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.
Build or update privacy-first AI-assistant configuration and reusable preference skills for Codex, Claude Code, Cursor, Gemini CLI, and similar tools. Use when the user provides explicit preferences, existing config files, example rules, or asks to optimize AGENTS.md, CLAUDE.md, assistant rules, memory files, or…
The agentic harness for AI coding agents: machine-verified ships, guarded edits, and project lookup that beats re-deriving from source. Run the prjct verb yourself; use prjct work normally.
Use mnemex before implementing a significant code change. Mnemex is a local-first decision-integrity layer: it anchors a decision to code and reports whether that decision is still fresh.
Cross-LLM context handoff — creates a complete handover.md so any LLM can continue your work without mistakes. Auto-triggers before context compaction.
★not rated 1 2mo agoA
tokens not measured
originalMIT
Onboarding da primeira sessão para projetos novos. Execute automaticamente quando MEMORY.md não tiver contexto. Entrevista o desenvolvedor e configura todos os arquivos de memória.
Search, save, and query a three-tier semantic memory shared across all AI agents on your workstation. Use before starting any task (search first for prior context) and after completing significant work (save findings with entities for consolidation). Supports savedecision for full PROV-O provenance and…
Transporta al contexto actual una conversación previa de Codex, Grok, Antigravity o Claude para este proyecto. Úsalo cuando el usuario pida recuperar, listar o elegir conversaciones anteriores.
An example relationship-memory and persona package for an AI agent, written in Chinese. It contains placeholder details and explicitly does not describe a real person.
Create, update, and validate repository-local AI agent context files such as AGENTS.md, .agents/core.md, .agents/routing.md, provider-specific profiles, and task SKILL.md routing. Use when an AI coding agent (Codex, Claude Code, Gemini, Copilot, Cursor, or others) is asked to make AGENTS.md or SKILL instructions…
MCP server "awesome-context" as configured in everest-an/AwesomeContext. Runs e:/EverythingClaudeMCP/mcp-server/dist/index.js with node. Needs 1 environment variable to run.
★not rated 1 6mo agoA
tokens not measured
originalApache-2.0
Ruflo CLI - Enterprise AI agent orchestration with 60+ specialized agents, swarm coordination, MCP server, self-learning hooks, and vector memory for Claude Code. Runs locally from the @claude-flow/cli npm package. Needs 6 environment variables to run.
MCP server that gives GitHub Copilot CLI persistent long-term memory via local semantic vector search. Install: npx -y ghcp-cli-vector-memory-mcp. Runs locally from the ghcp-cli-vector-memory-mcp npm package.
★not rated 1 2mo agoA
tokens not measured
originalMIT
Bootstrap an agent collaboration system into an Obsidian vault — memory, protocols, task boards, and per-client instruction files via a conversational interview. Use when asked to "set up my vault", "onboard me", "bootstrap agent collaboration", "set up session protocols", "configure my vault for AI", or at the start…
Living, local-first memory for AI agents built on hypervectors (VSA): surprise-gated writing, sleep consolidation, active forgetting, and compositional role queries. MCP server, CPU-only, no embeddings required. Runs locally from the hipercampo Python package.
★not rated 1 21d agoA
tokens not measured
originalMIT
Local-first MCP memory server. Persistent, searchable memory for any AI agent. Powered by @saluca/asphodel. Runs locally from the tartarus-mcp npm package.
★not rated 1 25d agoA
tokens not measured
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: