Guardrails AI
Python framework with input and output guards that detect LLM risks, plus structured output generation
Observability tool by Guardrails AI (Harvey)
Chalk Labs
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Install
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pip install guardrails-ai
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About
Use cases: security-scanning, model-inference
Reviews
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Fact sheet
- Category
- Guardrails · open source
- Open source
- Yesraw.githubusercontent.com
Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.
Signals
- Stars
- 7,558
- Forks
- 729
- Open issues
- 18
- Last commit
- Aug 26, 2026 (2 months ago)
- Last release
- Aug 14, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Packages
- pypi
guardrails-ai - License
- Apache-2.0
- Repository
- github.com/guardrails-ai/guardrails
- Website
- guardrailsai.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Guardrails AI. Agent Mart. https://agentmart.dev/observability/guardrails-ai (last updated 2026-10-24)