Michael P.O
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Ai

Artificial intelligence platforms, models, and applied use cases.

Ai Ai-agents Developer-tools Python

MemPalace: a local-first memory system for AI agents

If you use an agentic coding tool day to day, you’ve hit the same wall repeatedly: every new session starts from zero. MemPalace is a local-first memory system built to fix exactly that

Michael Michael
Ai Ai-agents Automation Python

AutoGen: Microsoft's framework for building AI agents and multi-agent applications

AutoGen is Microsoft’s open-source framework for building AI agents and multi-agent applications. It started as a Microsoft Research project and pioneered ideas like GroupChat orchestration and an event-driven agent runtime — concepts that

Michael Michael
Ai Generative-ai Claude-code Deepseek Developer-tools

Using Claude Code with DeepSeek — cut AI coding costs without sacrificing quality

Claude Code is one of the most capable AI coding agents available today — but it defaults to Anthropic’s hosted models, and those tokens add up fast. If you want the same agentic

Michael Michael
Ai Generative-ai Video-generation Devops

Discover the MiniMax AI platform

The AI landscape is evolving fast, and a new wave of platforms is making sophisticated generative AI — video, audio, images, and text — accessible to every developer. MiniMax is one of those

Michael Michael
Langchain Ai Ai-agents Python Automation

LangChain Deep Agents: Building Autonomous Coding Agents

LangChain has open-sourced Deep Agents, a powerful framework for building autonomous AI agents that can handle complex, multi-step tasks reliably. Unlike typical “shallow” tool-calling LLM agents, Deep Agents combine task planning, persistent memory,

Michael Michael
Copilot Ai Monitoring Opentelemetry

Copilot - Monitor Agent Usage with OpenTelemetry

OpenTelemetry has become the standard for telemetry over the last few years. With the rise of LLM applications and agentic AI, the need for observability, auditing, and usage tracking is growing just as

Michael Michael
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