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Egy egyszerűbb módja az adatkészletekhez, modellekhez és erőforrásokhoz való hozzáférésnek, valamint a velük való munkának – mostantól elérhető az AIKosh Szoftverfejlesztői Készlet (SDK) segítségével, közvetlenül Pythonból. Tudj meg többet: pypi.org/project/aikosh/ aikosh.indiaai.gov.in/home #AIKosh #IndiaAI #PythonSDK #OpenSourceAI #AIForIndia @SecretaryMEITY @_DigitalIndia @mygovindia @GoI_MeitY @MEAIndia @IndianDiplomacy

A simpler way to access and work with datasets, models and resources - now available on AIKosh Software Development Kit (SDK) right from Python. Explore more: pypi.org/project/aikosh/ aikosh.indiaai.gov.in/home #AIKosh #IndiaAI #PythonSDK #OpenSourceAI #AIForIndia @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @sudeep_tweets @_DigitalIndia @mygovindia @GoI_MeitY
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A simpler way to access and work with datasets, models and resources - now available on AIKosh Software Development Kit (SDK) right from Python. Explore more: pypi.org/project/aikosh/ aikosh.indiaai.gov.in/home #AIKosh #IndiaAI #PythonSDK #OpenSourceAI #AIForIndia @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @sudeep_tweets @_DigitalIndia @mygovindia @GoI_MeitY
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Openalgo Weekly Downloads #PythonSDK
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The clock is ticking, Sovereign Repentance will not last forever…#SDF #PythonSDK #TAS_DNA #250th
Perhaps a restoration of dignity is in order
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国産OSS大規模言語モデルLLM jp4をLM StudioのPythonSDKから動かす|hi zenn.dev/hi/articles/2d2f159… #zenn
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現状のツッコミどころとしては、ツールが、Cinema 4DのPythonSDKと対象だったり非対称だったりするところ、カバー率まだ低いぽくて、eval_pythobに頼らないと出来ない操作が結構あるところ(特にバッチ処理
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Monorepo of JPYC Python SDKs JPYC関連のPython SDK群を一つのモノレポとして提供します。複数のコアSDKをまとめて管理でき、コンポーネント間の依存関係をスムーズに開発・利用できます。 #pythonsdk #AI #OSS #GitHub 【AI考察】 ■ 概要(1行) JPYC関連の複数のPython SDKを単一のモノレポとして提供し、依存管理の効率性を高めたライブラリ集です。 ■ 特徴・用途(2〜3行) モノレポ構造により、複数の関連SDK間の依存関係の管理が一元化されており、バージョン間の一貫性を保ちやすい点が強みです。また、最新の高速パッケージマネージャである`uv`を採用することで、開発・環境構築のスピードが保証されています。 特定ドメイン(JPYC)の機能をPythonで体系的に利用したい開発者向けに最適化されています。 ■ 結論(1行) 複数のコンポーネントを扱う大規模なアプリケーションにおいて、依存解決の迅速性と一貫性を求める場合に非常に有用です。 github.com/jcam1/python-sdk aiknowledgecms.exbridge.jp/o… #pythonsdk #AI #OSS #GitHub
Replying to @ramu0793
こんな感じで公開されてますよ。 github.com/jcam1/python-sdk
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FAIRINOをPythonSDK ビジョンをつけて 動かそうと思うのでWindows捨てます
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From RAG-enhanced flows to complex multi-stage AI pipelines @miranetwork Flows SDK lets you build, deploy, and scale AI applications without the headache. 🧠⚡ Create configurable workflows, integrate custom knowledge (PDFs, URLs, markdown), and even tap into a marketplace of pre-built AI solutions. All through a clean Python toolkit and simple YAML configs. Perfect for developers looking to move faster and smarter in the AI space. Start building your next intelligent application today. #MiraFlows #AIDevelopment #RAG #WorkflowAutomation #AIPipelines #PythonSDK #AIApps #BuildWithAI #DeveloperTools #LLM @wallchain
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4 Dec 2025
Building AI apps shouldn’t feel like stitching a dozen APIs together. Routing, load balancing, multi-model support, RAG, workflows devs need one place where everything just works. That’s why @miranetwork is a game-changer: one unified SDK to manage models, build flows, integrate knowledge, and scale AI systems without the chaos. The AI stack is finally becoming simple, powerful, and developer-first. ⚡🐍 #MiraNetwork #MiraFlows #AIInfra #LLMDev #PythonSDK #AIDevelopment #RAG #AIWorkflows #AgenticAI #DevTools @wallchain
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25 Nov 2025
Building AI apps shouldn’t feel like stitching together a dozen tools. And with @miranetwork Flows SDK, it finally doesn’t. From YAML-powered flows to custom RAG knowledge and multi-stage pipelines, @miranetwork is turning AI development into something fast, composable, and actually fun. The new era of agentic AI apps starts with devs and @miranetwork is handing them the superpowers. #MiraNetwork #MiraFlows #AIFlows #AIDevelopment #LLMApps #RAG #PythonSDK #AgenticAI #AIEngineering
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20 Nov 2025
今年我贡献了 python 生态里两个 top 5% 的 package: - agent-client-protocol,我创建和维护的 acp pythonsdk,目前是作为“官方”项目,top 3% ,被 kimi cli, fast agent 等使用。 - llama-index-tools-mcp,也是贡献到上游的第一个 mcp 解决方案,我创建但是后续由上游社区维护,top 3.5 %,mcp 就不多介绍了。 开心,继续努力!
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[@Talus_Labs 탈진남_CT] Nexus Protocol 아키텍처 형님들 안녕하세요! 오늘은 Nexus Protocol 아키텍처 파헤쳐볼게요. 이거 단순한 프레임워크가 아니라 전체 에이전트 경제 지탱하는 인프라거든요. 3계층 아키텍처의 설계 철학 제가 백서 뜯어봤는데요, Nexus는 온체인, 오프체인, 데이터 레이어로 구성돼요. 이 분리가 핵심이에요. 온체인 레이어는 Sui Move로 구현된 Nexus Onchain Package예요. Agent 권한, Tool 정의, Workflow 구조가 여기서 관리되죠. 불변성이랑 투명성 보장되어야 하는 로직만 온체인에 두는 거예요. 오프체인 레이어는 Leader Network예요. 실제 워크플로우 실행, Tool 호출, 데이터 라우팅이 여기서 일어나고요. 높은 처리량이랑 유연성 필요한 작업은 오프체인에서 처리하는 거죠. 데이터 레이어는 Walrus Protocol이에요. 모든 입력, 출력, 중간 상태가 여기 저장돼요. Talus Tools - 레고 블록 Talus Tool은 표준화된 인터페이스 가진 독립적 서비스예요. 입력 스키마, 출력 스키마, 실행 로직, 결제 방식이 다 정의되거든요. 예를 들어 가격 조회 Tool은 토큰 심볼 입력받아 현재 가격 반환해요. LLM Tool은 프롬프트 받아 텍스트 응답 생성하고요. DEX 거래 Tool은 거래 파라미터 받아 트랜잭션 실행하죠. 각 Tool은 독립적으로 개발, 배포, 업데이트돼요. Tool 개발자는 자기 서비스를 Nexus에 등록하고 사용량에 따라 수익 받는 거예요. 레고 블록처럼 조립해서 복잡한 시스템 만드는 거죠. Workflow as DAG Workflow는 방향성 비순환 그래프로 표현돼요. 각 노드는 Tool이고, 엣지는 데이터 흐름이에요. 병렬 실행 가능한 부분은 자동으로 최적화되고요. 예를 들어 투자 분석 워크플로우 보면, 시작 노드에서 여러 데이터 소스를 병렬로 조회해요. 가격 데이터, 소셜 미디어 감성, 온체인 지표를 동시에 가져오는 거죠. 다음 단계에서 각 데이터 분석하는 Tool들이 실행되는데, 이것도 병렬 가능해요. 기술적 분석, 감성 분석, 온체인 분석이 동시 진행되는 거예요. Leader Network - 신뢰 최소화 Leader Network는 워크플로우 실행 조정해요. Leader는 Tool 호출하고, 데이터 전달하며, 결과 검증하는데, Leader를 신뢰할 필요는 없어요. 초기 단계에서는 Talus Labs가 운영하는 중앙화된 Leader예요. 서비스 안정성이 우선이거든요. 근데 모든 실행은 온체인 기록되고, Walrus에 증거 남아요. 조작하면 즉시 드러나죠. 중기적으로 TEE(Trusted Execution Environment) 기반 Leader로 전환돼요. 장기적으로는 완전 분산형 Leader Network가 목표고요. Python SDK - Web2 개발자 진입점 제가 써봤는데요, Nexus의 Python SDK는 Web2 개발자들한테 친숙한 인터페이스 제공해요. Move 스마트 계약 직접 작성할 필요 없이, Python으로 Agent랑 Workflow 정의할 수 있거든요. Agent 생성하고, Tool 추가하고, Workflow 정의하는 게 몇 줄로 가능해요. 백그라운드에서 SDK가 Move 계약 호출, 트랜잭션 서명, 가스 관리 처리하는 거죠. 결론 Nexus Protocol은 단순한 프레임워크가 아니라 전체 에이전트 경제의 운영 체제예요. 모듈식 설계로 무한한 확장성 제공하고, 표준화된 인터페이스로 컴포저빌리티 보장하는 거죠. #TalusLabs #NexusProtocol #PythonSDK
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If you're building Al for finance, healthcare, e-commerce, or legal - you need control, not chaos. Get the beta: pip install git github.com/emcie-co/parlant@… Learn more: parlant.io #Parlant #AlAgents #LLM #PythonSDK #OpenSourceAl #AlEngineering
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2 Aug 2025
This week, we launched RunLLM v2, delivering AI Support Engineers that work how you work. We rebuilt the product to deliver smarter reasoning, deeper customization, and greater control—designed for the way support teams operate. Learn more about the launch here! ✅ Agentic Reasoning Engine Answers powered by multi-step planning, clarification, and tool use — including log analysis. 👉 Announcement: tinyurl.com/msvezn42 🎬 Demo Video: youtu.be/16Tc04ACn5I ✅ Workflow Customization SDK Define agent workflows in Python. Triage, escalate, sync, and act — across Slack, Zendesk, and more. 👉 Announcement: tinyurl.com/2s4zhhxr 🎬 Demo Video: youtu.be/r17datP1bl0 ✅ Reimagined User Interface Manage multiple agents, inspect reasoning traces, and fine-tune behavior — all in one place. 👉 Announcement: tinyurl.com/2p8ynes9 🎬 Demo Video: youtu.be/iVCTFVJmkcI RunLLM v2 powers support at companies like Databricks, Monte Carlo Data, Sourcegraph, Corelight, and Arize AI — helping teams deflect tickets, save engineering time, and improve CSAT. Learn more and try the full product on your own documentation for free with our easy self-service onboarding. 👉 Learn more at tinyurl.com/3sf3fp3e hashtag#RunLLM hashtag#RunLLMv2 hashtag#AI hashtag#SupportEngineering hashtag#AgenticReasoning hashtag#LaunchWeek hashtag#PythonSDK hashtag#UXforAI
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🌱 Farming robots turning real-world work into real rewards, this is the future of food supply, and it's being built on @peaq. From agriculture to AI, from drones to EVs, the Machine Economy is no longer a concept. It’s happening now, powered by peaq’s secure and scalable infrastructure on @Polkadot. 🤖 Projects like Combinder are making decentralized energy a reality. 🧠 Auki is pushing boundaries with spatial computing and autonomous AI agents. 🚜 Farming bots are becoming shared assets that communities can co-own and earn from. And for builders? peaq just made things even easier. 🐍 The new Python SDK is live! Build AI-powered machines and bring them onchain in just a few lines of code: → create machine IDs → store machine data → set role-based access → transfer tokens All modular, all ready on peaq. Coming soon: 🏭 Machine Station Factory 🕒 Universal Machine Time 💡 So, wen your DePIN on peaq? Now’s the time. Use the updated docs and start building today: 🔗 docs.peaq.xyz/sdk-reference/… Let’s shape a future where machines don’t just work for us, they work with us. #peaq #DePIN #MachineEconomy #AI #Web3 #Robotics #Farming #Auki #Combinder #PythonSDK #Polkadot
