io.github.michael-denyer/hot-memory-mcp
Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
12,396 servers
Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
AI-powered VMware vCenter/ESXi VM lifecycle and deployment with 31 MCP tools.
MCP server for Midjourney AI image generation and editing
Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).
Memory database for LLM agents — persistent semantic + keyword memory, project namespacing, served o
Delegate from Claude Code to Gemini, Codex, Copilot, Cursor and opencode CLIs as sub-agents.
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
Ecuador's open government data for AI assistants: CKAN, SRI, BCE, INEC, Supercias, SERCOP and more.
VELUNE CLI is an open-source AI engineering CLI that unifies local LLMs (Ollama), cloud AI providers, MCP servers, tools, memory, and project context into a single developer workflow. Build, code, automate, and orchestrate AI with one extensible, provider-agnostic command-line interface.
Claude Code WhatsApp channel plugin — run AI directly from WhatsApp, voice transcription, remote tool approval, access control. No API keys, no Docker, just a linked device.
Stealth Chrome for AI agents: bot-protected sites, Turnstile, closed Shadow DOM, clean Markdown.
Local memory for AI agents: semantic, skill and episodic vaults as plain folders on disk.
Two-layer memory for AI agents with an immune system. Zero dependencies.
Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
DeepSeek Harness plugin: give your agent a browser with a persistent identity - engine-level fingerprint spoofing, unlimited free local profiles, Android device emulation, passkeys that survive, and residential proxy egress.
Universal MCP Server with advanced AI memory capabilities and semantic search.
MCP Server for Text to Speech
Memory, reflection and safety for AI agents. Hosted or local, no vector database.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.