AREAL (Agent Reinforcement Learning Bridge) is a simplified and flexible framework for integrating reinforcement learning with LLM-based agent applications.
We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
OpenTools provides a unified API for LLM tool use, enabling seamless integration of various MCP tools with any Large Language Model.
ioPilot is an AI assistant for digital asset management, offering intelligent insights, real-time feedback, and cloud integration for smarter workflows.
Nango is a platform for building and managing integrations for AI agents, enabling secure runtime integration consumption.
Rapid agent development framework in Python for building autonomous AI agents, supporting multiple LLM providers and tool integration.



