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Architecture

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The “What” and “Why”

AI Agent Interoperability: Building Framework-Agnostic Multi-Agent Systems

I have explained the key concepts of agent interoperability and how you can leverage them to build framework-agnostic AI.

Read Time: 6 min

Managing LLM’s asymmetric context windows in multi-interoperable-agentic systems

I have explained importance of context window length in a multi-interoperable-agentic systems.

Read Time: 4 min

Model Context Protocol (MCP) Gateway — a middleware meant to productionize MCP for an enterprise

I have explained how ContextForge MCP Gateway works — a secure, unified middleware for scaling agentic AI integrations in the enterprise.

Read Time: 5 min

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The “How to’s”

Developing a Model Context Protocol (MCP) server and client for your agent-tool interoperability

I have explained how to implement a MCP Server and MCP Client for your enterprise

Read Time: 6 min

Deploy a remote Model Context Protocol (MCP) server and access it through Server-Sent Events (SSE) transport protocol

I have explained how to deploy a remote MCP server and access it through Server Sent Events (SSE) transport protocol.

Read Time: 5 min

Building Interoperable AI Agents with Agent Communication Protocol (ACP)

I have explained how to build a Cross-Framework AI Agent Ecosystems.

Read Time: 4 min

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Skills picked up

  • Hands-on Large language models (OpenAI, Meta-llama, Mistralai, Claud, AWS Bedrock, HuggingFace, Ollama, LiteLLM, watsonx.ai)
  • Develop & Deploy AI Agents
  • Govern AI Agents
  • Multi-agentic frameworks (LangGraph, CrewAI, Autogen, BeeAI, Strands)
  • Agent communication protocol (ACP), Google A2A
  • Model context protocol (MCP), MCP Gateway
  • Transport protocols: Server sent events (SSE), Stdio
  • HTTP/ JSON-RPC

Work in progress! keep a watch!