MCP Proxytakes Docker's isolation to a higher plane. It sidesteps the security landmines ofnpxanduvxwhile morphing MCP intoSSE. Think of it as a clever hack against supply chain skullduggery... read more  

mcp-playwrightnow handles29 MCP tool calls, whipping up Python or JS code like a true pro. Agents, remember: "startcodegensession" for scripts that don't miss a beat!.. read more  

AI agents are evolving from simple chatbots into powerful, tool-using assistants capable of web search, automation, and even reasoning. This guide walks you through building your first agent using the Agno Python library—from setup and tool integration to memory and RAG features. With just a few lin.. read more  

Get insights on the latest trends from GitHub experts while catching up on these exciting new projects... read more  

Amazon Bedrock's multi-agent frameworkacts like a brain transplant for your AI projects. It lets you unleash specialized AI agents on beastly tasks likefinancial analysis. Why rely on a lone LLM when you can have a band of them tackling the complexities of high-stakes operations? This approach zeroe.. read more  

Anthony Jancsoaims to unleashAI agentson more than 300 tasks across federal fronts. Translation: watch out, 70k jobs might vanish. Unsurprisingly, not everyone's cheering; brace for the fireworks... read more  

Daggerjust cranked its engine into overdrive with nativeLLMintegration. Now, AI agents can rev through your CI/CD workflows, automating tasks like code reviews with impressive flair. The new configuration lets LLMs jive with programmable building blocks in your code, all securely sandboxed. Consider.. read more  

Model Context Protocol (MCP)is like that cool tool you didn't know you needed. It's a nimble bridge between LLM models and developer tools, though someday it might just become the backbone of future libraries—nothing fancy, just fundamental. EnterFastMCP, the under-the-radar hero. Fire it up, and it.. read more  

Graceusesbidirectional type inferenceto simplify prompt chaining. No more wrestling with schema definitions. Think: less JSON, more wizardry... read more  

AWS S3 choked, and prediction accuracy took a nosedive. Voilà: an uninvited reminder thatexplainable infrastructureis crucial for genuine AI transparency. It’s not just a hunch—47% of AI downtime stems from these scaffolding snafus. Luckily, warriors likeOpenTelemetryandGrafanastep up, offering a wa.. read more