Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdown you own — a Claude Code skill.

Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM

Tells your AI agent which parts of your idea already exist on GitHub, which to adapt, and which to just write — every repo verified live. MCP server, Claude Code plugin, and agent skill.

Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Build multi-model chatbots and agents from intent, with Claude Code and Codex.

RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.

Your coding agents get an agreed plan, a check after each round of changes and a handover to the next session. Workflow plugin for Claude Code, Codex CLI, Cursor and Pi: /session, /go, /close. Free and MIT.

Multi-agent cryptocurrency intelligence system built with Claude Code. 6 AI agents, 66 MCP tools, Agent Teams, zero orchestration code.

Spec-driven development for Claude Code, layered on OpenSpec. You read one spec; parallel agents ship it to a tested commit.

Your coding agents remember what you decided — and what you changed. Plain-Markdown memory in Obsidian, shared by Claude Code, Codex and Cursor over MCP. Every answer cites its page; when the vault does not know, it says so. Imports your past sessions on install.

Claude Code plugin for EODHD financial data — 150k+ tickers, 70+ exchanges, OAuth MCP server with 80 tools, 7 workflow skills, financial-analyst agent, 5 slash commands. MIT.

Iterative development methodology plugin for Claude Code — extracts requirements, defines walking skeleton, loops through audited sprints autonomously

Team workspace for AI coding agents: your Claude Code, Codex, Cursor, Gemini CLI and OpenCode agents share one project, task board and handoffs. Desktop, iPhone and MCP server.

An agent hub for Claude Code: one hub runs teams of Claude Code agents across all your projects, with delegate mode, reviews and gates.

Mission control that ships. Not a terminal multiplexer: Claude Code, Codex, Kimi Code and Grok each work in their own git worktree. Only the one that needs you asks for your attention.

Claude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.

Devil's advocate for coding agents. Stress-tests plans, architecture and decisions with a steel-man, an assumption audit and a pre-mortem, then gives severity-rated findings and a verdict. Works in Claude Code, Codex, Cursor, Gemini CLI, Copilot and 12 more.

When Claude says “tests pass”, makoto checks the record — every claim held against the agent's own logged deeds; fakes blocked, not warned. Each check ships at measured zero false positives. 誠

CLI for signed, versioned agent skills and model-driven orchestration: create, verify, sign, publish, and install skills for Claude Code, Codex, OpenCode, and LLM tools.

Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.

Claude Code plugin for people who describe what they want and let Claude build it: brand identity, product planning, plain-language build/ship/debug workflows, and a creator toolkit.

Claude-Code-style dynamic workflows for Pi — fan a task out across 100s of subagents with real model routing, token/cost accounting, resume, git-worktree isolation, an interactive /workflows TUI, and a real /deep-research.

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence