use cases
Prototype multi-agent LLM workflows
Developers can visually design and test pipelines that chain multiple agents and models together, accelerating experimentation without writing extensive boilerplate code.
Private, self-hosted AI experimentation
Researchers and hobbyists can run agent workflows locally to keep data on their own machines while exploring different LLM providers and configurations.
Custom tool and integration development
Engineers can extend the open-source codebase with custom agents, tools, and integrations tailored to domain-specific tasks or internal systems.
Compare models across providers
Users can build workflows that route tasks to different model providers, making it easy to benchmark performance, cost, and output quality side by side.
Pros & Cons
Pros
- Free and open-source
- Visual workflow builder
- Supports multi-agent setups
- Self-hostable for privacy
- Extensible with custom integrations
Cons
- Requires some technical setup
- Smaller community than commercial alternatives
- Documentation may be limited
- Performance depends on chosen models
Reviews
Average from 4 ratings.
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Use it every day
Honestly didn't expect to like it this much. Local execution and self-hosting is exactly what I needed, and visual workflow builder. but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and free and open-source. Multi-model and multi-provider support fits neatly into how we already work, and drag-and-drop agent workflow editor removed a step we used to do by hand. but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: customizable agents and tools and visual workflow builder. On balance the feature set — especially conversation and workflow management — justifies the 5 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and self-hostable for privacy. Customizable agents and tools fits neatly into how we already work, and multi-model and multi-provider support removed a step we used to do by hand. but it has held up under daily use.
Q&A
What technical skills are needed to set up Agent Pilot?
Setting up Agent Pilot requires some developer or DevOps knowledge for installation and configuration, as the platform needs technical setup and may have limited documentation compared to commercial tools.
Asked by Ulla Nielsen · Jun 4, 2026
Does Agent Pilot work with multiple AI models and providers?
Agent Pilot offers multi‑model and multi‑provider support, so you can integrate and orchestrate workflows using different AI services and custom models within the same visual editor.
Asked by Celia Ramirez · May 23, 2026
Can I host Agent Pilot on my own servers for data privacy?
Yes, Agent Pilot supports local execution and self‑hosting, allowing you to run the platform on-premises or in your own cloud environment to keep data private.
Asked by Tatiana Popescu · May 21, 2026
What is the cost to use Agent Pilot?
Agent Pilot is free and open-source, so there are no licensing fees; you only incur costs for the infrastructure you choose to run it on.
Asked by Yuki Kobayashi · Apr 29, 2026
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