Give your agent a goal and watch it break down tasks, execute multi-step workflows, handle errors, and recover automatically. All running locally on your machine.
Describe your goal in natural language. The agent decomposes it into steps, identifies dependencies, and creates an execution plan.
When a step fails, the agent diagnoses the error, adjusts its approach, and retries — without human intervention. Up to 3 recovery attempts per step.
Agents can use Deep Research, Code Sandbox, Data Analyst, and other Alabobai tools as part of their workflow. Tools compose naturally.
Watch every decision in real-time. Step-by-step execution logs, decision trees, and visual replay for debugging and auditing.
Configurable safety limits on execution time, API calls, and resource usage. Agents can't go rogue — they operate within your constraints.
Agents learn from past executions. Knowledge persists across sessions so recurring tasks get faster and more accurate over time.
Watch an agent plan, execute, recover from an error, and complete a complex task autonomously.
Describe what you want in natural language — from simple tasks to complex multi-step workflows spanning multiple tools.
The agent creates a step-by-step plan, selects the right tools, and executes each step — handling errors and edge cases automatically.
Review the results, step through the execution log, and refine. The agent learns from your feedback for next time.
Deploy autonomous agents that handle complex workflows while you focus on what matters.