Search Results for "surface"
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Showing 57 open source projects for "surface"
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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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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Zed
High-performance, multiplayer code editor from the creators of Atom
...Integrate upcoming LLMs into your workflow to generate, transform, and analyze code. Chat with teammates, write notes together, and share your screen and project. Multibuffers compose excerpts from across the codebase in one editable surface. Evaluate code inline via Jupyter runtimes and collaboratively edit notebooks. Support for many languages via Tree-sitter, WebAssembly, and the Language Server Protocol. Fast native terminal tightly integrates with Zed's language-aware task runner and AI capabilities. First-class modal editing via Vim bindings, including features like text objects and marks. ... -
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Pocket TTS
A TTS that fits in your CPU (and pocket)
...Because it is CPU-oriented, it fits well in server environments where GPU access is limited, in desktop apps, or in edge deployments where simplicity matters more than maximum throughput. It also emphasizes developer ergonomics, providing a straightforward API surface that can be integrated into pipelines, assistants, accessibility tools, or batch generation scripts. -
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SAM 3D Body
Code for running inference with the SAM 3D Body Model 3DB
...It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing, viewpoints, and backgrounds while maintaining strong accuracy across multiple human-pose benchmarks. The repository provides Python code to run inference, utilities to download checkpoints from Hugging Face, and demo scripts that turn images into 3D meshes and visualizations. ... -
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Inspect Petri
An alignment auditing agent capable of exploring alignment hypothesis
...Instead of building bespoke evals, Inspect Petri automatically generates audit environments from seed “special instructions,” orchestrates an auditor model to probe a target model, and simulates tool use and rollbacks to surface risky behaviors. Each interaction transcript is then scored by a judge model using a consistent rubric so results are comparable across runs and models. The system supports major model APIs and comes with starter seeds and judge dimensions, enabling minutes-to-insight workflows for questions like reward hacking, self-preservation, or eval awareness. ... -
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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TRIBE v2
A multimodal model for brain response prediction
...The system integrates state-of-the-art encoders—including LLaMA for text, V-JEPA for video, and Wav2Vec-BERT for audio—into a unified Transformer architecture. This combined representation is mapped onto the cortical surface to predict fMRI responses across thousands of brain regions. TRIBE v2 allows researchers to simulate and analyze brain activity without requiring direct human experiments. Overall, it provides a powerful tool for studying perception, cognition, and multimodal processing in the brain. -
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Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)... -
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SD.Next
All-in-one WebUI for AI generative image and video creation
SD.Next is an all-in-one web user interface for generative image creation that expands beyond basic Stable Diffusion workflows to cover broader image and video generation, captioning, and processing tasks. It is designed as a power-user environment where model management, generation features, and workflow controls are centralized in a single UI rather than spread across separate scripts and utilities. The project emphasizes broad model support and includes mechanisms for discovering,... -
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Google Gen AI SDK
Google Gen AI Python SDK provides an interface for developers
...The library provides a client-based interface for generating text, working with multimodal inputs, managing chats, handling files, using tools, and accessing model capabilities from Python code. It is intended to replace older Gemini Python SDK patterns with a more unified and actively maintained API surface. The project is useful for application developers, data scientists, AI engineers, and backend teams building Gemini-powered features. Its main value is providing a supported, production-ready Python interface for Google’s current generative AI ecosystem. -
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Prompt Optimizer
A prompt word optimizer to help write high-quality prompt words
...It focuses on automating and streamlining the iterative refinement of prompts by analyzing examples, comparing original and optimized text, and guiding users through multi-round improvements that surface clarity, structure, and specificity. With support for different deployment modes including web apps, desktop apps, Chrome plugins, and Docker containers, Prompt-Optimizer offers flexibility that suits both individual developers and teams working in diverse environments. It also includes advanced capabilities like multi-model integration, context testing, and real-time comparison of prompt outputs, helping users to see exactly how prompt changes influence results. -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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GitHub Copilot SDK
Multi-platform SDK for integrating GitHub Copilot Agent into apps
...Instead of being limited to editors like VS Code, this SDK lets teams embed Copilot-style code suggestions, natural language assistance, and predictive completions anywhere they see fit—such as internal IDEs, browser extensions, documentation portals, or bespoke tools tailored to specific languages or frameworks. It provides a structured API surface for invoking the Copilot model in context with the surrounding user state, capturing document content, cursor position, and invocation triggers so suggestions are relevant and responsive. The SDK includes helpers for streaming completions, managing rate limits, handling authentication, and integrating with telemetry and analytics pipelines. -
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chat
chat web app for teams, sass with user management and ratelimit
...Its feature set includes shareable static pages generated from conversations, searchable conversation snapshots, text file uploads, multimedia file support when the model allows it, and prompt management with shortcut-based access. The repository structure also points to both web and Flutter-based mobile components, suggesting a broader product surface than a simple browser-only interface. -
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Supermemory
Memory engine and app that is extremely fast, scalable
...The platform allows individuals to ingest text, documents, and other content forms, then uses advanced retrieval and embedding techniques to index and relate information intelligently so that users can recall relevant knowledge in context rather than just by keyword match. It often incorporates clustering, semantic search, and summarization modules to reduce cognitive load and surface key ideas, which makes it useful for research, study, writing, and long-term project tracking. Users can interact with the system via conversational queries or traditional search interfaces, and the system leverages vector embeddings and memory scoring to prioritize the most relevant results. -
