Giselle

An open-source platform enabling teams to create AI agents through a visual node-based interface for automating complex workflows.

4.6 (5)

审阅者 Daniel Nikulshyn·更新 2026年5月

No-Code Open Source AI Agents Workflow Automation Visual Builder Node-Based Team Collaboration

概览

Giselle — An open-source platform enabling teams to create AI agents through a visual node-based interface for automating complex workflows.

使用场景

Build AI Agents Visually

Teams can design and configure AI agents using a drag-and-drop node-based interface, removing the need for extensive coding to create automation logic.

Automate Complex Workflows

Chain multiple AI nodes together to automate multi-step business processes that would otherwise require manual coordination across tools.

Collaborative Agent Development

Enable team members to co-create, review, and iterate on AI workflows together within a shared visual environment.

Self-Hosted AI Automation

Deploy the open-source platform on your own infrastructure to maintain control over data and customize agents to fit internal needs.

评测

4.6

5 个评分的平均值。

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Wei Chen

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and it is genuinely easy to set up caught me off guard. The docs could be deeper is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Kwame Mensah

Years in this space

I've evaluated a lot of these over the years. What stands out here is the onboarding — handled better than most — and it is genuinely easy to set up. Worth the time if this is your use case.

Daniel Schmidt

Does the job

Pretty happy overall. The integrations just works and support is responsive. The mobile experience lags can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Liam O’Connor

Solid for our team

We rolled this out across the team last quarter and it saves real time. The integrations fits neatly into how we already work, and the API removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.

Ahmed Saleh

Solid for our team

We rolled this out across the team last quarter and it saves real time. The automation fits neatly into how we already work, and the core workflow removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.