Search Results for "multi-system" - Page 8
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Showing 2679 open source projects for "multi-system"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
...It can be used to prepare raw data or improve existing training data to get more accurate ML models. The frontend part of Label Studio app lies in the frontend/ folder and written in React JSX. Multi-user labeling sign up and login, when you create an annotation it's tied to your account. Configurable label formats let you customize the visual interface to meet your specific labeling needs. Support for multiple data types including images, audio, text, HTML, time-series, and video. -
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SparkyFitness
Track food, fitness, water, and health
...It provides tools for logging daily meals with nutritional breakdowns, tracking workouts with an extensive exercise database, and visualizing long-term progress using interactive charts and reports. The system also supports water intake goals, body metric logging (such as weight and measurements for different muscle groups), and customizable goals to help users stay motivated and accountable. An AI-powered nutrition coach is included, allowing users to log food, exercise, and steps through natural language chat and even upload food images for automatic analysis. ... -
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HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
...The repository includes pretrained weights, inference and sampling scripts, training code for LoRA effects, and support for parallel inference via xDiT. Resolution, video length, stability mode, flow shift, seed, CPU offload etc. Parallel inference support using xDiT for multi-GPU speedups. LoRA training / fine-tuning support to add special effects or customize generation. -
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AWS GenAI LLM Chatbot
A modular and comprehensive solution to deploy a Multi-LLM
...The project is built as a modular blueprint that helps organizations stand up a production-oriented chat experience rather than a simple demo, combining model access, knowledge retrieval, storage, security, and user interface components into one deployable system. It supports multiple model providers and endpoints, giving teams flexibility to work with Amazon Bedrock, SageMaker-hosted models, and additional model access patterns through related integrations. A major part of the design is its RAG layer, which enables the chatbot to pull contextual knowledge from connected data sources so responses can be grounded in enterprise content rather than relying only on model memory. -
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DeepChat
A smart assistant that connects powerful AI to your personal world
DeepChat is an open‑source, multi‑model AI chat platform featuring a unified interface for cloud and local language models, enriched with tool‑calling capabilities, search enhancements, privacy protection, and extensive model support. DeepChat is a powerful open-source AI chat platform providing a unified interface for interacting with various large language models. -
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designlang
Extract any website's complete design system with one command
...The tool supports exporting to frameworks like Tailwind, SwiftUI, Flutter, and WordPress, making it highly versatile for cross-platform development. It also integrates with tools like Figma and shadcn, enabling seamless design-to-code workflows. The system includes accessibility analysis features, such as WCAG compliance checks and CSS health audits, helping developers improve usability and standards compliance. It can be used via CLI or browser extension, making it flexible for different workflows. Overall, design-extract automates the process of reverse-engineering design systems, significantly accelerating frontend development. -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works. ... -
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chat
chat web app for teams, sass with user management and ratelimit
chat is a team-oriented chat web application delivered as a SaaS-style system with built-in user management, rate limiting, and support for several major model providers. It is positioned as a collaborative chat platform rather than a single-user demo, which is reflected in its administrative structure, multi-user handling, and deployment-oriented documentation. The project supports OpenAI, Azure OpenAI, Claude, Gemini, and Ollama-hosted models, giving teams flexibility in how they connect model backends. ... -
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UNO
A Universal Customization Method for Single and Multi Conditioning
UNO is a project by ByteDance introduced in 2025, titled “A Universal Customization Method for Both Single and Multi-Subject Conditioning.” It suggests a framework for image (or more general generative) modeling where the model can be conditioned either on a single subject or multiple subjects — which may correspond to generating or customizing images featuring specific people, styles, or objects, possibly with fine-grained control over subject identity or composition. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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ChatGPT-Telegram-Workers
Deploy your own Telegram ChatGPT bot on Cloudflare Workers with ease
...Use Cloudflare Workers, single file, copy and paste directly, no dependencies required, no need to configure local development environment, no domain name required, serverless. You can customize the system initialization information so that your debugged personality never disappears. -
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LitServe
Minimal Python framework for scalable AI inference servers fast
LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. LitServe is built on top of FastAPI and extends it with AI-specific optimizations such as efficient multi-worker execution, which can significantly improve throughput. ... -
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Open CoDesign
Open-source Claude Design alternative
...It is designed as a local-first alternative to cloud-based design tools, allowing users to run everything on their own machine while bringing their own AI model and API keys. The system supports multiple model providers and integrates directly with existing developer tools, enabling seamless workflows without vendor lock-in. It generates HTML, React components, PDFs, and other outputs in real time, rendered in a sandboxed preview environment. The architecture emphasizes privacy, with all data stored locally and no mandatory accounts or telemetry. ... -
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9Router
Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline
