Adal

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AdaL is a multi-agent engineering system designed for high-performing software development teams. It shifts focus from simple code generation to comprehensive agentic engineering by operationalizing the entire software development lifecycle. AdaL combines high-precision, specialized Worker Agents—which handle coding, deep research, browser testing, and code review—with an overarching Engineer Agent that automates workflows, manages long-term memory, and coordinates tasks. It integrates smoothly with developers' environments through a CLI tool and a dedicated Agentic IDE workspace available on browser and desktop.
Multi-agent engineering system and AI coding agent for high-performing developer teams.
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adalagent.ai/
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What is Adal?

Multi-agent engineering system and AI coding agent for high-performing developer teams.

AdaL is a multi-agent engineering system designed for high-performing software development teams. It shifts focus from simple code generation to comprehensive agentic engineering by operationalizing the entire software development lifecycle. AdaL combines high-precision, specialized Worker Agents—which handle coding, deep research, browser testing, and code review—with an overarching Engineer Agent that automates workflows, manages long-term memory, and coordinates tasks. It integrates smoothly with developers' environments through a CLI tool and a dedicated Agentic IDE workspace available on browser and desktop.

Core Features
Multi-agent engineering workflow with specialized Worker Agents (Coding, Deep Research, Browser Use, Review)
Autonomous Engineer Agent that automates pipelines and tracks long-term memory
AdaL CLI for fast terminal-based sessions with full chat history and visible tool operations
Agentic IDE for visual tasks, file inspection, and reviewing structured feature clusters
Cross-model flexibility with support for frontier models including Claude, GPT, Gemini, Kimi, and DeepSeek
Headless operation, customizable SDK, and Meta-Agent scaffolders for custom domain agents
Popular Use Cases
  • Building full autonomous features from scratch using deep research and multi-agent loops
  • Debugging complex codebase errors such as float math rounding bugs and adding regression tests
  • Operating and validating live web applications using autonomous browser interaction with screenshot verification
  • Clustering and reviewing high-risk pull requests and code modifications in a native workspace
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • To get started
  • install the AdaL CLI by running the installation command in your terminal (`curl -fsSL https://adal.sylph.ai/install.sh | bash` for Mac/Linux). Use the CLI to initiate autonomous worker loops in YOLO mode for tasks like coding or deep research. For complex visual tasks
  • code reviews
  • and detailed collaboration
  • transition from the terminal into the interactive Agentic IDE by executing the `/ide` command.
Pricing
Adal uses a freemium pricing model. Pricing and features may change over time.
Standard
$20/month
Perfect for short coding sprints in small codebases. Includes a 7-day free trial.
Max
$100/month
5x Usage. Great value for everyday use in larger codebases.
Max+
$200/month
20x Usage. Great value for power users with the most access to all models.
Teams & Enterprise
Contact for Pricing
Tailored for growing teams. Supports up to 150 seats, custom usage limits, dedicated onboarding, SSO integration, SAML/SCIM provisioning, Zero Data Retention (ZDR), and basic admin controls.
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