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Building Agents using LangGraph
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Building Agents using LangGraph

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jameskanyiri/README.md

James Kanyiri

Member of Technical Staff @ Bayes Consulting | Senior LangGraph AI Engineer

I build AI agents and backend systems. Most of my work involves the LangChain ecosystem — LangGraph, LangChain, LangSmith, and LangGraph Studio — designing agent architectures, workflows, and tooling for real problems.

I also run LangChain Community Kenya.

What I'm building

  • PayeLink — A developer framework for agent-to-agent discovery, identity, payment, and evaluation
  • Workpods — An AI workspace where teams collaborate with any AI model, research deeply, and ship polished work

Writing

Tech

Languages: Python, TypeScript Backend: FastAPI, Next.js AI & Agents: LangGraph, LangChain, LangSmith Other: PostgreSQL, MongoDB, Docker

Connect

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  1. payelink/payelink-agent-search-sdk payelink/payelink-agent-search-sdk Public

    Reference implementation of the Payelink Agent Discovery Protocol. Discover AI agents published by organizations via standardized registries.

    Python 1 1

  2. payelink-agent-pay-sdk payelink-agent-pay-sdk Public

    Forked from payelink/payelink-agent-pay-sdk

    Python SDK for Payelink Agent Pay - Enables agent-to-agent payments through wallet transfers. Provides a simple, type-safe interface for transferring funds between agent wallets via the Payelink Pa…

    Python 1

  3. payelink-agent-identity-sdk payelink-agent-identity-sdk Public

    Forked from payelink/payelink-agent-identity-sdk

    A production-ready, W3C DID Core v1.0 compliant Python SDK and CLI tool for creating, managing, and resolving Decentralized Identifiers (DIDs) for AI agents. Built with type safety, full specificat…

    Python