Search results for "examples"
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
An API server that implements the official MCP Registry API, providing standardised access to MCP servers from multiple backends, including file-based and other API-compliant registries.
The ultimate LLM/AI application development framework in Go.
The Maestro App Factory: a highly-opinionated multi-agent orchestration tool for app development that emulates the workflow of high-functioning human development teams using AI agents
A modular MCP server that provides commonly used developer tools for AI coding agents
Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A repository of servers and clients from the Model Context Protocol tutorials
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Generate OpenAPI 3.1 specs from Go source code via static analysis — zero annotations, automatic framework detection
Design-first Go framework that generates API code, documentation, and clients. Define once in an elegant DSL, deploy as HTTP and gRPC services with zero drift between code and docs.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade o
Mendix cli tool, a headless way to work with Mendix projects. Enables Mendix projects for use with 3rd party agentic coding tools like Claude Code and Copilot. Includes a starlark linter for quality v
Agent Sandbox is an E2B compatible, enterprise-grade ai-first, cloud-native runtime environment for AI Agents. Allows Agents to securely run untrusted LLM-generated Code, Browser use, Computer use, an
One API for 25+ LLMs, OpenAI, Anthropic, Bedrock, Azure. Caching, guardrails & cost controls. Go-native LiteLLM & Kong AI Gateway alternative.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
The Go client for Chroma vector database
An open-source, cloud-native, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare an
Zero-dependency Web Application Firewall in Go. Single binary. Three deployment modes. Tokenizer-based detection.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
Automatically generate server and client framework code based on descriptive files (proto/api/sql), while using built-in jzero-skills to empower AI to generate production-ready business code adhering
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with v
🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.
An open-source SSPM tool written in Go