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Showing 14 open source projects for "result"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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1
Llama Coder
Open source Claude Artifacts – built with Llama 3.1 405B
...It’s framed as an open-source “Claude Artifacts”-style experience: you describe the app you want, the tool calls an LLM hosted on Together.ai, and you get back a runnable code artifact. The project includes a web interface where you can enter prompts, see generated code, and run or tweak the result directly in the browser. Technically, it is built using a modern TypeScript/Next.js stack and integrates with Together’s API, making it a good blueprint for building your own AI-powered developer tools. By focusing on small self-contained apps or components, it keeps scope manageable while still showcasing the power of code generation. ... -
2
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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MCP Server Giphy
An implementation of Giphy integration with Model Context Protocol
The MCP Server Giphy is a Model Context Protocol (MCP) server that enables AI models to search, retrieve, and utilize GIFs from the Giphy platform. It facilitates seamless integration of Giphy's vast GIF library into AI applications, enhancing their expressive capabilities. -
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Claude Code Video Vision
Give Claude the ability to watch and understand videos
...Instead of attempting to directly interpret raw video streams, the system extracts key frames using tools like ffmpeg and processes audio through transcription engines, converting both visual and auditory signals into structured inputs for the model. The result is a perception layer that feeds images and timestamped transcripts into Claude, allowing it to analyze events, answer questions, and summarize content with contextual awareness. The system dynamically adapts how much data it extracts based on the user’s query, adjusting frame rate, resolution, and time windows to optimize both performance and token efficiency. ... -
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5
ChatOllama
ChatOllama is an open-source AI chatbot
...Deployment is streamlined with Docker Compose, and the project also includes internationalization and modular feature toggles for controlling what parts of the system are enabled. As a result, ChatOllama feels less like a single chatbot and more like a flexible self-hosted AI workspace. -
6
lms
LM Studio CLI
...By exposing model management capabilities through command-line commands, the tool enables developers to integrate local LLM operations into development pipelines and backend services. As a result, LMS acts as a bridge between interactive local AI tools and automated software development workflows. -
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FastbuildAI
An open-source AI framework for developers and entrepreneurs
FastbuildAI is a pragmatic framework for building agentic applications that can plan, call tools, and produce reliable outputs without forcing you into a heavy platform. It emphasizes fast iteration: you describe tasks declaratively, wire up tools with typed schemas, and let the runtime handle planning, retries, and result aggregation. The project leans into reproducibility with run records, seed control, and structured traces so you can compare behaviors across versions and inputs. Prompt and memory management are treated as first-class concerns, enabling short-lived scratchpads for reasoning as well as long-horizon state when an agent operates over multiple sessions. ... -
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Open Multi-Agent
One runTeam() call from goal to result
Open Multi-Agent is a flexible framework designed to enable the creation and coordination of multiple AI agents working together to solve complex tasks through collaboration. It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. It supports iterative collaboration, where... -
9
TONL
TONL (Token-Optimized Notation Language)
TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability. -
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10
draw-a-ui
Draw wireframe sketches and generate HTML with AI vision models
...When a user sketches a UI on the canvas, the application captures the current drawing as SVG, converts it into a PNG image, and sends that image to a vision model that generates the corresponding markup. The result is an automated design-to-code workflow where rough interface ideas can quickly become functional web layouts. It is implemented as a modern web application built with Next.js and TypeScript and requires a compatible Node.js runtime to run locally. It is designed primarily as a demonstration of AI-assisted UI generation rather than a production-ready platform. -
11
WorkAny
Desktop Agent for Any Task
...Powered by a combination of Claude Code as the primary runtime agent and a sandbox execution environment for safety, WorkAny integrates an agent SDK, MCP (Model Context Protocol) support, and custom skills to handle diverse tasks with contextual understanding. Users can connect multiple model providers, including OpenAI, OpenRouter, or custom endpoints, and WorkAny supports parallel task execution with asynchronous result viewing, enhancing productivity. -
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Universal Commerce Protocol (UCP)
The common language for platforms, agents and businesses.
...Its modular, capability-based architecture allows businesses to expose only what they support while remaining flexible and extensible. By leveraging existing industry standards for payments, identity, and security, UCP avoids reinventing the wheel while ensuring reliability and trust. The result is a developer-friendly, future-ready protocol that simplifies commerce integration at global scale. -
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ChatGPT Advanced
Browser extension adding web search results to ChatGPT prompts easily
chatgpt-advanced, commonly known as WebChatGPT, is an open source browser extension designed to enhance the capabilities of ChatGPT by integrating real-time web search results into user prompts. It works by intercepting queries submitted to the ChatGPT interface and optionally augmenting them with information gathered from search engines before sending the prompt to the chatbot. This approach allows the model to generate responses that are more current and contextually relevant compared to... -
14
node-markov-generator
Generates simple sentences based on given text corpus
This simple generator emits short sentences based on the given text corpus using a Markov chain. To put it simply, it works kinda like word suggestions that you have while typing messages in your smartphone. It analyzes which word is followed by which in the given corpus and how often. And then, for any given word it tries to predict what the next one might be. Here you create an instance of TextGenerator passing an array of strings to it - it represents your text corpus which will be used...
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