Инструменты разработчика
litgpt
20+ high-performance LLMs implemented from scratch, with proven recipes to pretrain, finetune and deploy.
★ 13,7 тыс. звёздApache-2.0
Смотреть руководство →rocketride-server — проект с открытым исходным кодом из категории «Инструменты разработчика» от rocketride-org (rocketride-org/rocketride-server на GitHub). У него 17 818 звёзд на GitHub и 7 606 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
A high-performance AI pipeline engine - build LLM workflows as portable .pipe files
Decide the flow - source, an LLM node, a response - for one concrete AI feature.
Install the Python or TypeScript SDK and the VS Code extension for visual building and debugging.
Drop an llm node into the pipeline and add one provider API key.
Execute the pipeline locally, inspect it with the built-in observability, then deploy the same file anywhere.
A high-performance core executes pipelines built from 50+ extensible nodes.
Design and debug workflows from your IDE with the included VS Code extension.
Connects 13+ model providers and 8+ vector databases as pipeline nodes.
Pipelines can include agent nodes with tools alongside RAG and data-processing nodes.
The same .pipe file runs on Cloud, on-prem, or as a local process in your IDE with zero lock-in.
Inspect pipeline runs while developing and in production.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/rocketride-org/rocketride-server.git
cd rocketride-serverAdd RocketRide to your Python project (a TypeScript SDK is also published on npm).
pip install rocketrideFollow the README's first-pipe walkthrough: source, an llm node with one API key, and a response.
# Follow 'Your first AI feature' in the README, then try examples/rag-pipeline.pipeIt is maintained by the RocketRide project (rocketride-org) on GitHub.
The on-prem engine is free and MIT licensed. RocketRide Cloud is a paid managed hosting option with the same portable pipelines.
Pipelines that call hosted models need your own provider API keys; local components such as a local Qdrant instance can run without them.
Compared with code-only frameworks, RocketRide is a visual, engine-based approach with portable pipeline files and IDE debugging; compared with hosted workflow tools, the same pipelines also run fully on-prem.
Run pip install rocketride, install the VS Code extension, and build the README's first pipe with one LLM node.
20+ high-performance LLMs implemented from scratch, with proven recipes to pretrain, finetune and deploy.
An AI compute engine: a distributed runtime plus libraries for scaling ML and LLM workloads
A high-performance coding agent harness in Rust - fast TUI, swarms and every provider
Turn domain documents into high-quality LLM fine-tuning, RAG and evaluation datasets through a visual UI.
A portable home for your AI agent — memory, keys and automations on Cloudflare.
A GPU-accelerated, differentiable physics engine on NVIDIA Warp for robotics simulation.
Другие проекты из категории «Инструменты разработчика» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если rocketride-server вам не подходит.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Соседние проекты из категории «Инструменты разработчика» в каталоге, ближайшие по числу звёзд к rocketride-server — продолжайте изучать полку по обе стороны от него.
GenBI for AI agents - governed text-to-SQL and dashboards through an open context layer
Google's official Gemini API cookbook - examples, guides and end-to-end demos
Turn any GitHub repo into an interactive architecture diagram - just swap 'hub' for 'diagram'
Open, event-based protocol that connects AI agents to user-facing apps with streaming and shared state.
A high-performance coding agent harness in Rust - fast TUI, swarms and every provider
Fine-tune and deploy 600+ LLMs and 300+ multimodal models with PEFT or full-parameter training.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.