AI Agents: From Prototype to Production

Model Context Protocol (MCP) Integration

Connect agents to external tools via the standard protocol. Build MCP servers and clients.

Stateful Workflows with LangGraph

Build complex agent workflows with state machines, branching, and persistence using LangGraph.

FastAPI Agent Deployment

Deploy agents as production REST APIs with FastAPI. Authentication, rate limiting, and async handlers.

Kotlin/Koog Framework

Build AI agents in Kotlin with the Koog framework for JVM-based enterprise environments.

Dual-Memory with Redis

Implement short-term and long-term memory using Redis. Semantic search across agent memory tiers.

Self-Improving Memory with Mem0

Hybrid vector + graph memory that improves over time. Agents remember and learn from past interactions.

AI Memory with Cognee

Structured knowledge graphs from agent conversations. Persistent, queryable memory layer.

Production RAG with Contextual AI

Build retrieval-augmented generation agents that work at enterprise scale with real data.

Docker Containerization

Package agents as Docker containers for consistent deployment across environments.

AWS Bedrock AgentCore

Deploy agents on AWS with Bedrock. Managed infrastructure, scaling, and integration with AWS services.

Scalable GPU Deployment with RunPod

Deploy LLM-powered agents on GPU infrastructure. Auto-scaling, cost optimization, and performance.

On-Premise LLMs with Ollama

Run local language models for privacy-sensitive agent deployments. No cloud dependency.

Security with LlamaFirewall

Comprehensive security guardrails for AI agents. Input/output filtering, injection prevention, policy enforcement.

Security Evaluation with Apex

Automated security testing for agent systems. Vulnerability scanning and compliance checking.

Secure Tool Calling with Arcade

OAuth2 integration and human-in-the-loop controls for agent tool usage. Enterprise-grade access control.

Web Data with Bright Data

Enterprise web scraping for agents. Anti-bot bypass, proxy networks, and structured data extraction.

Real-Time Web with Tavily

Live web search integration for agents. Real-time data retrieval and fact-checking.

A2A Protocol Communication

Agent-to-agent communication protocol for multi-agent coordination and task delegation.

Tracing with LangSmith

Full observability for agent systems. Trace every decision, debug failures, and monitor performance.

Automated Assessment with IntellAgent

Evaluate agent quality automatically. Benchmark against criteria, detect regressions, and score outputs.

Fine-Tuning for Domain Expertise

Customize LLMs for specific domains. Training data preparation, fine-tuning workflows, and evaluation.

Streamlit Chatbot Interface

Build production chatbot UIs with Streamlit. Real-time streaming, conversation history, and tool visualization.