11,866 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.
DG Claw — instala e gerencia um agente pessoal seu no Telegram, com nome, personalidade e memoria persistente. Dois modos: LOCAL (roda no seu proprio computador Windows/Mac, so com a assinatura Pro/Max, sem servidor e sem API key) e SERVIDOR (24/7 numa VPS Linux via systemd). O wizard /dgclaw:setup detecta o ambiente.
★not rated 5 23d agoA
tokens not measured
originalMIT
Session close-out — clean up tool-created worktrees/branches, write active state to STATE.md, capture durable insights as memory pages, and commit + push okfmem-store via okfmem sync. Drafts an impl-complete comment on the resolved GitHub issue via gh issue comment. Invoked as /okfmem-save (alias: /primer).
Use when the user explicitly asks to search, find, retrieve, recall, compare, review stale projects, resume prior work, or answer from an Obsidian vault. Read-only: never create, update, move, or delete notes.
Layer-first retrieval from a Crystallized Intelligence for Agents brain via CLI or MCP. Use when BRAINROOT is set, brain MCP tools are available, or the user asks to query/bootstrap/expand a domain brain without loading the full corpus.
Teaches Claude how to build and navigate team workspaces using a folder system built on the Interpretable Context Methodology (ICM), a five-layer system of markdown files and folders that structures context delivery for AI agents. Based on the Model Workspace Protocol (MWP) by Van Clief & McDermott. Use this skill…
Persistent knowledge base for Claude Code projects using the LLM Wiki methodology by Andrej Karpathy. Bootstraps a structured wiki (markdown files with cross-references) and configures Claude Code to maintain it automatically across sessions. Integrates with Obsidian via MCP for graph view and visual navigation. Use…
Semantic memory and context - store and retrieve information with embeddings for similarity search. Use for long-term memory, context recall, and knowledge persistence.
Assists with memory analysis and forensics using MemProcFS. Use when analyzing memory dumps, investigating system activity, or performing forensic examinations.
Rescues messy, typo-ridden, or half-formed prompts so Claude understands you the first time. Confirms its reading with a one-line '✓ understood · …' and keeps reviewable history and stats.
★not rated 5 3mo agoA
tokens not measured
originalMIT
Connect to the Pieces MCP server (StreamableHTTP or SSE) and interact with the full Pieces data plane -- work-history retrieval via searchmemory/askmemory/askpiecesltm, targeted full-text and vector search across workstream events/summaries/conversations/annotations/tags/websites, batch snapshot retrieval, browser…
NexMem: Shared Agent Memory for Teams — a plug-and-play MCP memory server with pluggable database backends. Runs locally from the mcp-nexmem Python package.
★not rated 5 5mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: