11,865 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.
Compile branching decisions outside model generation, route virtualized specialist skills, and minimize model input/output across tools, files, history, images, subagents, search, and recall. Use for token-heavy or reasoning-heavy work or reversible skill-vault management.
Access your Obsidian vault from Claude Desktop and other AI tools — MCP server wrapping the official Obsidian CLI with tools, resources, and prompts. Runs locally from the @zethictech/obsidian-mcp npm package.
★not rated 3▲
+1 3d agoA
tokens not measured
originalMIT
MCP server "mnemo" as configured in oyekamal/mnemo-agent. Runs mnemo.mcp_server with ${CLAUDE_PROJECT_DIR:-.}/.venv/bin/python. Needs 1 environment variable to run.
Maintain project context in Project Guardian's memory.db knowledge graph. Use during coding, debugging, planning, and project-management sessions to restore relevant context and record significant decisions, changes, tasks, and milestones.
Persistent, semantic memory for AI agents - mcp-native, local-first, framework-agnostic, production-ready. Runs locally from the groundmemory Python package.
★not rated 3 3mo agoA
tokens not measured
originalMIT
An MCP control plane for Claude Code: swallow other MCP servers through one gateway, delegate to Codex/Gemini/Claude on your own CLI subscriptions, plus a RAG memory graph, reference study, and cross-session handoffs. Optional all the way down, secret-free, fail-closed.
★not rated 3 1mo agoA
tokens not measured
originalMIT
Use proactively when prior knowledge could improve the current work, and when new knowledge could help future sessions. Search memory and save useful memories automatically without waiting for the user. Also use for explicit memory requests, reconciliation, organization, conflict handling, and refresh.
A skill for using moamcp, a shared memory system that stores project tips and general notes across agent sessions. It explains how to find information and how workspace-specific data must be addressed.
I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read…
Memori MCP server — persistent AI memory with recall and augmentation tools. Runs locally from the @memorilabs/memori-mcp npm package. Needs 1 environment variable to run.
★not rated 2 2mo agoA
tokens not measured
originalMIT
Memory that survives compaction: your agent's decisions with their why, permanent dead-ends, and causal chains — built automatically from the Claude Code transcripts you already have. Bundles the NodeDex MCP connection + the memory-discipline skill.
★not rated 2 2mo agoA
tokens not measured
AGPL-3.0
Session-scoped knowledge graph engine for AI chat context compression. Runs locally from the fish-bridge-mcp Python package. Needs 3 environment variables to run.
★not rated 2 1mo agoA
tokens not measured
originalMIT
Use when the user wants to find, read, save, or be reminded about anything in their MarkIt library (their personal saved-links-and-notes memory), or mentions MarkIt at all. Covers searching well, saving with context, managing reminders, and feedback etiquette over the MarkIt MCP connection.
Local MCP server to sync, clean, and index AI chat logs locally. Saves up to 40% context tokens. Runs locally from the chronicle-mcp-server Python package.
★not rated 2 2mo 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: