Search Results for "context" - Page 28
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Showing 2139 open source projects for "context"
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1
KrillinAI
Video translation and dubbing tool powered by LLMs
...It integrates several stages of the pipeline: video acquisition (either from local files or remote via download tools), speech recognition (ASR), subtitle segmentation and alignment, machine translation (with context-aware translation to preserve semantics), and voice cloning + text-to-speech (TTS) to produce dubbed audio tracks. KrillinAI supports both landscape and portrait videos, which makes it suitable for a wide range of platforms — from YouTube to TikTok or other vertical-video sites — and ensures correct formatting and layout for the final video. ... -
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Matteo Collina's Skills
My own collection of skills for modern Node.js development
...The repository also contains methods for benchmarking skill effectiveness across different models and detecting regressions. A skill optimizer helps improve activation reliability, instruction clarity, and context efficiency. The package is designed to make coding agents more consistent in specialized engineering workflows. -
3
CodeGPT
A CLI written in Go language that writes git commit messages
...It supports multiple AI providers, including OpenAI-compatible endpoints, Azure OpenAI, Gemini, Anthropic, Groq, Ollama, and OpenRouter. Developers can customize prompts, diff context, excluded files, language output, proxies, and streaming behavior. Overall, it is built for teams that want faster, cleaner, and more consistent Git communication. -
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System Prompts Leaks
Collection of extracted System Prompts from popular chatbots
System Prompts Leaks is a curated repository that collects known leaked or publicly exposed system prompts used by large language models, organized so researchers, developers, and AI safety advocates can analyze them in one place. The project highlights how system prompts — instructions that strongly influence model behavior — have been inadvertently shared in forums, datasets, and open repositories, illustrating common patterns and potential vulnerabilities in prompt design and deployment.... -
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5
Claude Agent SDK
Programmatically build AI agents with Claude Code's capabilities
Claude Agent SDK (TypeScript) is an official TypeScript/JavaScript software development kit from Anthropic that makes it easier to build AI agents using the same agent architecture that powers Claude Code and other Claude-based autonomous systems. It provides abstractions and tools that let developers programmatically create, configure, and run intelligent agents that can read files, run commands, edit source code, manage sessions, and execute workflows without having to implement the agent... -
6
AI Memory
Solution for long term memory for agent coding CLIs
...Session activity is consolidated into a plain-Markdown project wiki stored in Git. When a new session begins, the agent receives a bounded handoff containing relevant context, failed approaches, and open questions. Optional managed workstreams add native session resumption and a portable event ledger for higher-fidelity continuity. It supports multiple coding agents, several embedding providers, local models, and repository-level capture exclusions. -
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TencentDB Agent Memory
TencentDB Agent Memory delivers fully local long-term memory for AI
...It uses symbolic short-term memory and layered long-term memory instead of storing everything as flat vector fragments. For active tasks, it offloads heavy logs into external files and keeps a compact Mermaid canvas in the agent context. For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency. -
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Claw Code
AI agent harness for AI coding agents
...The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured, how they interact with tools, and how they maintain context during execution. The system is being actively expanded, with a Rust-based runtime in development to improve performance and memory safety. Overall, Claw Code serves as a research-driven platform for advancing agent-based software development systems. -
9
DebugSwift
A toolkit to make debugging iOS applications easier
...Interface inspection tools like grid overlays, 3D view hierarchy exploration, and touch indicators help visualize UI layouts and interactions directly on the device, giving developers immediate context into how their app behaves. -
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Obsidian Skills
Agent skills for Obsidian
Obsidian-Skills is a repository of agent skills tailored for use with Obsidian and any Claude-compatible agent that follows the standard Agent Skills specification, enabling AI assistants to better understand and interact with Obsidian content. These skills are markdown-driven specifications that teach Claude Code (or similar agents) how to perform context-aware tasks within Obsidian’s unique environment, such as interpreting different file types and workflows, automating workflows tied to notes, or enhancing agent responses with structured knowledge. By providing formal descriptions of patterns, conventions, and workflows common to Obsidian users, the skills empower AI tools to give more relevant suggestions, generate content that adheres to user conventions, or execute complex multi-step operations that respect the knowledge graph and file relationships. -
11
agentgateway
Next Generation Agentic Proxy for AI Agents and MCP servers
...It presents itself as a complete connectivity solution that adds drop-in security, observability, and governance to agent-to-agent and agent-to-tool communication without requiring you to rebuild your agent stack. The project supports interoperable protocols designed for this ecosystem, including Agent2Agent (A2A) and Model Context Protocol (MCP), which helps standardize how tools and agents interoperate. It is designed for performance and scale, implemented in Rust and engineered to handle large throughput and multi-tenant deployments. Operationally, it emphasizes safety and control with an RBAC system tuned for MCP/A2A use cases, plus the ability to update configuration dynamically via xDS without downtime. -
12
Open Interpreter
A natural language interface for computers
Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have... -
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Google Maps SDK for Android Samples
