One agent to control every AI tool
Render Odinfra agent configuration into OpenCode-compatible artifacts.
SDLC intelligent orchestration engine for Claude Code
Beads issue tracker - lightweight memory system for coding agents with native binary support
Count how many times you've been kind to your coding agents
Config-driven AI context sync tool for rules and skills across coding agents
AI-native persistent memory for agents — knowledge graph, not files, not RAG. MCP server + CLI + REST.
pnp - provides shared odata functionality and base classes
Automatic pre-disaster snapshots for OpenCode AI coding agent config and state files.
Commonly MCP Server — exposes the kernel HTTP surface (CAP per ADR-004) as standard MCP tools so any MCP-capable runtime can consume `commonly_*` tools without driver-specific code.
When I needed to get memory, cpu and disk information on NodeJS, I ended up looking for answers on stackoverflow and using multiple packages with some code. I am putting all together here.
Webpack Virtual Modules
Composable primitives for spawning a persona's harness (claude, codex, opencode) with its MCP servers, env vars, and permissions wired up correctly.
CLI for dev-memory hooks and repo-local setup (formerly @xluos/dev-assets-cli)
A React Hook to fetch and render file previews. It's overloaded with fancy features like SSR, lazy loading, memory cache and local preview.
MCP server for validating TypeGPU modules in a real browser WebGPU runtime.
Google Calendar MCP Server with extensive support for calendar management
Claude CLI provider and workflow plugin surfaces for OpenCode.
Transform AI conversations into persistent project intelligence - Universal memory system for Claude
Local-first memory and hybrid retrieval library for LLM agents with pluggable stores, BM25 plus vector search, and a four-stage memory pipeline.
Primary SDK for using XYO Protocol 2.0
utilities for working with typescript's AST
Workflow automation plugin for OpenCode using Mastra engine
Multiplexer for MCP tool calls — parallel execution, batching, caching, and pipelining for any MCP server