Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
Servers that connect to Cursor by URL or config. Every card carries the server address and the step-by-step Cursor setup.
Hosted MCP server for meme generation, template search, caption rendering, and AI meme creation.
- Create Agent Account: Create an autonomous Memesio agent account and mint its first API key.
- Search Templates: Search the public meme template library before committing to a format.
- Get Template Ideas: Turn a prompt into ranked meme template ideas.
MCP server for Memeboat — search 25,000+ meme templates and create real, shareable memes straight from your AI assistant.
- Search Meme Templates: Search memebo.at's catalog of 25,000+ meme templates by name or topic (e.g. "drake", "distracted boyfriend", "cat"). Returns matching templates with their slug (use it with crea
- Get Meme Template: Fetch one meme template by its slug (from search_meme_templates or a memebo.at/templates/<slug> URL): dimensions, image URL and suggested caption count.
- Create Meme: Create a real, shareable meme on memebo.at by captioning a template. texts are placed top-to-bottom: 1 caption = bottom text, 2 captions = classic top/bottom, N captions fill the template
Search 25,000+ meme templates and create shareable memes on memebo.at.
MCP server for meme generation, template search, caption rendering, and AI meme creation.
Search and browse a curated gallery of memes, infographics, and visual content.
Search and browse a curated gallery of memes, infographics, and visual content via AI agents.
- Search Images: Search the MemeStack image gallery. Runs semantic AI and keyword matching in parallel and merges results. Returns images with captions, tags, zap stats, and URLs.
- Get Image: Get full metadata for a specific image by ID, including caption, alt text, tags, OCR text, zap stats, and URLs.
- Find Similar: Find visually similar images using perceptual hash matching. Returns images that look alike.
Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
Agent design CI for coding agents: audit frontend design, remember design systems, enforce UI quality gates, and expose 47 MCP tools for Tailwind, shadcn…
- Memi Capabilities: Returns the exact remote-safe tools, full local npm capabilities, install paths, and execution boundaries for Memi agent design CI.
- Prepare Design Agent Brief: Builds a deterministic, agent-ready UI workflow with evidence commands, Atomic Design rules, cost controls, install paths, and a verification handoff.
- Get Design Ci Policy: Returns deterministic design-system, accessibility, responsive, and file-creation gates for an AI coding repository.
Memory for deep conversational context across any platform
Your portable, growing memory for AI.
- Search Memory: Search the user's Memnar memory by keyword: their learned patterns (ranked by confidence) plus matching excerpts from their AI-self files. Use mid-task when past experience could help;
- Read Context: Return the user's full Memnar: their AI-self files (identity, voice, rules, expertise, workflows — distilled from their own work) plus their learned patterns. Call once at the start of a
- Search: Search the user's Memnar memory (learned patterns + AI-self files) by keyword. Read-only.
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
Shared memory for all your AI agents, your whole team and every MCP client — save, search, recall.
Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.
Memoket — access your recording transcripts, summaries, and key takeaways over MCP.
Search, read, create and edit your Memol notes from Claude.
Personal memory layer for AI assistants.
- Memory Store: Stores a piece of text as a durable memory in the user's MemoraEU account, with an optional category and tags. Applicable to preferences, decisions, biographical facts and long-lived con
- Memory Recall: Searches the user's stored memories by meaning rather than exact wording, using a natural-language query. Returns the closest matches with a relevance score, their category and their ID
- Memory Delete: Deletes one of the user's memories, identified by its full or partial ID. The memory stops appearing in searches and listings and its search vector is removed. Returns whether a matchin
Create and look after online memorials for people and pets who have died.
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Long-term memory for AI assistants.
Count keys in a JSON object.
MemBridge Memory MCP Server allows you to share your memory across multiple AI tools like Claude, ChatGPT, Cursor, and more.
- MemBridge List Records: Retrieve a comprehensive list of all MemBridge Memory Records stored for the authenticated user. MemBridge Memory Records contain information that users have explicitly saved f
- MemBridge Create Record: Create and save a new MemBridge Memory Record when the user explicitly requests to save information for future reference. Records persist across chat sessions and AI tools. Ty
- MemBridge Update Record: Update an existing MemBridge Memory Record's content and title while preserving the original creation timestamp. The updated timestamp will be refreshed. Useful for consolidat
Portable AI memory shared across models and harnesses - plain markdown you own.
Updated 9-16-25 Fixed EV issues Connections should be solid!
- Get Context: Get or create context for a topic or project
- Update Context: Update or add context for a topic or project
- List Topics: List all available topics/projects
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application.
- Remember: Store a new memory in MemoryMesh. Use this to save facts, preferences, decisions, or any information that should persist across conversations.
- Recall: Recall relevant memories from MemoryMesh using semantic similarity and keyword matching.
- Forget: Permanently delete a specific memory by its ID. Searches both project and global stores.
Persistent long-term memory for AI agents.
- Memoryoss Recall: Search your long-term memory. Call this FIRST at the start of every conversation turn to retrieve relevant context from previous sessions. Pass the user's question or topic as the qu
- Memoryoss Store: Save important information to long-term memory so you can recall it in future sessions. Store facts, decisions, user preferences, project context, and key findings. Call this whenever
- Memoryoss Update: Update an existing memory by ID. Use this when information has changed - e.g. a user preference was corrected or a fact is outdated. Pass the memory ID from a previous recall result.
Give every AI you use one shared, permanent memory.
MemoryRouter is a persistent AI memory layer delivered as an MCP memory server.
- Search Memories: Use this when the user asks about a prior decision, preference, person, project, or other fact that may be in their connected MemoryRouter vault. Semantically searches only the OAuth-
- Store Memory: Use this only when the user explicitly asks to remember something or confirms a proposed durable fact. Saves concise user-approved content to the OAuth-selected vault; do not use it for
- Memory Status: Use this when the user asks whether MemoryRouter is connected, which opaque vault binding is active, or how many memories/tokens the connected vault contains. Does not reveal the memory
Durable, inspectable memory for AI agents and coding assistants.
- Search Memory: Search the user's stored memory for context relevant to a question and return the best matches. Use this before answering anything that depends on what the user told you previously.
- Add Memory: Store a durable fact or preference about the user. Text is run through extraction, so conversational filler is discarded and near-duplicates are merged; a skipped result is normal and not
- List Memories: List the user's most recent memories without searching.
Search and read MemorySync's API, SDK, and integration documentation from an MCP-compatible coding assistant.
- Search Docs: Search the MemorySync documentation and return matching pages with their headings and a link to the full Markdown text.
- Read Doc: Read the full Markdown text of one documentation page. Prefer this over a search snippet when you need exact method names, parameters, fields or limits.
- List Doc Sections: List the top-level documentation sections and how many pages each contains, to orient before searching.
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