Giselle
by Giselle · Visual builder for chain-of-thought AI agents in product workflows
42.5 — BenchRank score out of 100
Screenshots of Giselle
Homepage Pricing page
Overview
Giselle is a hosted studio for building AI agents by dragging components together rather than writing code. Agents connect to GitHub, PostgreSQL data stores and vector stores for context, run against models from Anthropic, Google and OpenAI, and can be triggered automatically for tasks such as PR review, PRD drafting and documentation updates.
- Best for
- Small product and engineering teams automating research, PR reviews and docs without writing code.
- Pricing
- Free plan with 30 minutes of model usage and a self-hosted open-source option, then Pro at $20/month including $20 of AI credits, with a Team plan at $100/month listed as coming soon.
Strengths and trade-offs
Strengths
- Drag-and-drop agent builder; no coding or prompt tuning stated
- Models from Anthropic, Google and OpenAI in one workflow
- Free tier plus a self-hosted open-source option on GitHub
- ISO/IEC 27001 certified, with SOC 2 stated as in progress
Trade-offs
- Team plan and its collaboration features are marked "Coming Soon"
- Free and Pro plans are limited to a single user each
- Free plan's 30 minutes of model use is a limited-time offer
- Support is email only; Pro overage adds 10% to base token rates
Pricing
Published plans from Giselle’s own pricing page, in USD. Usage charges and add-ons may apply on top.
| Plan | Monthly | Includes |
|---|---|---|
| Open Source | —self-hosted |
|
| Free | Freeper user |
|
| Pro | $20per user |
|
| Team | $100per month for up to 10 users |
|
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 20 out of 100
- Documentation
- 60 out of 100
- Agent friendliness
- 57 out of 100
- Pricing transparency
- 100 out of 100
- Changelog
- 55 out of 100
- Marketing site structure
- 50 out of 100
- Operational trust
- 20 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 60 out of 100
- Maintenance
- 100 out of 100
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