Search Results for "context" - Page 13
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Showing 785 open source projects for "context"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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RAG Web UI
RAG Web UI is an intelligent dialogue system based on RAG
RAG Web UI is an open-source intelligent dialogue system built on retrieval-augmented generation technology, designed to enable users to create AI-powered question answering systems grounded in their own knowledge bases. It combines document retrieval with large language models to provide accurate, context-aware responses based on indexed data rather than generic model knowledge. The platform supports ingestion of multiple document formats, including PDFs, Word files, Markdown, and plain text, automatically processing and vectorizing them for efficient retrieval. It features a multi-turn conversational interface that maintains context across interactions, allowing users to engage in more natural and continuous dialogues with their data. ... -
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ReMe
Memory Management Kit for Agents
ReMe is a memory management kit for AI agents that gives them structured, persistent memory capabilities, enabling agents to extract, store, and reuse information across sessions, tasks, and interactions. It is designed to support long-running agent workflows where context matters and working memory alone isn’t enough, helping agents remember user preferences, task histories, and relevant past observations. The toolkit provides APIs to offload large, ephemeral outputs to external storage and reload them on demand, which reduces memory bloat and keeps active context concise. By combining embeddings, vector search, and summarization workflows, ReMe lets developers build agent systems that can recall and apply past knowledge in future reasoning tasks. ... -
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Qwen3-ASR
Qwen3-ASR is an open-source series of ASR models
...As a specialized ASR variant of the broader Qwen language model ecosystem, it focuses on capturing reliable transcriptions from audio sources such as recordings, live streams, or conversational inputs while supporting low latency use cases. The architecture combines advanced neural acoustic modeling with context-aware language prediction so that outputs maintain both fidelity to the original speech and grammatical coherence. This makes Qwen3-ASR suitable for voice-driven applications like AI assistants, dictation tools, speech analytics pipelines, and accessibility features, where accurate and fluid transcription is critical. -
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PPTAgent
PPTAgent: Generating and Evaluating Presentations
PPTAgent is a research system for generating and evaluating slide decks that goes beyond simple text-to-slides. It follows a two-stage, edit-based workflow: first it analyzes reference presentations to infer slide roles and structure, then it drafts an outline and iteratively performs editing actions to produce new slides. The project includes both the generation agent and an evaluation framework, PPTEval, to score content quality, design, and coherence. The repository highlights the EMNLP... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Qwen3-VL
Qwen3-VL, the multimodal large language model series by Alibaba Cloud
...The model supports dense and Mixture-of-Experts (MoE) architectures, making it scalable from edge devices to cloud deployments, and is available in both instruction-tuned and reasoning-enhanced variants. Qwen3-VL is built for complex tasks such as GUI automation, multimodal coding (converting images or videos into HTML, CSS, JS, or Draw.io diagrams), long-context reasoning with support up to 1M tokens, and comprehensive video understanding. It also brings advanced perception capabilities, including spatial grounding, object recognition, OCR across 32 languages, and robust handling of challenging inputs like low-light or distorted text. -
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DeepSeek VL2
Mixture-of-Experts Vision-Language Models for Advanced Multimodal
...It combines image and text inputs into a unified embedding / reasoning space so that you can query with text and image jointly (e.g. “What’s going on in this scene?” or “Generate a caption appropriate to context”). The model supports both image understanding (vision tasks) and multimodal reasoning, and is likely used as a component in agent systems to process visual inputs as context for downstream tasks. The repository includes evaluation results (e.g. image/text alignment scores, common VL benchmarks), configuration files, and model weights (where permitted). ... -
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Claude Code Best V3
The original Claude Code is runnable and buildable
...It operates primarily in terminal or IDE environments, where it can analyze code, explain logic, and perform actions such as refactoring, debugging, and managing version control. The system is designed to understand the structure and intent of a codebase, allowing it to provide context-aware assistance rather than generic suggestions. It supports plugin-based extensions that enhance its capabilities with specialized commands and workflows. The architecture emphasizes productivity, enabling developers to offload routine tasks and focus on higher-level problem-solving. It also integrates with existing development tools, making it adaptable to different workflows and environments. -
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Ralph Wiggum Marketer
A Claude Code Plugin that provides an autonomous AI copywriter