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The Hypersim Dataset
Photorealistic Synthetic Dataset for Holistic Indoor Scene
Hypersim is a large-scale, photorealistic synthetic dataset and tooling suite for indoor scene understanding research. It provides richly annotated renderings—RGB, depth, surface normals, instance and semantic segmentations, and material/lighting metadata—produced from high-fidelity virtual environments. The dataset spans diverse furniture layouts, room types, and camera trajectories, enabling robust training for geometry, segmentation, and SLAM-adjacent tasks. Rendering pipelines and utilities allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. ... -
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Cybersecurity AI
Cybersecurity AI (CAI), the framework for AI Security
CAI (Cybersecurity AI) is a lightweight open-source framework intended to help security practitioners build and deploy AI-assisted automation for defensive and offensive security workflows. The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners. Rather than being a single-purpose tool, CAI is positioned as a framework that supports building multiple... -
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BestBlogs
A collection of top programming
BestBlogs is an open-source project designed to aggregate, organize, and surface high-quality blog content from across the web, helping users discover valuable articles in a structured and accessible way. The platform focuses on curating content based on relevance, quality, and usefulness rather than simply indexing large volumes of information, making it particularly useful for developers, researchers, and knowledge seekers. -
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mistral.rs
Fast, flexible LLM inference
mistral.rs is a fast and flexible LLM inference engine implemented in Rust, designed to run and serve modern language models with an emphasis on performance and practical deployment. It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients. The project includes hardware-aware tooling that can benchmark a system and choose sensible quantization and device-mapping strategies, helping users get strong performance without manual tuning. It also supports serving multiple models from the same server process, enabling routing or quick switching between models depending on workload needs. ... -
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QMD
mini cli search engine for your docs, knowledge bases, etc.
...Users can organize content into named collections, embed documents for semantic retrieval, and then perform keyword searches, semantic searches, or hybrid natural-language queries to quickly surface the most useful information across all indexed sources. Because the entire system runs on the user’s machine, privacy is preserved and there’s no risk of exposing sensitive content to outside providers. -
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GSD Core
Meta-prompting, context engineering, spec-driven development system
...The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different levels of workflow surface area. The system is especially useful for developers who use AI agents heavily and need more discipline around planning, execution, and review. It acts less like a single app and more like an execution layer for shipping software with agents. -
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Composer API
OpenAI-compatible API proxy for Cursor Composer
Composer API is an OpenAI-compatible API proxy for Cursor Composer. It is designed for developers who want to interact with Cursor’s Composer-style agent workflow through a familiar API surface. The project acts as a translation layer, letting compatible clients send requests in an OpenAI-like format while routing them toward the Composer backend behavior. This makes it useful for experimentation, automation, or tool integrations that already understand OpenAI-style chat completion patterns. Its scope appears focused and lightweight rather than being a broad AI gateway or multi-provider orchestration platform. ... -
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Awesome Stars
A curated collection of top-tier penetration testing tools
...Because it aggregates rather than authors tooling, it serves as a navigation hub for both learners and seasoned testers. Actively starred and forked, signaling ongoing maintenance. Topic pages and GitHub listings surface it among popular pentesting resources, reinforcing its role as a go-to index. -
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CLI Printing Press
Reads official API docs, studies CLI and MCP servers
...The project includes validation stages such as scorecards, dogfooding, proof-of-behavior checks, and optional live read-only smoke tests. Overall, CLI Printing Press aims to turn any useful web service into a practical automation surface for both humans and AI agents. -
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Docker MCP Gateway
Docker mcp CLI plugin / MCP Gateway
...Instead of having each AI client manage its own MCP server configuration, the gateway provides a unified interface so multiple clients can connect consistently to the same configured tool surface. The project emphasizes security and operational hygiene by supporting secrets management (to avoid leaking credentials via plain environment variables) and providing built-in OAuth flows for MCP servers that require authenticated service access. -
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AI Agent Deep Dive
AI Agent Source Code Deep Research Report
...It breaks down complex concepts such as planning, tool usage, memory management, and multi-step reasoning into digestible explanations and practical examples. The project is organized as a learning resource rather than a standalone framework, making it particularly useful for developers who want to move beyond surface-level prompt engineering into full agent system design. It explores how agents interact with environments, execute tasks, and maintain context over time, highlighting both strengths and limitations of current approaches. The repository likely includes diagrams, annotated code samples, and conceptual walkthroughs that mirror real production systems. -
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Copilot for Obsidian
AI assistant plugin that brings chat, search, and agents to Obsidian
Obsidian Copilot is an open source plugin that integrates AI-powered assistance directly into the Obsidian note-taking environment. It enables users to interact with their notes through conversational chat, allowing them to ask questions, summarize information, and generate new content using large language models. It works inside a user’s vault and can analyze notes, documents, and other referenced materials to provide context-aware responses. It supports multiple AI providers and models,... -
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ChatGPT Shortcut
Curated AI prompt manager with search, sharing, and browser access
...In addition to built-in prompts, users can create, edit, and organize their own prompts for personal use. It also supports community participation where users can share prompts and vote on contributions, allowing useful prompts to surface through community feedback. Browser extension support further improves accessibility by enabling a sidebar interface.
