MCP-native TypeScript implementation of the Reflexion verbal RL loop for language agents, providing tools to start tasks, act, evaluate, reflect, and retry with pluggable LLMs and memory.
An agent-ready TypeScript template for building Model Context Protocol (MCP) servers with standardized discovery flows and permission-aware tools. It provides pre-configured core and operable profiles to help developers quickly implement, test, and distribute production-ready MCP services.
A TypeScript MCP server for launching, tracking, and managing external coding-agent runs across local and remote backends like Codex and Claude Code. It allows top-level agents to orchestrate subagents through tools for spawning tasks, polling events, and handling interactive sessions.
A TypeScript framework for building MCP servers with declarative tool, resource, and prompt definitions, built-in auth, multi-backend storage, and observability.
Automatically generates MCP tools, CLI, and web UI from TypeScript methods, enabling AI agents and chat clients to interact with custom capabilities defined once.