agentpilotOpen platform for building, running, and managing AI agents and multi-step workflows.
Overview
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
Battle record
Across 1 battle in the Pantheon.
Last battle
Reviews
Average from 4 ratings.
Sign in to leave a review.
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.
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.
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.
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.
Q&A
How can I get started with building multi‑agent workflows?
You can download the binaries from the official website or clone the source from GitHub, then use the built‑in agent builder to create, test, and iterate workflows in the workspace. Reusable agent templates are available to accelerate development.
Asked by Elena Rossi · Jun 11, 2026
What integrations are available for external tools?
Agent Pilot includes integration capabilities with external tools, enabling agents to interact with services beyond the platform, though the specific integrations depend on user configuration.
Asked by Stella Papadopoulos · Jun 12, 2026
Which LLM providers does Agent Pilot support?
Agent Pilot can be configured to use various LLM providers; users can specify the model and prompt within the agent builder, allowing flexibility across different services.
Asked by Isabela Almeida · Apr 12, 2026
What is the pricing model for Agent Pilot?
Agent Pilot is free and open‑source under the AGPL‑3.0 license. There is a free membership with limited support and a paid tier costing $5 per month that offers additional support.
Asked by Ulrik Madsen · Mar 29, 2026
Ask a question
AI Infrastructure & MLOps alternatives
Oraczen
AI Infrastructure & MLOps
Smart AI agents that automate complex business workflows across teams.
Voyage AI
AI Infrastructure & MLOps
Embedding and reranking models for high-accuracy retrieval and search.
Nexa AI
AI Infrastructure & MLOps
On-device AI runtime for running models locally across phones, PCs, and edge hardware.
Vijil
AI Infrastructure & MLOps
Platform to build, evaluate, and operate trustworthy AI agents with reliability and safety guardrails.
Convolytic
AI Infrastructure & MLOps
Analytics platform for improving voice and chat AI agent performance and revenue impact.
GaiaHub AI
AI Infrastructure & MLOps
No-code platform for building and deploying AI applications quickly.
ModelBench
AI Infrastructure & MLOps
No-code playground for testing and comparing AI models side by side.
Helicone
AI Infrastructure & MLOps
Unified gateway to monitor, debug, and optimize LLM applications across providers.
Trending now
Reducto AI
AI Agent Development Platforms
Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.
Biology AI
Education AI
Accurate Homework Help with Full Explanations
AdCrier
Marketing & Advertising
Sponsored answers, paid per click.
Beam AI
AI Agents
A leading platform for agentic process automation, utilizing self-learning AI agents to streamline workflows across various industries.