...It leverages the Ralph Wiggum loop concept — a continuous iteration pattern named after the iconic character that symbolizes persistent, repeated refinement — to let Claude Code keep iterating on content until predefined completion criteria are met, rather than stopping after a single output. This plugin integrates with Claude Code workflows so that marketers or product teams can define high-level goals, seed their product or service context, and then have the AI autonomously draft, refine, and polish marketing materials with minimal human intervention. -
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PrivateGPT
Interact with your documents using the power of GPT
PrivateGPT is a production-ready, privacy-first AI system that allows querying of uploaded documents using LLMs, operating completely offline in your own environment. It provides contextual generative AI capabilities without sending data externally. Now maintained under Zylon.ai with enterprise deployment options (air gapped, cloud, or on-prem). -
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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STORM
An LLM-powered knowledge curation system that researches topics
STORM is an open-source virtual assistant framework developed by Stanford's OVAL lab. It is designed for creating natural language interfaces and assistants that can interact with APIs, databases, and services in a modular way. -
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dsh-TUI
DSH official WeChat featured TUI plugin
dsh-TUI is a full-screen terminal interface for DeepSeek Harness inspired by the interaction style of Claude Code. It streams Markdown, tool calls, reasoning status, token usage, context consumption, and throughput directly in the terminal. Users can resume, fork, compact, search, rewind, and switch models while preserving session history through DSH services. File references, image attachments, slash commands, questionnaires, and keyboard-driven input are built into the interface. Long conversations use event-driven rendering, virtualization, and bounded caches to control terminal and memory costs. ... -
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Antigravity CLI
The CLI understands codebases, makes edits and executes commands
Antigravity CLI is Google’s command-line AI coding agent for working with a codebase directly from the terminal. It can understand project context, make code edits with user permission, and execute commands as part of an agent-assisted development workflow. The tool is positioned as part of Google Antigravity’s newer agent-first platform and succeeds key Gemini CLI workflows while adding a more robust foundation for complex coding tasks. It supports important agent capabilities such as Agent Skills, Hooks, Subagents, and Antigravity plugins. ... -
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holaOS
An Open Agent Computer for ANY digital work
...The system emphasizes seamless automation, allowing users to interact with their computer through natural language and high-level instructions. It integrates memory, context awareness, and task orchestration into a unified environment. The architecture is designed to support extensibility, enabling developers to add new capabilities and agents. It is particularly useful for creating fully automated workflows across digital systems. Overall, it represents a shift toward agent-driven computing environments. -
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GEO Content Writer
Backlog-row-first content production system for teams
...It focuses on producing articles, pages, and structured content that align with both traditional SEO requirements and emerging AI search patterns. The system leverages language models to generate content that is context-aware, location-specific, and optimized for discoverability. It supports automated workflows for generating large volumes of content while maintaining consistency and relevance. The tool is particularly useful for businesses targeting local markets or region-specific audiences. It integrates into broader SEO pipelines, allowing content generation to be part of a continuous optimization process. ... -
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LLM Telegram Bot
A Telegram bot for Large Language Models
...The project is designed to provide a customizable AI assistant that can operate within Telegram conversations, supporting dynamic responses based on user input and configurable parameters. It includes features such as conversation memory, allowing the bot to maintain context across multiple messages and provide more coherent responses. The system supports multiple modes or personas, enabling users to switch between different conversational styles or use cases. It also allows fine-tuning of generation parameters such as temperature and token limits, giving users control over response behavior. The architecture is modular, making it easy to extend or adapt for different workflows or integrations. -
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Phantom
An AI co-worker with its own computer
...The system likely focuses on orchestrating tasks in a way that minimizes friction between user intent and execution, allowing agents to operate with minimal direct supervision. Its architecture suggests modular components that handle planning, execution, and context management independently, enabling scalable and reusable workflows. Phantom appears to emphasize adaptability, allowing agents to respond dynamically to changing conditions or inputs. It may also incorporate mechanisms for handling external tools, APIs, or system-level operations, expanding its capabilities beyond simple reasoning tasks. ... -
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Repomix
Repomix is a powerful tool that packs your entire repository
