Search results for "directory"
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for pers
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
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
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.
Container-free, deny-by-default sandbox for AI coding agents. Kernel-enforced filesystem, network, and syscall isolation for Linux and macOS
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Beads - A memory upgrade for your coding agent
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
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.
Artifical Ecology For Thought and Emergent Reasoning. The Colony That Builds With You.
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
trpc-agent-go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools.
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 selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Run AI coding agents in hardened container sandboxes.
Mattermost Agents plugin supporting multiple LLMs
A tool supports OPENAI and other LLMs with Claude Skills, you can also use it as a subagent
🛡️ Enable secure, read-only SSH access for LLM agents to audit servers, run diagnostics, and inspect logs without risking data changes.
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
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
An open-source SSPM tool written in Go