We design and implement autonomous AI agent systems using Large Language Models (LLMs), with controlled architectures for reasoning, tool invocation, memory management, and execution flow. Leveraging frameworks such as LangChain and Agno Agent, we build agents capable of multi-step planning, dynamic tool selection, and stateful task execution. These systems integrate securely with enterprise APIs, databases, and internal services to automate complex workflows in production environments.
Core Focus
Autonomous decision-making
Tool-using AI agents
Workflow automation with memory and context
Technology Stack
LLMs: OpenAI GPT models, Google Gemini, DeepSeek
Agent Frameworks: LangChain, Agno Agent,
Agentic Capabilities: Tool calling, planning, reflection, memory
Integrations: APIs, databases, internal systems
Deployment: Cloud-based, scalable, secure