AI Developer Tools

Jacquard

Jacquard is a small programming language designed for running, reviewing, and trusting programs written by machine-learning models and reviewed by people.

What is Jacquard?

Jacquard is a research programming language with algebraic effects, content-addressed definitions, and discrete probabilistic programming, built for a regime where most code is written by AI and reviewed by humans.

Jacquard vs Similar AI Tools

Pricing ModelFreeFreeCustom PricingFree, Paid
Free Credits
Key Features
  • Algebraic effects with deep, multi-shot handlers
  • Type-and-effect rows for capability enforcement
  • Content-addressed definitions with structural hashing
  • GitHub Pages hosting
  • Jekyll integration
  • Markdown content support
  • Workload monitoring and anomaly detection
  • Slow query identification and optimization
  • Natural language querying to SQL translation
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Language-level effect tracking and enforcement
  • Multi-shot handlers enable exact Bayesian inference
  • Free hosting with custom domain support
  • Easy setup via Git
  • Quick one-line installation and setup in 15 minutes
  • Self-hosted ensures data stays within your infrastructure
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Research prototype, not production-ready
  • Limited ecosystem and documentation
  • Limited to static content
  • No server-side processing
  • Requires self-hosting and VPC setup
  • No free tier or trial mentioned
  • Enterprise features require paid tiers
  • Setup may require technical expertise
Best For
  • AI safety and review workflows
  • Probabilistic programming research
  • Developers
  • Open source projects
  • Database administrators
  • Data engineers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

How to use Jacquard?

  1. 1Install the binary: curl -fsSL https://raw.githubusercontent.com/jbwinters/jacquard-lang/jacquard-core-0.1-rc3/scripts/install.sh | sh
  2. 2Run a program: jac run ~/.local/share/jacquard/demos/basics/m1-fact.jac
  3. 3Check effects: jac check FILE.jac --manifest
  4. 4Run tests: jac test TESTS.jac

Jacquard Key Features

  • Algebraic effects with deep, multi-shot handlers
  • Type-and-effect rows for capability enforcement
  • Content-addressed definitions with structural hashing
  • Discrete probabilistic programming as a library
  • Native AOT compilation emitting C

Jacquard Use Cases

  • Reviewing AI-generated code for side effects and uncertainty
  • Simulating programs under multiple world models
  • Exact probabilistic inference via enumeration
  • Program repair as Bayesian inference

Jacquard Pricing & Free Credits

Jacquard currently operates on a Free model.

This tool is completely free to use

Open Source

$0

Jacquard is free and open source under Apache License 2.0.

Jacquard Pros & Cons

Pros

  • Language-level effect tracking and enforcement
  • Multi-shot handlers enable exact Bayesian inference
  • Canonical identity ignores formatting and renames
  • Built for trust in AI-generated code

Cons

  • Research prototype, not production-ready
  • Limited ecosystem and documentation
  • Only core 0.1 semantic boundary defined
  • No concurrency or JIT support

What is Jacquard best for?

  • AI safety and review workflows
  • Probabilistic programming research
  • Safe effect management in generated code

Jacquard FAQ

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