11,704 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Adoption-aware documentation memory for AI coding agents. Scaffolds or adopts living docs, validates native and established structures with appropriate severity, upgrades managed helpers, and loads bounded recent context.
★not rated 41 24d agoA
tokens not measured
originalMIT
You have persistent, file-based memory at ./drive/ in your workdir. Everything you write here survives the run. Read it on every wake. Save deliberately, in small useful pieces, at the right scope.
Use when installing or setting up gossipcat multi-agent orchestration (parallel review, consensus, adaptive dispatch) in Claude Code or Cursor. Installs the gossipcat MCP server and hands off to gossipstatus() for all live rules.
ContextStream MCP server for code context, memory, search, and AI tools. Runs locally from the @contextstream/mcp-server npm package. Needs 2 environment variables to run.
★not rated 42 todayA
tokens not measured
originalMIT
Autonomous task loop — analyze, plan, execute, verify, review, finish. Runs as visible TUI agent in git worktree. Use when user says "yesloop", "loop", "run it autonomously".
Teaches the agent to use the state-memory-mcp MCP server to track workflow state, tasks, decisions, blockers, artifacts, plans, milestones, and their semantic relationships in a persistent graph database.
Analyzes Claude Project context budget under the automatic-RAG-by-window model: knowledge files vs. threshold-exempt overhead (Skills, MCPs, CI, Memory). Two modes: Quick Diagnostic and Full Budget Audit. Use when user says "check my context budget," "how much context am I using," "is my project too big," "optimize my…
A handoff routine for recording an agent generation's discoveries and work in a shared LEGACY folder. It appends a journal entry, updates the ledger, optionally records knowledge, and stores created artifacts.
Use when a task spans interface understanding, design-system memory, UI audits, design CI, Figma, shadcn or Tailwind code generation, research, or agent design workflows and needs the correct Memi capability selected.
Manage AI agent memory with P0/P1/P2 priority system and auto-archival. Use when: setting up memory management, cleaning up MEMORY.md, creating lessons files, configuring auto-archive cron, or reviewing memory structure. Reduces token usage by 70-80% while maintaining recall via semantic search.
MCP server "zettelkasten-assistant" as configured in joshylchen/zettelkasten. Runs C:\Code\Zk\mcp_server.py with python. Needs 4 environment variables to run.
The GML Specialist is the hands-on GML coding authority. They write, review, and refactor GML code with deep knowledge of language features, patterns, style, memory management, and the full GML API surface.
Search the user's own past AI coding-agent conversations (across Claude Code, Codex, Cursor, Gemini, Qwen, Goose, OpenCode, Continue, Cline, and in-app chats) before redoing work. Use when the user references something they "did before", "talked about", "figured out earlier", asks "how did we…/what did we decide…
A command for saving research from a conversation as an Obsidian summary and separate linked notes. Obsidian is a note-taking system that stores information in plain-text files.
Capture a lesson learnt as durable archival memory in kaeru.
★not rated 37 2d agoA11 tokens
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