...It includes smart routing logic that can automatically redirect requests between premium, low-cost, or free providers based on quotas, availability, or configuration rules. The system also offers a local dashboard for monitoring quotas, providers, models, and routing behavior in real time. 9router emphasizes flexibility and uninterrupted workflows by supporting failover mechanisms, provider pooling, and configuration-driven request management. Overall, it functions as a centralized AI gateway optimized for coding, experimentation, and multi-provider orchestration workflows. -
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Index
The SOTA Open-Source Browser Agent
Index is an open-source browser automation agent designed to autonomously perform complex tasks across websites by transforming web interfaces into programmable APIs. The system enables developers to instruct an AI agent to interact with web pages using natural language rather than traditional automation scripts. Instead of writing detailed browser automation code, users can describe the desired task and allow the agent to interpret the page structure, interact with elements, and complete multi-step workflows automatically. ... -
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MaxKB
Open-source platform for building enterprise-grade agents
...It focuses on practical deployments such as customer support, internal knowledge bases, research assistants, and education, bundling tools for data ingestion, chunking, embedding, retrieval, and answer synthesis. The system exposes flexible tool-use (including MCP), supports multi-model backends, and provides dashboards for dataset management and evaluation. It’s backed by an active org that also builds adjacent ops tooling, and there’s a dedicated documentation repo for configuration and contribution. Community posts describe “self-host your ChatGPT-style assistant” positioning, with integrations and workflows to move from demo to production. ... -
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Chonkie
The no-nonsense RAG chunking library
Chonkie is an AI-powered framework designed for building conversational agents and chatbots with natural language understanding and multi-turn conversation support. -
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Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
Inkeep is an open-source framework for building and deploying AI agent workflows and interactive assistants that operate autonomously across applications, enterprise environments, and customer engagement use cases. It lets developers and non-technical users create, manage, and orchestrate multi-agent systems using both a no-code visual builder and a full TypeScript SDK, giving two ways to define agent behaviors that stay in sync with each other. Agents built with this framework can act as real-time conversational assistants — for example, handling help desk inquiries, providing internal support to teams, or driving in-app experiences — and they can be extended to automate multi-step tasks that interact with external systems like CRMs, knowledge bases, or ticketing systems. ... -
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SAM 3D Objects
Models for object and human mesh reconstruction
...The model is specifically designed to be robust in real-world images with clutter, occlusions, small objects, and unusual viewpoints, where many earlier 3D-from-image systems struggle. It supports both single-object and multi-object generation, allowing you to reconstruct entire scenes rather than just isolated items. The repository provides code to run inference, a quickstart demo.py script, and environment setup instructions that connect to hosted checkpoints and configuration files. Outputs are aimed at downstream usability: the reconstructed assets are textured meshes suitable for further editing, rendering, or integration into 3D pipelines and engines. -
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CrewAI
Framework for orchestrating role-playing, autonomous AI agents
...CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. -
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Kong
The Cloud-Native API Gateway
Kong is a next generation cloud-native API platform for multi-cloud and hybrid organizations. When building for the web, mobile, or Internet of Things, you’ll need a common functionality to run your software, and Kong is that solution. Kong acts as a gateway, connecting microservices requests and APIs natively while also providing load balancing, logging, monitoring, authentication, rate-limiting, and so much more through plugins. -
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Rowboat
Open-source AI coworker, with memory
Rowboat is an open-source, local-first AI automation and multi-agent development platform designed to help developers and knowledge workers create, orchestrate, and manage intelligent workflows with minimal boilerplate and maximum flexibility. It functions as both an AI-powered IDE and a CLI that lets you build multi-agent systems using natural language prompts, connect to MCP and agent tool servers, and integrate automations into everyday work tasks like summarizing emails or generating knowledge artifacts. ... -
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LLM Council
LLM Council works together to answer your hardest questions
...Instead of relying on one provider, this application sends your query simultaneously to several LLMs supported via OpenRouter, collects each model’s independent response, and then orchestrates a multi-stage evaluation where the models critique and rank each other’s outputs anonymously. After this peer-review process, a designated “Chairman” model synthesizes a final consolidated answer drawing on the strengths and insights of all participants. The interface looks like a familiar chat app but under the hood it implements this ensemble and consensus workflow to reduce bias and leverage diverse reasoning styles. -
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EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
EverMemOS is an open-source memory operating system built to give AI agents long-term, structured memory. It captures conversations, transforms them into organized memory units, and enables agents to recall past interactions with context and meaning. Instead of treating each prompt independently, it builds evolving user profiles, tracks preferences, and connects related events into coherent narratives. -
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KVCache-Factory
Unified KV Cache Compression Methods for Auto-Regressive Models
...The framework integrates several state-of-the-art methods such as PyramidKV, SnapKV, H2O, and StreamingLLM, allowing researchers to compare and experiment with different approaches within the same environment. It also supports advanced inference configurations such as Flash Attention v2 and multi-GPU inference setups for very large models. -
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GLM-TTS
Controllable & emotion-expressive zero-shot TTS
...The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone-rich languages.
