Search Results for "model-builder" - Page 3
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Showing 131 open source projects for "model-builder"
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OpenFang
Open-source Agent Operating System
OpenFang is an open-source agent operating system designed to orchestrate autonomous AI agents and workflows in a structured, production-oriented environment. Written primarily in Rust, the project focuses on building a high-performance runtime where multiple specialized agents can collaborate to complete complex computational or development tasks. It aims to move beyond simple chat-based agents by providing infrastructure for persistent agent memory, task coordination, and scalable... -
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MusicGPT
Generate music based on natural language prompts using LLMs
...The application currently integrates with models such as MusicGen and is designed to support additional models transparently in the future. In addition to a command-line interface, the project includes a web-based interface that enables conversational interaction with the AI model. -
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rspirv
Rust implementation of SPIR-V module processing functionalities
rspirv is a Rust-based parser, builder, and disassembler for SPIR-V, the intermediate binary format used in Vulkan and OpenCL for shaders and compute kernels. It’s part of the gfx-rs ecosystem, a suite of graphics tools aiming to provide cross-platform rendering capabilities in Rust. rspirv enables manipulation and inspection of SPIR-V modules, which is useful in shader compilers, graphics drivers, and development tools for low-level GPU programming. -
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OpenAI Harmony
Renderer for the harmony response format to be used with gpt-oss
Harmony is a response format developed by OpenAI for use with the gpt-oss model series. It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. -
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Arroyo
Distributed stream processing engine in Rust
Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available. -
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Rsmpeg
A Rust crate that exposes FFmpeg's power as much as possible
...It allows developers to interact directly with FFmpeg libraries for tasks such as encoding, decoding, and stream manipulation. The library is designed to balance performance with safety by leveraging Rust’s ownership model and memory management features. It supports handling of containers, codecs, and frames, enabling fine-grained control over media workflows. rsmpeg is suitable for building high-performance multimedia applications that require precise control over processing pipelines. It also integrates well with other Rust libraries, enabling complex system development. ... -
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MoonZoon
Rust Fullstack Framework
MoonZoon is a full-stack Rust web framework that enables developers to build reactive web applications using a unified Rust codebase for both frontend and backend logic. It is built around a reactive programming model where UI updates are automatically triggered by changes in application state, reducing the need for manual DOM manipulation or complex state management patterns. The framework leverages WebAssembly for the frontend, allowing Rust code to run directly in the browser while maintaining high performance and type safety. On the backend, MoonZoon provides a server component that integrates seamlessly with the frontend, enabling efficient communication and shared logic across the application. ... -
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Plano
Delivery infrastructure for agentic apps
Plano is an AI-native proxy and data plane designed to simplify the infrastructure required to deploy and operate agentic applications in production environments. It removes repetitive plumbing work from application code by centralizing capabilities such as agent routing, orchestration, guardrails, observability, and model selection. Built on modern proxy technology and compatible with any language or AI framework, Plano enables developers to focus on core agent logic instead of infrastructure complexity. The system provides intelligent LLM routing APIs that support model agility, along with filter chains for safety, moderation, and memory hooks. It also exposes rich traces, metrics, and logs to support continuous improvement of agent behavior in production. ... -
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Yazi
Blazing fast terminal file manager written in Rust, based on async I/O
...Also integrated with Überzug++, covering almost all terminals. Built on a client-server architecture (no additional server process required), integrated with a Lua-based publish-subscribe model, achieving cross-instance communication and state persistence. Install plugins and themes with one command, keeping them always up to date. -
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DeepSeek TUI
Coding agent for DeepSeek models that runs in your terminal
...It provides a text-based chat experience directly within the command line, making it ideal for developers who prefer minimal interfaces. The tool supports streaming responses, allowing real-time interaction with the model. It includes features for managing prompts, sessions, and conversation history within the terminal environment. DeepSeek-TUI emphasizes speed and simplicity, avoiding heavy graphical dependencies. It is particularly useful for local or remote environments where graphical interfaces are impractical. Overall, it delivers an efficient CLI-first experience for AI interaction. -
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Cog
Package and deploy machine learning models using Docker containers
Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best... -
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rxRust
Zero-cost & Type-safe Reactive Extensions for Rust
rxRust is a zero-cost, type-safe implementation of Reactive Extensions for Rust that brings functional reactive programming paradigms into the Rust ecosystem. It enables developers to model asynchronous data streams and event-driven systems declaratively, using composable operators that transform and combine streams over time. The library is designed to leverage Rust’s ownership and type systems to ensure memory safety and efficient resource management without sacrificing performance. It supports both single-threaded and multi-threaded execution contexts, allowing developers to choose between lightweight local execution or synchronized shared concurrency depending on their needs. rxRust is particularly well-suited for building responsive systems such as GUIs, real-time data pipelines, and asynchronous services. ... -
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Tokscale
A CLI tool for tracking token usage from OpenCode, Claude Code
