Brijesh Kumar Singh (@brijeshcaet)
NucleusIQ가 오픈소스 에이전트 우선 프레임워크로 소개됐다. 도구는 함수로, 설정은 dataclass로 다루는 단순한 구조를 강조하며, OpenAI와 Gemini용 패키지 설치 예시도 제공한다. 에이전트 개발을 간소화하려는 프레임워크 업데이트다.
@GroqInc NucleusIQ is an open-source Agent-first framework. Your tools are functions. Your config is a dataclass. If you've ever felt like your agent framework is the hardest part of your agent — try it: pip install nucleusiq nucleusiq-openai # or nucleusiq-gemini GitHub:
Brijesh Kumar Singh (@brijeshcaet)
Groq 기반의 NucleusIQ 베타가 공개됐다. 실제 에이전트 구축을 목표로 하며, 툴 연결과 실행 모드 확장을 쉽게 할 수 있는 옵션을 제공한다. NucleusIQ는 에이전트 우선 오픈소스 프레임워크로, 팀이 데모가 아닌 실사용 에이전트를 만들 수 있도록 설계됐다.
@GroqInc meets NucleusIQ — nucleusiq-groq is in beta. We’re excited to ship a Groq-backed option for teams building real agents, not one-off demos. Same mental model, you use elsewhere in NucleusIQ: wire up your agent, add tools when you need them, scale execution mode when the
RT @Zai_org: GLM-5V-Turbo Tech Report: Auf dem Weg zu einem nativen Foundation-Modell für multimodale Agenten
mehr auf Arint.info
#AgentFramework #FoundationModel #GLM5V #MultimodalAI #ReinforcementLearning #TechReport #arint_info
<p>RT @Zai_org: GLM-5V-Turbo Tech Report: Auf dem Weg zu einem nativen Foundation-Modell für multimodale Agenten</p> <p><a href="https://arint.info/@Arint/116544045547793628">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#AgentFramework #FoundationModel #GLM5V #MultimodalAI #ReinforcementLearning #TechReport #arint_info</p> <p><a href="https://x.com/Zai_org/status/2052426777654387168#m">https://x.com/Zai_org/status/2052426777654387168#m</a></p>
Show HN: Airlock – self-upgrading compiled AI agents
Airlock은 코드와 AI를 결합한 자율 실행 바이너리 에이전트를 생성하고 운영하는 플랫폼입니다. Go 언어로 작성된 에이전트는 반복적이고 결정론적인 작업은 코드로 처리하고, AI 호출이 필요한 경우에만 LLM을 활용합니다. 에이전트는 채팅, 웹, 크론, 웹훅 등 다양한 인터페이스로 상호작용 가능하며, 자체 업그레이드를 통해 새로운 도구 생성이나 오류 수정이 가능합니다. OAuth 관리, 저장소, 샌드박스, 웹 UI, 텔레그램/디스코드 연동 등도 지원합니다. 현재 알파 버전이며, 향후 에이전트 간 호출, 원격 에이전트 지원 등이 계획되어 있습니다.
https://github.com/airlockrun/airlock/
#aiagent #go #selfupgrading #autonomoussystems #agentframework
via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider …
Build intelligent AI agents in .NET with the Microsoft Agent Framework. Learn how to create agents with tools, multi-turn conversations, memory, and graph-based workflows that bring together the building blocks from Parts 1 and 2.
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Building an AI-Powered Conference App with .NET’s Composable AI Stack
https://devblogs.microsoft.com/dotnet/building-ai-conference-app-dotnet-composable-stack/ #dotnet #AI #agentframework #aspire #dataingestion #MCP #MEAI #vectordata
Building an AI-Powered Conference App with .NET’s Composable AI Stack
https://devblogs.microsoft.com/dotnet/building-ai-conference-app-dotnet-composable-stack/
#microsoft #NET #AI #agentframework #aspire #dataingestion #MCP #MEAI #vectordata
Learn how we built ConferencePulse, an AI-powered conference assistant, using .NET's composable AI stack including Microsoft.Extensions.AI, DataIngestion, VectorData, Model Context Protocol, and Microsoft Agent Framework.
From the .NET blog...
Building an AI-Powered Conference App with .NET’s Composable AI Stack
https://devblogs.microsoft.com/dotnet/building-ai-conference-app-dotnet-composable-stack/ #dotnet #AI #agentframework #aspire #dataingestion #MCP #MEAI #vectordata
Microsoft Agent Framework for .NET v1.3.0 Release | GitHub
https://github.com/microsoft/agent-framework/releases/tag/dotnet-1.3.0
#dotnet #agentframework #ai #csharp agents #aspire
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