Agentic AI Technologies
The software landscape has transitioned from prompt engineering to AI Systems Engineering. At Code With Shivam, we configure and integrate the industry's most advanced, production-grade agentic tools to create self-healing web deployments, autonomous CRM channels, and multi-agent operations.
Development frameworks for structuring autonomous loops, memory systems, and agent orchestration.
LangGraph
Developed by LangChainThe industry standard for production-grade stateful agent workflows. It models interactions as graphs (nodes and cyclic edges), enabling complex cycles, human-in-the-loop control, and durable state tracking.
CrewAI
Developed by CrewAI Inc.Renowned for its role-based multi-agent collaboration model. Developers define specialized agents with distinct personas, tasks, and tools, allowing them to cooperate asynchronously to solve complex prompts.
PydanticAI
Developed by PydanticA type-safe framework built for clean Python integrations. It guarantees structured outputs, deep runtime model validation, and clean type-safety for complex reasoning layers.
Microsoft Agent Framework
Developed by Microsoft (successor to AutoGen)A unified enterprise-scale framework designed to orchestrate multi-agent applications. Includes native support for Model Context Protocol (MCP) and Azure security architectures.
Mastra
Developed by Mastra CorpA lightweight, TypeScript-first framework optimized for serverless edge execution. It is highly valued for its outstanding developer experience, zero dependencies, and low latency.
Our core AI platform powering next-generation web automation and codebases.
Agentic software development systems that analyze codebase context to write and debug code.
Cursor
Developed by AnysphereA widely popular fork of VS Code equipped with deep codebase indexing, inline agent code generators, and multi-file editing pipelines.
Windsurf
Developed by CodeiumA next-generation agentic IDE featuring a collaborative 'flow' state, allowing developers to switch between manual coding and autonomous agent assistance smoothly.
Visual builders and standard communication layers connecting models to custom applications.
Gumloop
Developed by Gumloop Inc.A visual workflow builder designed for complex, data-heavy agent pipelines. Enables non-developers to orchestrate web scraping, model evaluations, and file integrations.
n8n (Advanced AI)
Developed by n8n.ioFair-code automation node graph that incorporates native AI nodes, enabling seamless database connections, RAG pipelines, and agent memory integrations.
Model Context Protocol (MCP)
Developed by Anthropic / Open StandardAn open standard protocol that defines how client applications safely expose databases, local files, and APIs to AI agents, eliminating ad-hoc API integrations.
Ready to Integrate Agentic AI into Your Workflows?
We specialize in custom integrations of multi-agent networks, stateful graph APIs, and Model Context Protocols. Let’s engineering a solution tailored to your operational budget.