Learn

How to Build Your Own Local AI Agent with Tool Calling and Memory

Freecodecamp

In this tutorial, I'll show you how to build a local AI agent with tool calling and short-term memory using LangChain v1, Ollama, Qwen, and Python.

Visit Site

How to Build Your Own Local AI Agent with Tool Calling and Memory
How to Build Your Own Language-Specific LLM [Full Handbook]Freecodecamp How to Build Your Own AI App Builder Like Lovable with Next.js, AWS and SandboxesFreecodecamp How to Build a Multi-Tenant SaaS Platform with Next.js, Express, and PrismaFreecodecamp How to Build an Agentic Terminal Workflow with GitHub Copilot CLI and MCP ServersFreecodecamp How to Build a Voice-Powered AI Application with the Web Speech APIFreecodecamp How to Build a Self-Learning RAG System with Knowledge ReflectionFreecodecamp How we grew Mintlify by doing things that don't scaleMintlify 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify State of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram Calling Your Video Game With Your Phone: Part 1Deepgram Build a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram Automate Audio Transcription with Zapier + DeepgramDeepgram Local Kubernetes Development Using Minikube and Redis EnterpriseRedis Let’s Play Master and Servant: Real Time Synchronization Tool for Redis MigrationRedis How to Conduct an AI Agent Security Audit [+ Checklist]Zapier WooCommerce: App spotlightZapier Grafana Is Not Worried About AWS CommercializationThenewstack DevSecOps: Why Security Shouldn’t be Sacrificed for SpeedThenewstack Security Considerations for API-Driven Apps Deployed to CloudThenewstack Real Go Projects: SmartTwitter and web.go - The Go Programming LanguageGo