Requires Python 3.10+ or Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions: Agents and handoffs.
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Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
This roadmap is designed to help beginners aspiring to build a career as an Embedded Engineer/Developer, as well as assist current practitioners in expanding their skills. Embedded engineering demands a solid understanding of hardware functionality as well as software development and programming skills.
C4-PlantUML includes macros, stereotypes, and other goodies (like VSCode Snippets) for creating C4 diagrams with PlantUML. If LAYOUTLANDSCAPE() is combined with Lay() calls then the elements are correct positioned based on the new implementation.
--- --- Messages, system messages, and quick replies follow the structure defined in Models.ts. Message Object Structure --- The keyboardVerticalOffset tells the KeyboardAvoidingView where its container starts relative to the top of the screen.
🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. LiteLLM Proxy Server (AI Gateway) | Hosted Proxy | Enterprise Tier | Website --- LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format.
# The Unofficial and Awesome Home Assistant MCP Server A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Home Assistant. Using natural language, control smart home devices, query states, execute services and manage your automations.
A Swift client library for interacting with the Ollama API. Pass "json" to get back a JSON string, or specify a full JSON Schema: The format parameter works with both chat and generate methods.
audio.cpp is a high-performance C++ audio inference framework built on top of ggml, designed to make modern local audio models practical, portable, and fast. Tired of juggling a dozen Conda environments, hundreds of Python packages, and dependency conflicts just to try a few audio models?
"With Docker, developers can build any app in any language using any toolchain. “Dockerized” apps are completely portable and can run anywhere - colleagues’ OS X and Windows laptops, QA servers running Ubuntu in the cloud, and production data center VMs running Red Hat.
MCP Gateway is a reverse proxy and management layer for Model Context Protocol (MCP) servers, enabling scalable, session-aware routing, authorization and lifecycle management of MCP servers in Kubernetes environments. This project provides: Available only when FoundrySettings:Endpoint is configured.
🔥 Large Language Models(LLM) have taken the ~~NLP community~~ ~~AI community~~ the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT.
You ask a business question, it runs a pipeline of 18 agents that frame the question, explore your data, find the root cause, build a narrative, and hand you a validated slide deck with speaker notes. 18 specialized agents | 39 auto-applied skills | 20 slash commands | DAG-based parallel execution | PDF + HTML export --- This is a tool for analysts, not a replacement for them.
CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms.
🤗 PEFT State-of-the-art Parameter-Efficient Fine-Tuning (PEFT) methods Fine-tuning large pretrained models is often prohibitively costly due to their scale. Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of large pretrained models to various downstream applications by only fine-tuning a small number of (extra) model parameters instead of all the model's parameters.
Deep Lake: Database for AI Docs • Get Started • API Reference • LangChain & VectorDBs Course • Blog • Whitepaper • Slack • Twitter Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Storing and searching data plus vectors while building LLM applications 2.
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
JuiceFS is a high-performance POSIX file system released under Apache License 2.0, particularly designed for the cloud-native environment. The data, stored via JuiceFS, will be persisted in Object Storage (e.g.
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.