Giselle
Visual agent builder that automates research, code review, documentation, and deployments through multi-model composition.
≈ 16visits/mo
Emerging · estimate, read 2026-09-19
- For
- AI native startups and solo developers building and deploying AI agents without coding
- Price
- Free plan · From $20/mopricing page, read 2026-09-20
- Activity
- Maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- No-code
- build and deploy AI agents with visual interface
- automate code review and pull request analysis
- generate product requirements from GitHub activity
- #6
Notion
Workspace for documents, projects, and databases with AI agents to automate tasks and summarize information.
1.1MActiveFrom $10/user/mo2016 - #8
AI-Native Airtable
Builds custom business applications and deploys AI agents across workflows without coding.
142kActive— - #16
Pylon
Deploys AI agents to handle customer support investigations and routing across multiple channels.
44kActiveContact sales - #18
n8n
Builds and deploys automation workflows combining visual and code interfaces with AI agent capabilities and 500+ integrations.
144knot readFrom $20/mo2019 - #19
Simular
Runs autonomous agents on your computer to automate repetitive screen tasks and workflows.
520knot read— - #20
LobeHub
Organizes and operates multiple AI agents 24/7, handling task scheduling and reporting through your existing chat tools.
51.4kActiveFrom $9.90/mo
What is Giselle?
Visual agent builder that automates research, code review, documentation, and deployments through multi-model composition.
Who is Giselle for?
AI native startups and solo developers building and deploying AI agents without coding
How much does Giselle cost?
Giselle has a free plan; paid plans start at $20/mo, per its pricing page on 2026-09-20.
Do people use Giselle?
Emerging: ≈ 16 visits a month · estimate, 2026-09.
Is Giselle still maintained?
Maintained.
What are alternatives to Giselle?
In Automation, by use: Notion, AI-Native Airtable, Pylon, n8n, Simular, LobeHub.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.