Search Results for "context" - Page 29
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Showing 1845 open source projects for "context"
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HunyuanImage-3.0
A Powerful Native Multimodal Model for Image Generation
...The model is intended to be competitive with closed-source image generation systems, aiming for high fidelity, prompt adherence, fine detail, and even “world knowledge” reasoning (i.e. leveraging context, semantics, or common sense in generation). The GitHub repo includes code, scripts, model loading instructions, inference utilities, prompt handling, and integration with standard ML tooling (e.g. Hugging Face / Transformers). -
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5ire
5ire is a cross-platform desktop AI assistant, MCP client
...If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises. MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. -
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Parcel
The zero configuration build tool for the web
Parcel combines a great out-of-the-box development experience with a scalable architecture that can take your project from just getting started to a massive production application. Parcel starts with a great development experience, from starting a new project to iterating and debugging, and shipping to production. No more fiddling with configuration, or spending hours to keep up with best practices – it just works! Parcel supports many languages and file types out of the box, from web... -
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weixin-agent-sdk
Bridging framework for connecting arbitrary AI agents
...The SDK supports text, images, audio, video, files, quoted content, and voice transcription data. Bots can also proactively send messages after the required conversation context has been established. Long polling eliminates the need for a public server, while media is automatically downloaded, decrypted, processed, and transferred through Weixin's CDN. -
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OpenHuman
Your Personal AI super intelligence. Private, simple and powerful
OpenHuman is an open-source personal AI assistant built to operate as a daily-life agent rather than a simple chatbot. It focuses on a private, desktop-first experience with a friendly interface, onboarding flows, and a persistent assistant that can remember context over time. The project connects to common productivity tools, gathers fresh information from integrations, and organizes user knowledge into a local memory system. It also includes practical agent tools such as web search, web fetching, file access, coding utilities, voice input, text-to-speech, and model routing. Its goal is to make an AI assistant feel continuously useful across meetings, messages, documents, tasks, and personal workflows. ... -
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Hindsight
Hindsight: Agent Memory That Learns
...Instead of relying solely on vector similarity or basic retrieval techniques, Hindsight organizes information into distinct categories such as facts, experiences, beliefs, and observations, allowing agents to differentiate between raw data and inferred knowledge. The system operates through three core mechanisms—retain, recall, and reflect—which respectively handle storing information, retrieving relevant context, and generating new insights based on accumulated experience. -
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ai-renamer
A Node.js CLI that uses Ollama and LM Studio models
...Instead of relying on manual naming or metadata, the tool analyzes the actual content of files, including images, videos, and documents, to generate descriptive and context-aware filenames. It integrates with local and cloud-based AI providers such as Ollama, LM Studio, and OpenAI, allowing users to choose between offline and API-based workflows depending on their needs. The tool supports batch processing, making it particularly useful for organizing large collections of files quickly and efficiently. ... -
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Conversational Health Agents (CHA)
A Personalized LLM-powered Agent Frameworks
...It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. The framework supports modular components such as planning, tool execution, and multimodal input processing, which makes it suitable for complex healthcare applications. It also includes a web-based interface for interacting with the agent, making it accessible for testing and deployment in real-world scenarios. -
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Playwright Skill for Claude Code
Claude Code Skill for browser automation with Playwright
...The system supports a wide range of use cases, including testing web applications, validating user interfaces, automating workflows, and extracting data from websites. One of its key advantages is its ability to generate custom Playwright code tailored to each request, allowing flexible and context-aware automation. -
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Talk to Figma MCP
AI bridge enabling Cursor agents to read and modify Figma designs
cursor-talk-to-figma-mcp is an open source integration that connects AI coding agents with Figma through the Model Context Protocol (MCP). It allows AI tools such as Cursor or other compatible agents to directly communicate with Figma documents and interact with design elements programmatically. Through this integration, an AI assistant can read the structure of a design, retrieve information about nodes or selections, and perform modifications to the layout or content. cursor-talk-to-figma-mcp includes an MCP server and a Figma plugin that communicate through a WebSocket connection, enabling real-time interaction between the AI environment and the design canvas. ... -
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LongWriter
Unleashing 10,000+ Word Generation from Long Context LLMs
LongWriter is an open-source framework and set of large language models designed to enable ultra-long text generation that can exceed 10,000 words while maintaining coherence and structure. Traditional large language models can process large inputs but often struggle to generate long outputs due to limitations in training data and alignment strategies. LongWriter addresses this challenge by introducing a specialized dataset and training approach that encourages models to produce longer... -
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dLLM
dLLM: Simple Diffusion Language Modeling
...Unlike traditional autoregressive models that generate text sequentially token by token, diffusion language models generate text through an iterative denoising process that refines masked tokens over multiple steps. This approach allows models to reason over the entire sequence simultaneously and potentially produce more coherent outputs with bidirectional context. The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. The framework includes scalable training infrastructure inspired by modern deep learning toolkits and supports integrations with widely used libraries for distributed training. -
