Autos Continuation

Seamlessly resume long-running, complex tasks across sessions without hitting context limits

What is Autos Continuation?

Autos Continuation is Opulent's approach to durable execution for long-horizon agent workflows. When an agent is assigned a task that takes hours or involves massive amounts of data processing, standard LLM context windows inevitably fill up, causing the agent to degrade in quality or fail entirely.

Autos Continuation solves this by allowing the agent to continuously checkpoint its progress, prune its active context window, and seamlessly "continue as new" without losing track of the overarching objective.

The Long-Horizon Problem

Traditional AI agents struggle with tasks that span long durations or process large volumes of information:

• Context Bloat: As the agent reads pages, executes code, and generates output, the context window fills up.
• Degradation: Approaching the context limit, agents start hallucinating, forgetting initial instructions, or getting stuck in loops.
• Fragility: If a step fails on hour 3 of a 4-hour task, traditional agents lose all their progress.

How Autos Continuation Works

Opulent's orchestration layer leverages durable execution primitives to manage agent state autonomously:

1. State Checkpointing

As the agent makes progress, it periodically commits its state—what it has learned, what steps are complete, and what remains to be done—into the workspace's persistent environment.

2. Context Pruning (Continue-As-New)

Before the context window reaches a critical threshold, the agent performs a "continue-as-new" operation. It summarizes its recent activities, preserves the core objective, and spawns a fresh session. The new session picks up exactly where the old one left off, but with a clean, optimized context window.

3. Resilient Resumption

Because the workflow state is durable, if an integration API goes down or a node fails, the workflow simply pauses and retries. Interruptions no longer mean starting over from scratch.

Real-World Use Cases

Comprehensive Code Audits

"Review this entire 50,000-line repository for security vulnerabilities.
Document each issue found and submit a pull request with fixes."

Autos Continuation allows the agent to process directory by directory, rolling over its context while maintaining a master list of discovered vulnerabilities.

Massive Data Migration & Extraction

"Scrape these 500 documentation pages, extract the API schemas, and translate
them into our custom OpenAPI format."

Instead of failing at page 40 when the context fills, the agent checkpoints after every 20 pages, continuing as new until all 500 are processed.

Unbounded Autonomous Operation

Set an agent on a continuous monitoring task. It can run indefinitely, checkpointing its state daily or weekly, without ever hitting a hard context limit or memory exhaustion.

Benefits of Durable Execution

Monitoring Autos Continuation

When an agent triggers a continuation, you will see a status update in the workflow UI indicating a "Checkpoint & Resume" event. This is normal behavior and indicates the system is actively managing memory to ensure top-tier performance on your long-running task.