Lightdash CLI tool
MongoDB Server for testing (core package, without autodownload). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Forge - a local-first, multi-agent, programmable software-engineering runtime
MongoDB Server for testing (auto-download latest version). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
memlab is a framework that analyzes memory and finds memory leaks in JavaScript applications.
Playwright Tools for MCP
AI coding agent powered by open-source models (Ollama/vLLM) — interactive TUI with agentic tool-calling loop
Framework for agent-native application development — where AI agents and UI share SQL state, actions, and context
A high-fidelity agentic terminal assistant for the Flux Era.
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
1,493+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.
Cloud and zero-trust agentic workflow marketplace for skills, agents, rules, MCP references, and compliance-aware architecture.
OpenClaw memory and context-engine integration for Agentic Memory
62 agentic tools. 50+ specialists. 4 AIs. Self-learning. Zero cost.
Server & Client SDK for Agent2Agent protocol
Agentic memory for AIGNE framework
Playwright CLI
Memory adapter for Better Auth
GitLab Duo for your command line
Dispatch — workspace control plane for agent-native apps. Vault, integrations, destinations, scheduled jobs, and cross-app delegation, shipped as a single drop-in package.
MongoDB Server for testing (auto-download latest version to ~/.cache/mongodb-binaries).
Dominds CLI and aggregation shell for the LongRun AI kernel/runtime packages.
Funes provides an intelligent memory layer and knowledge base interface for AI agents, enabling persistent context storage and retrieval through a command-line interface.
Provision and interact with AI agents on agentd.link via a simple Ruby API or CLI.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.