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Reader LLM
Convert any URL to an LLM-friendly input with a simple prefix
...In addition to converting individual pages, the service can perform web searches and return relevant content that can be ingested directly by AI systems. The tool relies on specialized models and parsing techniques to handle complex HTML structures and extract meaningful content while preserving important context. -
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CUDA Agent
Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
CUDA Agent is a research-driven agentic reinforcement learning system designed to automatically generate and optimize high-performance CUDA kernels for GPU workloads. The project addresses the long-standing challenge that efficient CUDA programming typically requires deep hardware expertise by training an autonomous coding agent capable of iterative improvement through execution feedback. Its architecture combines large-scale data synthesis, a skill-augmented CUDA development environment,... -
15
FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
16
Timesketch
Collaborative forensic timeline analysis
...Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging, sketch notes, and story building so teams can annotate findings and share context without losing the raw data trail. Integrations with popular DFIR pipelines make ingestion repeatable, while role-based access and audit logs support enterprise workflows. By combining scale, collaboration, and reproducibility, Timesketch moves incident response beyond ad-hoc spreadsheets to a durable, team-oriented investigation record. -
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serenity
A Rust library for the Discord API
...It wraps Discord’s HTTP and gateway systems so developers can handle messages, events, commands, cache data, and bot sessions from Rust. The library provides a client builder, token validation, event dispatching, context objects, and handlers for reacting to Discord activity. It also manages gateway shards transparently, which reduces the complexity of scaling bot connections. Serenity includes examples for common bot behaviors and can be paired with related Rust projects such as poise for command frameworks and songbird for voice. It is best suited for developers who want Discord API access with Rust’s safety, performance, and async ecosystem. -
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Saeba's Blog
Where Saeba writes his blog, he plans to write four series: JavaScript
...Rather than being a software package, it functions as a structured educational repository for developers who want to understand how JavaScript features work under the hood. Many articles focus on concepts such as execution context, scope, prototypes, closures, debounce, throttle, deep copy, currying, and implementation patterns inspired by popular libraries. The repository is useful for self-study, interview preparation, and deeper frontend fundamentals. Its long-running popularity comes from explaining difficult concepts in a systematic and practical way. -
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ChatGPT2API
The reverse implementation of the ChatGPT official website interface
ChatGPT2API is a proxy service that converts ChatGPT web interactions into an API-compatible interface, enabling programmatic access to chat functionality. It allows developers to integrate ChatGPT-like capabilities into applications without relying directly on official APIs. The system works by bridging browser-based sessions with API-style endpoints, translating requests and responses seamlessly. It supports features such as conversation continuity and parameter customization. The project... -
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Fig Autocomplete
IDE-style autocomplete for your existing terminal & shell
Fig Autocomplete is a tool that brings IDE‑style autocomplete to your existing terminal and shell, providing context‑aware suggestions, subcommand options, arguments, descriptions, and themes to enhance your command‐line experience. Amazon Q for command line uses the Accessibility API on Mac to position the window, and integrates with your shell to read what you've typed. Edit your spec in TypeScript in the src/ folder. In dev mode, specs are read from the build folder, and generators run every keystroke. ... -
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OpenAI Agents (Python)
A lightweight, powerful framework for multi-agent workflows
openai-agents-python is a library developed by OpenAI to simplify the process of creating and running agents that interact with tools and APIs using OpenAI models. It provides abstractions for tool usage, memory management, and agent workflows, enabling developers to define function-calling agents that reason through multi-step tasks. Ideal for building custom AI workflows, the library supports dynamic tool definitions and contextual memory handling. -
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julep
A new DSL and server for AI agents and multi-step tasks
Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios. -
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git-autofixup
Create fixup commits for topic branches
git-autofixup parses hunks of changes in the working directory out of git diff output and uses git blame to assign those hunks to commits in <revision>..HEAD, which will typically represent a topic branch, and then creates fixup commits to be used with git rebase --interactive --autosquash. It is assumed that hunks near changes that were previously committed to the topic branch are related. <revision> defaults to git merge-base --fork-point HEAD @{upstream} || git merge-base HEAD... -
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GLFW.jl
Julia interface to GLFW, a multi-platform library for creating windows
Julia interface to GLFW 3, a multi-platform library for creating windows with OpenGL or OpenGL ES contexts and receiving many kinds of input. GLFW has native support for Windows, OS X and many Unix-like systems using the X Window System, such as Linux and FreeBSD. -
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Open Science
Open Science is an open-source, local-first, model-agnostic research
...Users can inspect tool activity, approve sensitive actions, branch earlier conversations, and compare alternative research paths without losing prior work. Immutable artifact versions and detailed provenance connect results to code, inputs, execution history, environment evidence, conversation context, and review findings.
