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12 results found (Go)
ksail📁v6.16.6🌿 Growing138

All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker.

eino📁v0.8.11🌳 Mature10,565

The ultimate LLM/AI application development framework in Go.

pilot📁v2.99.1🌿 Growing395

#1 Terminal Benchmark 2.0 — AI that ships your tickets.

vibescan📁0.0.0🌱 Seedling48

Security scanner for AI-generated ("vibe-coded") code. Runs SAST, DAST, and sandboxed exploit simulation across 15+ languages using 30+ tools. Catches what LLMs introduce before it ships — wit

ollama📁v0.21.0🌿 Growing168,597

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

maestro📁v1.5.0🌱 Seedling22

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

cordum📁V0.9.9.1🌿 Growing461

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.

trpc-agent-go📁v1.8.0🌱 Seedling1,085

trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.

devkit📁v2.1.29🌱 Seedling2

A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)

loom📁v0.1.26🌱 Seedling98

A fully autonomous (no human-in-loop) agentic based project design and coding machine

shellguard📁main@2026-04-21🌱 Seedling1

🛡️ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.

slack-mcp-client📁v2.8.3🌱 Seedling167

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