...Its core purpose is to simplify the process of feeding complex codebases into AI tools by consolidating files, metadata, and structure into a unified representation. The tool is particularly valuable for code review, refactoring assistance, and automated documentation workflows where context size matters. Repomix intelligently respects ignore rules and can compress code structure to reduce token usage while preserving meaning. It supports multiple output formats and provides token counting to help developers stay within model limits. The project also includes CLI, browser, and editor integrations that make it easy to incorporate into everyday workflows. ... -
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Awesome Stars
A curated collection of top-tier penetration testing tools
awesome-hacking-lists is a curated directory of penetration-testing tools and productivity utilities spanning multiple security domains. Curated lists across many offensive security domains. The repository’s focus is breadth with organization: it collects respected tools into themed lists for discoverability and quick triage. Stars and forks indicate an active audience, which helps keep entries fresh and useful for practitioners. Community contributions to keep coverage current. The project... -
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OpenClaude
Claude Code opened to any LLM
...The project focuses on enabling users to run their own AI agents with full control over data, workflows, and integrations, reducing reliance on proprietary platforms. It likely includes support for executing tasks, managing context, and interacting with external tools, allowing agents to perform real-world actions beyond simple text generation. The architecture emphasizes flexibility, enabling developers to adapt the system to different use cases and integrate it with various models or APIs. It may also include modular components for extending functionality, such as plugins or skills. ... -
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Learn Claude Code
Bash is all you need, write a claude code with only 16 line code
...The goal is to demystify agent architectures like Claude Code by having learners build simplified versions themselves and observe how tools, memory management, planning constraints, and context isolation contribute to reliable agent behavior. Along the way, the project teaches fundamentals such as how to let models call external tools, maintain clean memory for long tasks, and inject domain expertise without retraining the model. -
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PearAI
The Open Source AI-Powered Code Editor. A fork of VSCode and Continue
Ask questions or generate code with the context of your codebase for accurate results. This also works with choosing specific folders, online docs, terminal content, files, and more. PearAI can directly code in your files, and allow you to see diffs. Try CMD+I (CTRL+I on Windows). Here, we ask PearAI to help us add error handling and comments. Without writing a single line of code, we were able to make a new feature in an unfamiliar codebase: adding a documentation page to the PearAI landing page. ... -
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ProxyAI
The leading open-source AI copilot for JetBrains
...It allows developers to connect to a wide range of language models, including cloud-based services and locally hosted models, enabling both online and fully offline workflows depending on user preferences. The platform emphasizes deep integration with the developer’s environment, providing context-aware assistance by referencing files, folders, Git history, and even external documentation during interactions. ProxyAI enhances productivity by enabling natural language-driven code editing, intelligent autocompletion, and automated generation of commit messages, all within the IDE interface. Its architecture supports extensibility and personalization, allowing users to tailor the assistant’s behavior through different personas. -
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Claude Code Bridge
Real-time multi-AI collaboration: Claude, Codex & Gemini
...The system allows developers to coordinate interactions between models such as Claude, Codex, and Gemini so that they can work together on programming tasks. By maintaining persistent shared context between these models, the tool reduces redundant prompts and minimizes token usage while allowing each AI system to contribute specialized capabilities. The architecture functions as a unified launcher that manages communication between multiple AI providers and coordinates their responses within the same development session. Developers can run the tool in terminal environments and integrate it with terminal multiplexers such as tmux or advanced terminal emulators. -
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HyperFrames
Write HTML. Render video. Built for agents
HyperFrames is a framework developed by HeyGen that focuses on generating and managing structured, dynamic content experiences powered by AI. It introduces the concept of “frames,” which represent modular units of content that can be dynamically composed and rendered based on context or user interaction. The system is designed to enable highly interactive and personalized experiences, particularly in applications such as video generation, storytelling, and user interfaces. It supports integration with AI models to generate or modify content within these frames, allowing real-time adaptation. The framework emphasizes composability, enabling developers to build complex experiences by combining smaller units. ... -
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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.
