visitor DataProcessor {
can transform(
data: RawInput
) -> ProcessedOutput
can validate(
input: UserInput
) -> ValidationResult
}
workflow ProcessingPipeline {
step 01: validate input
step 02: transform data
step 03: emit artifact
}Agent
Youragent,yourrules.
A coding agent that runs locally, connects to your projects, and ships real code — all through a clean web interface.
Web Agent walkthrough
Video coming soon
Core Features
Builtforseriouswork.
Not just code generation — the agent understands your project, iterates on its own output, and remembers everything it learns across sessions.
Goal
Define outcome, not steps
Tell the agent what you need built — not how to build it. It plans, writes, tests, and corrects itself until the job is done.
Research
Context-aware from line one
Before touching code, the agent scans your codebase, dependencies, and conventions. Every change fits your project like it was already there.
Observe
Learns across sessions
Conversations are compressed and persisted. The agent recalls past decisions, patterns, and preferences — it gets sharper the longer you work with it.
Cost Control
Totalcontrolofper-projectspend
Stop managing individual API keys. Set one budget per project and share it across the entire team — no surprises, no overhead.
Per-project budgets
Set and forget
Set a spend cap per project. The agent enforces it automatically — no surprise bills, no manual tracking.
Shared team usage
One budget, everyone
Every team member draws from the same project budget. No API key distribution, no per-developer overhead.
No dedicated API keys
Rotate once, not per dev
Connect the project once and the team shares access. Stop juggling provider keys across every machine.
Real-time visibility
Every cent, accounted for
See inference costs per call, per model, per developer. Track spend in real time — no monthly surprise.
Project budget breakdown
Multi-Machine
Manymachines.Onedashboard.
Run the agent on as many machines as you need. All connected to the same project, all visible from a single interface.
Control from anywhere
Every machine is reachable from the web dashboard. No SSH, no VPN — just open a browser.
Mac Studio
Generating routes…
Dev Server
Waiting for task
Laptop
Refining schema…
Raspberry Pi
Monitoring logs
How it works
How It Works
IntelligentArtifactGeneration
Not just code generation — intelligent inference with self-evaluation that understands context and relationships.
Write your intent as a declarative .aexol spec.
The Pipeline
Dedicated Models
From ideato deployedmodel
No heavy ML pipeline. No fragmented tooling. Just a practical path from idea to a deployed model.
Describe the task
Start with a simple prompt. Describe the domain knowledge your model should learn.
Tap steps to explore
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10,000+ developers trust Aexol
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Build with Aexol
Define your application in plain language. Let autonomous agents generate the code. Review and ship with confidence.