Search Results for "context" - Page 30
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Showing 2139 open source projects for "context"
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Ax
Build LLM powered Agents and "Agentic workflows"
...We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with. -
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glbinding
A C++ binding for the OpenGL API, generated using the gl.xml specifica
A C++ binding for the OpenGL API, generated using the gl.xml specification. glbinding leverages C++11 features like enum classes, lambdas, and variadic templates, instead of relying on macros; all OpenGL symbols are real functions and variables. It provides type-safe parameters, per-feature API headers, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as tools and examples for quick-starting your projects. Based on the OpenGL API specification (gl.xml) glbinding is generated using Python scripts and templates that can be easily adapted to fit custom needs. -
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Jaeger
Monitor and troubleshoot transactions in complex distributed systems
As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application. Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber... -
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RoguePlanet
https://github.com/MSNightmare/RoguePlanet
RoguePlanet is a proof-of-concept repository focused on a Windows Defender vulnerability. The project describes a race-condition issue that can behave inconsistently depending on machine state, timing, and environment. Its README states that it was tested on Windows 11 and Windows 10 systems with the June 2026 patch installed. The repository includes a C++ source file, a compiled executable, a license, and a short explanation of the vulnerability behavior. Because the project concerns... -
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GLM-4-Voice
GLM-4-Voice | End-to-End Chinese-English Conversational Model
...GLM-4-Voice builds upon the bilingual strengths of the GLM architecture, supporting both Chinese and English, and is designed to handle long-form conversations with context retention. The repository provides model weights, inference demos, and setup instructions for deploying speech-enabled AI systems. -
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Scala 3
The Scala 3 compiler, also known as Dotty
Scala 3 is the latest major release of the Scala language—featuring a complete compiler rewrite (Dotty), new syntax with optional braces and given/using contextual abstractions, union/intersection types, opaque types, first-class enums, and better type inference. It unifies object-oriented and functional programming paradigms into a safer, more expressive language running on the JVM with full Java interoperability. -
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Symfony Monolog Bridge
Provides integration for Monolog with various Symfony components
Symfony Monolog Bridge is a Symfony component that provides seamless integration between the Monolog logging library and Symfony applications. It acts as a bridge, allowing developers to leverage Monolog's robust logging capabilities within the Symfony framework. The bridge supports various logging handlers, including files, databases, and third-party services, while also allowing customization of log channels and formatting. -
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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Glamorous Toolkit
Glamorous Toolkit is the Moldable Development environment
Programming, exploring data, browsing APIs, knowledge management, log investigations, domain modeling are all part of the same continuum. They require dedicated tools, but those tools can come to you in an integrated experience that is specific to your context. This is the essence of Moldable Development. And this is what Glamorous Toolkit makes practical. Glamorous Toolkit is the Moldable Development environment. It empowers you to make systems explainable through experiences tailored for each problem. -
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Guidance
A guidance language for controlling large language models
Guidance is an efficient programming paradigm for steering language models. With Guidance, you can control how output is structured and get high-quality output for your use case—while reducing latency and cost vs. conventional prompting or fine-tuning. It allows users to constrain generation (e.g. with regex and CFGs) as well as to interleave control (conditionals, loops, tool use) and generation seamlessly. -
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Chronos Forecasting
Pretrained (Language) Models for Probabilistic Time Series Forecasting
...A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes. -
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Freedom DDD Framework
Freedom is a hexagonal architecture-based framework
Freedom is a hexagonal architecture-based framework that underpins the hyperemic domain model paradigm. Integrated Iris. HTTP/H2C Server & Client. Integrating Prometheus. AOP Worker & Non-intrusive Context. Extensible component Infrastructure. Dependency Injection & Dependency Inversion & Open Closed Principle. DDD & Hexagonal Architecture. Domain Event & Message Queue Components. CQS & aggregate root. CRUD & PO Generate. Level 1 Cache & Level 2 Cache & Anti-breakdown. Scaffolding generates additions, deletions, modifications and persistent objects. -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference,... -
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Markdown Any Decision Records
Markdown Architectural Decision Records
...MADR is a template allowing to craft short, medium-sized, and large decision records. There is no formal definition of short, medium-sized, and large decision records. The following sections present an example in the context of assertion frameworks for Java. We start with presenting a very short and dense version: It “just” lists the context and problem statement, the available options, and the outcome. For some decisions, these bits of information could not be enough. Therfore, it is possible to “unpack” the decision. This is done in the presented longer version of the ADR. -
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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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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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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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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,...