Tokscale is a CLI and terminal UI tool that tracks token usage and estimated cost across multiple AI coding assistants and development workflows. It treats tokens like a measurable resource, helping developers understand how much “AI energy” they are consuming over time and where it is being spent. The tool aggregates usage across supported platforms and presents it through interactive views that let users filter, sort, and explore trends without leaving the terminal. Tokscale also includes... -
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egui
egui: an easy-to-use immediate mode GUI in Rust
egui is a portable, Rust-native immediate mode GUI library that runs natively and in browsers (compiled to WebAssembly). It emphasizes ease of use, simplicity, and portability—ideal for lightweight applications, tools, and embedding into game engines or Rust applications. -
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Aidoku Sources
Unofficial (legacy) sources for Aidoku
Aidoku Community Sources is an open-source repository that provides a collection of unofficial, community-developed content sources that can be installed into the Aidoku manga reading application to expand its available library. These sources act as connectors between the app and external content providers, enabling users to browse and read manga from various online platforms. The repository is structured to allow contributors to add, update, or maintain sources, fostering a collaborative... -
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DeepReasoning
High-performance API combining reasoning and creative AI models
DeepReasoning is a high-performance large language model inference API designed to unify advanced reasoning and creative generation capabilities into a single system. It combines DeepSeek R1’s chain-of-thought reasoning with Claude’s strengths in code generation and conversational output, enabling more capable and balanced responses. DeepReasoning provides both an API and a chat interface, allowing developers and users to interact with the combined models in a streamlined way. ... -
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Rig
Rust framework for building modular and scalable LLM-powered apps
Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application. Rig includes built-in support for agent workflows, allowing systems to perform multi-turn reasoning, tool calling, and retrieval-based tasks within structured pipelines. ... -
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Spice.ai OSS
A self-hostable CDN for databases
...The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it easy and fast to query data from one or more sources using SQL. You can co-locate a managed dataset with your application or machine learning model, and accelerate it with Arrow in-memory, SQLite/DuckDB, or with attached PostgreSQL for fast, high-concurrency, low-latency queries. Accelerated engines give you flexibility and control over query cost and performance. -
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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
...It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to integrate embedding capabilities into applications without managing model internals directly. Text Embeddings Inference is optimized for throughput and low latency, enabling it to handle large volumes of requests reliably. It also emphasizes ease of deployment, often using containerization and configurable runtime options to adapt to different infrastructure setups. -
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yek
Serialize repositories into LLM-ready context w/ smart prioritization
Yek is a Rust-based CLI tool designed to serialize text-based files from a repository or directory into a single structured output for large language model use. It scans projects using .gitignore rules to exclude irrelevant files and automatically filters out binary or oversized content. Yek prioritizes files based on Git history, placing more important content later in the output to align with how language models process context. Yek supports multiple directories, individual files, and glob patterns, making it flexible for different workflows. ... -
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TUI for LLMs
TUI interface for LLMs written in Rust
...The tool supports integration with multiple providers, enabling users to switch between local models and remote APIs without changing their workflow significantly. It includes features such as prompt management, session handling, and configurable parameters to control model behavior during execution. Tenere emphasizes minimalism while still offering enough flexibility to support scripting, automation, and experimentation. Its lightweight design makes it easy to install and run without heavy dependencies. Overall, Tenere is a practical utility for developers who want fast, scriptable access to LLMs from the command line. -
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Rivet
Visual AI IDE for building agents with prompt chains and graphs
...Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated directly into applications, bridging the gap between prototyping and production use. Rivet supports multiple large language model providers and integrates with services such as embeddings and transcription systems, allowing developers to create richer AI-powered features. Its architecture emphasizes composability, where different components like prompts, APIs, and data processing steps can be combined into reusable pipelines. -
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Monty
A minimal, secure Python interpreter written in Rust for use by AI
Monty is an experimental, security-focused Python interpreter implemented in Rust and intended for running AI-generated Python safely under strict constraints. The project’s core goal is to enable code execution in environments where untrusted or model-produced code must be tightly sandboxed to reduce risk. Rather than offering a full “general-purpose Python runtime with everything enabled,” Monty is designed to be minimal and controlled, making it easier to reason about what code can do and what it cannot. It prioritizes guardrails like resource limits and restricted capabilities, which is especially useful for agentic workflows that need to execute small pieces of Python for data transforms, validation, or tool-like computations. ... -
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Forge Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek
...Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. It supports many model providers (e.g. GPT, Claude, Grok, and others) via API keys. -
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lldap
Light LDAP implementation
...Written in Rust, lldap benefits from strong memory safety guarantees and performance efficiency, making it suitable for self-hosted environments and small-to-medium-scale deployments. The project emphasizes usability, offering a more approachable configuration model and integration capabilities for authentication and identity management systems. lldap is particularly useful for developers and organizations that need LDAP-compatible authentication without the complexity of legacy systems like OpenLDAP. Its design prioritizes clarity, maintainability, and ease of deployment, aligning with modern infrastructure practices.
