agentpilotOpen platform for building, running, and managing AI agents and multi-step workflows.

4.8 (4)

Reviewed by Daniel Nikulshyn·Updated July 2026

Agent Builder Workflow Automation Multi-Agent LLM Orchestration Developer Tools Open Platform Prototyping

Overview

Agent Pilot is an open platform for building, running, and managing AI agents and multi-step workflows. It allows users to create, manage, and interact with AI workflows seamlessly. The platform is free and open-source under the AGPL-3.0 license. It offers a free membership with limited support, as well as a paid tier for $5/mo with additional support. The source code is available on Github, and users can download binaries from the platform's website.

Key features

Agent builder with model and prompt configuration
Multi-agent workflow orchestration
Support for various LLM providers
Reusable agent templates
Workspace for testing and iteration
Integration with external tools

Pricing

Model: Free
Category: AI Infrastructure & MLOps
Rating: 4.8 / 5 (4)

Use cases

Prototype Multi-Agent Workflows

Design and chain multiple specialized agents to handle complex, multi-step tasks without building custom orchestration code from scratch.

Compare LLM Providers in One Workspace

Configure agents using different models and prompts to test how various LLM providers perform on the same task before committing to one.

Build Reusable Agent Templates

Create configured agents once and reuse them across projects, speeding up iteration for developers and hobbyists exploring agent design.

Automate Tasks with Tool-Using Agents

Connect agents to external tools and orchestrate them in workflows to prototype automations for research, content, or operational tasks.

Pros & Cons

Pros

Centralizes agent creation and workflow design
Supports multiple models and providers
Useful for multi-agent experimentation
Reusable agent configurations

Cons

Requires familiarity with prompting concepts
Smaller ecosystem than major frameworks
Setup may be needed for advanced tools

Reviews

4.8

Average from 4 ratings.

Devin Walker

Mar 7, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: integration with external tools and centralizes agent creation and workflow design. On balance the feature set — especially support for various LLM providers — justifies the 5 stars for our use case.

Leila Hassan

Jan 30, 2026

Solid for our team

We rolled this out across the team last quarter and useful for multi-agent experimentation. Agent builder with model and prompt configuration fits neatly into how we already work, and multi-agent workflow orchestration removed a step we used to do by hand. Requires familiarity with prompting concepts, which is the main caveat, but it has held up under daily use.

Fatima Zahra

Jan 9, 2026

Does the job

Pretty happy overall. Workspace for testing and iteration just works and supports multiple models and providers. but no dealbreakers — I'd recommend it to a friend without hesitating.

Elena Rossi

Oct 21, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is workspace for testing and iteration — handled better than most — and useful for multi-agent experimentation. Requires familiarity with prompting concepts is my one real gripe. Worth the time if this is your use case.