Samples demonstrating how to use Maps SDK for Android
...Find the current location of an Android device and display details of the place or other place of interest in that location. Add bookmarks to a map, interact with click events, customize color and image, and more. Displays an information window with additional data and context when users press a bookmark. Customize user interaction by configuring integrated UI components and gestures. Listen to events on the map, including clicks on maps, clicks on markers, camera changes, and overlay events, among others. -
14
Open-AutoGLM
An open phone agent model & framework
...Unlike traditional automation scripts that depend on brittle heuristics, Open-AutoGLM uses pretrained large language and vision-language models to interpret visual context and natural language instructions, giving the agent robust adaptability across apps and interfaces. -
15
Memobase
Fast backend for long-term AI user memory via structured profiles
...Instead of relying purely on traditional embedding-based retrieval or RAG systems, Memobase uses profile and timeline structures to deliver memory that reflects user context efficiently and meaningfully. The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
16
Anthropic SDK Python
Provides convenient access to the Anthropic REST API from any Python 3
...The library includes definitions for all request and response parameters using Python typed objects, automatically handles serialization and deserialization, and wraps HTTP logic (timeouts, retries, error mapping) so that developers can call the API in a clean, high-level way. The SDK supports both synchronous and asynchronous usage (via async/await) depending on context. Importantly, it also supports streaming responses via Server-Sent Events (SSE) so that large outputs can be consumed incrementally rather than waiting for the full response. The client offers helper abstractions for tools (function-style “tools”) and streaming utilities for building interactive agents. -
17
Wave Terminal
An open-source, cross-platform terminal for seamless workflows
Wave is an open-source AI-native terminal built for seamless workflows. Wave isn't just another terminal emulator; it's a rethink on how terminals are built. Wave combines the command line with the power of the open web to help veteran CLI users and new developers alike. Keep development moving forward without the copy, pasting, saving, and exporting headache. Built on an open web framework that is fully extensible. Quickly edit code on a local or remote machine with the same editor that... -
18
agents.md
A simple, open format for guiding coding agents
openai/agents.md is a repository whose primary file is AGENTS.md, a proposed open, lightweight convention (i.e. Markdown file) for guiding coding agents in software repositories. The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of... -
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Discord Ollama Integration
Discord Bot that utilizes Ollama to interact with any LLMs
Discord Ollama Integration is a TypeScript-based Discord bot that integrates directly with the Ollama runtime to provide conversational AI capabilities inside Discord servers. The project is designed to turn any Discord channel into an interactive AI assistant powered by locally hosted large language models, allowing users to chat, manage models, and control AI behavior through slash commands. It includes extensive command support for tasks such as summarization, model switching, listing... -
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canvas-editor
Canvas-based WYSIWYG rich text editor with advanced layout tools
...It includes support for page-based layouts with headers, footers, pagination, and print-ready output, including PDF generation. It also provides interactive components such as form controls and context menus, making it suitable for building complex document editing systems. -
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GitMCP
Turn any GitHub repository into an MCP documentation server for AI
GitMCP is an open source remote Model Context Protocol (MCP) server designed to transform GitHub repositories into structured documentation hubs that AI assistants can query directly. It enables developer-focused AI tools to access up-to-date project documentation and source code so that responses are grounded in real repository content rather than outdated training data. By exposing repository documentation and code through standardized MCP tools, GitMCP helps reduce incorrect or fabricated answers when AI systems assist with coding tasks. ... -
22
patent-disclosure-skill
Point excavation and submission book
...Existing disclosures can be revised through versioned updates with correction tracking. A separate reading mode turns patent numbers, PDFs, or full text into plain-language notes with claim structure, terminology, and supporting context. Obsidian integration can store the results as linked notes, canvases, and knowledge graphs for ongoing research. -
23
AXI
Design principles for agent ergonomics
...Its principles cover compact output, minimal schemas, truncation, precomputed aggregates, explicit empty states, structured errors, and noninteractive behavior. It also emphasizes ambient context, useful default output, contextual next steps, and consistent help. Reference implementations cover GitHub operations, browser automation, human review, and local usage monitoring. -
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Discord Presence
Update your discord status with a rich presence
...It shows what file or project the user is editing, making development activity visible to Discord friends or communities. The extension supports more than 200 popular programming languages, so it can display useful context across many types of projects. It also lets users enable or disable rich presence for individual workspaces, which is helpful for private or sensitive work. Custom strings allow users to personalize how their activity appears. It is a simple productivity and social-presence tool for developers who want their coding sessions reflected in Discord. -
25
Symfony Asset
Manages URL generation and versioning of web assets
Symfony Asset is a component of the Symfony framework that manages URLs for web assets like CSS, JavaScript, and image files. It provides a simple and consistent way to generate URLs for static assets and helps manage versioning for cache busting. The Asset component is highly configurable and integrates seamlessly with other Symfony components, making it an essential tool for modern web applications.
