Search results for "safety"
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
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.
MCP Toolbox for Databases is an open source MCP server for databases.
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Open-source, self-improving autonomous agent swarm🐇
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
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
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
Autonomous AI agent for Home Assistant with multi-model routing, persistent memory, and an OpenAI-compatible API
Decentralized coordination protocol for autonomous agents
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
A self-evolving coding agent written in Go. Reads its own source, decides what to improve, writes code, runs tests, and commits — autonomously.
Autonomous local AI assistant in Go — 40+ tools, 20+ LLM providers, multi-agent orchestration, self-improving
Type-safe AI agents for Go. Suricata combines LLM intelligence with Go’s strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.