DeepAuto.ai

Agent

From real-world agents to Superintelligence,
DeepAuto’s self-evolving, verifiable AI Framework

From Real-World Agents to Superintelligence, DeepAuto’s Self-Evolving, Verifiable AI Framework

A full-stack, self-evolving engine designed for real-world deployments

A full-stack, self-evolving engine designed
for real-world deployments

English

Korean

English

Korean

English

Korean

Full-Stack, Portable & Secure

Our framework is more than just algorithms, it’s a complete software stack you can deploy in your own infrastructure. From managing GPU resources, model serving, to orchestrating agents, it’s open-source and portable. That means your data stays under your control, with no dependence on third-party services or data leakage risks.

Agent Layer

Model Layer

Serving Layer

GPU Layer

Self-Evolving Agents

Agents built on our platform don’t stay static. As they solve problems, they refine their workflows, prompt strategies, and internal reasoning models. Over time, they get better at planning, adapt to new domains, and reuse knowledge they’ve learned, reducing human oversight and continual tuning.

Workflow Refinement

Prompt Optimization

Internal Reasoning Model Evolution

Automated Workflow Generation

You don’t have to manually script every step. Given a high-level goal, our workflow builder breaks it down into subgoals, assigns tasks to tools, and charts a strategy, using embedded domain knowledge and dynamic task synthesis. This saves developers and domain experts massive time in building agentic systems.

With ongoing expert input and domain-specific knowledge integration, the AI continuously evolves to deliver smarter, more accurate results.

Workflow Builder

Long-Context Reasoning

Many tasks require stitching together large amounts of information (documents, logs, code, multimodal inputs). Our long-context module allows agents to process million-token–scale inputs efficiently, letting them draw relevant connections across vast context improving both understanding and decision-making.

With ongoing expert input and domain-specific knowledge integration, the AI continuously evolves to deliver smarter, more accurate results.

Long-Context Module

Verifiable AI

In high-stakes domains (finance, compliance, auditing), mistakes cost money. Our agents include verification step before acting, they check factual consistency, numerical correctness, plan alignment, and cross-module consistency. This ensures robustness, correctness, and traceability.