"memory" matching MCP servers:

Provides persistent AI memory and visual analysis tools for any MCP-compatible agent via the iGenius Memory service.

Enables high-quality image generation using FLUX.1-dev through Claude Desktop or CLI, with automatic model unloading to save VRAM and memory-efficient bfloat16 processing.

An MCP server for local image, speech, music, and SFX generation that preserves character identity across calls and rejects degenerate outputs. It runs with near-zero GPU idle memory and is designed for DeepSeek Harness agents.

Enables AI agents to edit videos locally by inspecting media, applying templates, cutting clips, and delivering finished files, with memory of human preferences.

An MCP server for TouchDesigner that lets AI agents inspect, build, wire, optimize, and stabilize live TD networks with 106 tools, plus a technique memory system for reusable patterns.

Gives AI agents eyes on in-memory image buffers in live gdb/lldb C/C++ debug sessions: list observable symbols at a breakpoint, view renderings, read exact pixel values, and dump lossless .npy copies. Agents can also drive the human's viewer window (pan, zoom, channels, auto-contrast).

This MCP server aids users in searching and analyzing their photo library by location, labels, and people, offering functionalities like photo analysis and fuzzy matching for enhanced photo management.

Enables AI agents to act as graphic designers by generating images and social-ready visuals, with brand DNA memory, genre-aware styles, 35+ platform presets, self-critique, and version control.

An MCP server that orchestrates image generation across multiple pipelines (OpenAI, Recraft, Midjourney) with durable memory for project context, running on Cloudflare Workers.

Provides a visual memory and attention layer for AI agents, enabling indexing of images and videos and then searching, inspecting, tracking, and retrieving the right frame in milliseconds via MCP tools.

Enables conversational image generation, editing, and refinement through OpenAI models with session memory for iterative creative workflows.

Enables local image analysis and document processing through MCP workers (Vision and Document) using Ollama models, with cloud orchestration for mixed hierarchical tasks. Supports tools for image understanding, requirement extraction, test case generation, and GPU memory lifecycle management.

Enables AI clients to render any URL or raw HTML into PDF files or PNG/JPEG/WebP screenshots over MCP stdio or Streamable HTTP. Output stays in memory with SSRF protection, bounded concurrency, and configurable size and timeout limits.

Provides screen capture, OCR text extraction, and visual language model scene understanding capabilities with continuous monitoring and automatic memory storage integration.