Why Your Agent Harness Defines Everything: Memory, Context, and the Future of AI Agents
**Your Harness, Your Memory** There’s an important conversation happening in the AI world right now,…
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GitHub – QwenLM/Qwen-Agent: Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
If you’ve been exploring AI agents lately, you’ve probably felt that mix of excitement and…
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GitHub – jamwithai/production-agentic-rag-course
Build a Real AI Research Assistant, Not Just Another Demo If you’ve ever followed a…
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how to build an agent that never forgets
Rohit, in a recent thread, describes how a failed interview pushed him to rethink agent…
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LLMs Explained: Context Stuffing vs. Updating Model Weights
A practical look at LLM memory: stuffing context vs updating weights If you’ve ever shoved…
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Published
The Context Engineering Guide (weaviate.io)
When you first play with a Large Language Model, it feels like magic. Then the…
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GitHub – langgenius/dify: Production-ready platform for agentic workflow development.
Quick guide to Dify, the open-source platform for agentic workflows If you’re curious about building…
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ChristopherLyon/graphrag-workbench: Interactive 3D visualization of knowledge graphs generated by Microsoft GraphRAG.
Explore knowledge graphs in 3D with GraphRAG Workbench If you like poking around data until…
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Guide to Learning AI Agents
Note: the original deep link to the image/article was not provided. For a related, official…
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Agentic RAG with MCP Workflow Diagram
Agentic RAG with MCP, in plain terms You’ve probably seen diagrams that look complicated at…