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10 Jul 2025
The Peaq Python SDK is now live, giving developers an easy way to build AI-powered apps and infrastructure for the Machine Economy on @Peaq Network With just a few lines of Python, you can now: → Create machine IDs (decentralized identities for machines) → Store data securely on-chain → Set up role-based access control (RBAC) → Transfer tokens across the peaq network This SDK brings plug-and-play functionality to Python devs building for DePINs, IoT, robotics, and machine-native apps. It complements peaq’s JavaScript SDK and supports a wide range of devices, including Android, iOS, and Raspberry Pi. Coming soon: • Machine Station Factory – deploy machine nodes at scale • Universal Machine Time (UMT) – nanosecond-level time sync across devices Install via pip: pip install peaq-py The infrastructure for the Machine Economy is now just a few lines of code away. #peaq #PythonSDK #DePIN #Web3 #MachineEconomy
10 Jul 2025
import peaq build(AI for Machine Economy) You guessed it—peaq just got its Python SDK 🔗 docs.peaq.xyz/sdk-reference/… Connect to peaq and use peaq’s modular functions in just a few lines of code: → create machine IDs → store data → set up role-based access control → transfer tokens Coming up: → Machine Station Factory → Universal Machine Time Building AI for the Machine Economy has never been easier
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🚀 MultiMindSDK v0.2.1 is LIVE – faster, cleaner & more dev-friendly than ever! 📦 pip install multimind-sdk==0.2.1 🛠️ Features: • 🔄 Model Conversions (Transformers ↔️ GGUF, ONNX, CoreML, TFLite) • 🧠 Fine-Tuning Prompt Engineering • 🤖 Model-Agnostic Agent Pipelines • 🪄 CLI Python SDK (No-Code Coming Soon) • ☁️ Cloud & Edge Ready • 🔗 Ollama, Hugging Face, OpenAI, Mistral & more 📝 README got a big update – smooth onboarding in minutes 🔗 Release v0.2.1 💥 Huge shoutout to @Nikhil_Kumar98 for the solid contributions! 💻 GitHub: github.com/multimindlab/mult… 🌐 Website: multimind.dev #MultiMindSDK #OpenSourceAI #LLMops #AIDevTools #FineTuningModels #TransformersAndBeyond #PythonSDK #GenAIStack #BuildWithAI #ModelConversion #LangChainAlternative
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1 Jul 2025
Fresh Updates from Hibachi_xyz Cooking Up More Cool Features! 🍣🔥 @hibachi_xyz is moving fast! They just released their Python SDK fresh off the grill and ready for developers to use. This makes it easier to build and interact with their platform using Python. But they’re not stopping there. The team is busy cheffing up more nice features for this week to improve user experience and add exciting tools. Heads up the points program might get a reset soon to keep things fresh and fun for everyone involved. It’s clear Hibachi_xyz is all about moving quick and serving up quality, just like a real hibachi grill! Stay tuned things are heating up. #Hibachi_xyz #PythonSDK
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