Repository History
93 repositories tagged with Go
Router: Optimize AI Model Selection and Costs for Agentic Systems
The Weave-OS Router is an intelligent model router for agentic systems, optimizing AI model selection for every request. It acts as a drop-in proxy for major AI providers, routing prompts to the most suitable model in under 50ms. This solution helps users significantly cut costs, often by 40-70%, simply by changing an endpoint.
Memoh: An Open-Source Multi-Agent Platform with Dedicated AI Workspaces
Memoh is an innovative open-source multi-agent platform designed to provide each AI agent with its own dedicated cloud computer. This includes a filesystem, desktop, browser, network, and persistent long-term memory, ensuring agents remain online 24/7. Users can integrate their own API keys or host existing AI models, fostering a versatile and always-on environment for AI development and deployment.
llm-d Router: Intelligent Orchestration for Multi-Phase LLM Inference
The `llm-d-router` is a sophisticated Go service designed as an intelligent entry point for large language model (LLM) inference requests. It orchestrates complex, multi-phase LLM inference pipelines across specialized worker pools, routing requests through an Inference Gateway to disaggregated vLLM workers. By exposing OpenAI-compatible APIs, it simplifies integration and leverages Kubernetes for scalable, efficient deployments.
Inference Gateway: Unifying LLM Providers with a High-Performance API
Inference Gateway is an open-source, cloud-native, high-performance proxy server designed to unify access to various language model APIs. It provides a single OpenAI-compatible endpoint, simplifying interactions with multiple LLM providers, from local solutions like Ollama to major cloud platforms. This gateway enables seamless integration and management of diverse AI models, enhancing portability and data privacy.
Agent Orchestrator: Supervise Teams of Coding Agents from Planning to Merge
Agent Orchestrator is a powerful tool designed to run and supervise teams of coding agents throughout the entire development lifecycle, from initial planning to code merge. It supports a wide array of agent harnesses, including Claude Code and Codex, and operates across desktop, web, mobile, and cloud environments. This platform offers a unified workspace to manage and coordinate multiple agents, ensuring efficient and organized agent-driven development.
uta: A CLI Agent Orchestrator for Parallel AI Task Management
uta is a command-line interface (CLI) agent orchestrator designed to decompose complex goals into parallel subtasks. It can dispatch these tasks to various agent CLIs like Claude Code or Gemini CLI, record every step of the process, and synthesize the final results. This tool enhances agent capabilities by enabling parallelism and cross-provider task execution.
Open Code Review: AI-Powered Code Review Tool from Alibaba
Open Code Review is an AI-powered command-line interface tool for code review, battle-tested at Alibaba's scale. It leverages a hybrid architecture, combining deterministic engineering with an LLM agent, to provide secure, fast, and efficient code analysis. This tool generates precise, line-level comments and supports a multi-language ruleset, ensuring high-quality code reviews.
n8n-sandbox-service: Isolated Execution Environments for Your Applications
The n8n-sandbox-service provides isolated, on-demand execution environments, leveraging containers or Firecracker microVMs. It offers a REST API to run commands and handle files within these secure sandboxes, ideal for applications requiring ephemeral execution contexts.
Declarative Agents: Profile-Driven LLM Agent Runtime in Go
Declarative Agents by Nokia Bell Labs offers a profile-driven runtime and design patterns for building tool-augmented LLM agents. It allows defining agents, their tools, states, and transitions via YAML profiles, eliminating the need for code changes for workflow alterations. This Go-based framework promotes flexible and dependable agent development.
DeclarAgent: Declarative Runbook Executor for Safe AI Agent Workflows
DeclarAgent is an innovative declarative runbook executor specifically designed for AI agents. It enables agents to validate, dry-run, and safely execute multi-step YAML workflows. This tool provides a structured, auditable, and secure way for LLM agents to interact with real CLI workflows, enhancing their operational safety and reliability.
tunnel-client: Securely Connect Private MCP Servers to OpenAI Services
The `tunnel-client` is an OpenAI-developed client that enables secure connections between private or localhost Model Context Protocol (MCP) servers and OpenAI services like ChatGPT, Codex, and AgentKit. It allows developers to integrate their internal MCP servers without exposing them to the public internet, ensuring enhanced security and operational control. This tool is ideal for scenarios requiring secure access from private networks to OpenAI's powerful AI models.
deja-vu: Retroactive Memory for AI Coding Agents
deja-vu is a powerful local-first tool that provides retroactive memory for AI coding agents, indexing past coding sessions from various agents, even those from before installation. This Go binary allows agents to recall relevant information without needing an LLM or embeddings by default. It enhances agent performance by providing context at the point of action, preventing repeated mistakes and improving efficiency.