Search results for "automation"
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.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A modular MCP server that provides commonly used developer tools for AI coding agents
Open-source, self-improving autonomous agent swarmπ
Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI β β©0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Vision/Mission https://ambient-code.ai : Virtual team management and collaboration platform. User guides: https://ambient-code.github.io/platform/
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
Open-source AI coding agent. Desktop app, bring your own model. Writes code, browses the web, verifies its work. Apache 2.0.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
AI-powered meme coin trading bot for Solana and Base that automatically scans new tokens, detects honeypots, calculates win probability, executes trades. Built in Go with a multi-agent architecture, r
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 β MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
Autonomous local AI assistant in Go β 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
π‘ Enforce security policies, redact data, sandbox processes, and verify integrity for Model Context Protocol (MCP) server communication.
π‘οΈ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.
π Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.
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
