aide-memory
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
MCP server · by aide-memory
About
aide-memory is an MCP server published by aide-memory. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio aide-memory -- npx -y aide-memory[mcp_servers.aide-memory]
command = "npx"
args = ["-y", "aide-memory"]{
"mcpServers": {
"aide-memory": {
"command": "npx",
"args": [
"-y",
"aide-memory"
]
}
}
}We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.6.3 | Forks (GitHub): 0 Stars (GitHub): 2 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.
-
Local-first long-term memory for AI coding agents. Stored on your own machine.
-
SAME - Stateless Agent Memory Engine
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
-
memory io.github.shackleai/memory
Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.
-
Git for AI memory — version-controlled, searchable context that persists across sessions
-
Shared, project-aware memory for Claude Code, Codex, and other agents with human review.
-
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
Embedded, local-first memory and retrieval for AI agents. One SQLite file, no server, no API key.
-
memory com.cortex-mem/memory
Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Local AI memory system for Claude Code and Cursor. Remembers your preferences, decisions, and project context across sessions using a Go HTTP service and Qdrant vector database…
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
Persistent local memory for Claude Code — cross-session context, semantic search, zero cloud
Has a listing on Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
MCP server for terminal commands, file operations, and process management
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
Has a listing on Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
Local graph memory that lets Codex recall project context across sessions.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Microsoft Copilot Studio plugins for AI coding agents
-
Shows live prompt-cache reuse, expiry, token composition, and AIU cost for the current GitHub Copilot session without making model calls.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Capture, search, and organize notes and collections.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Has a listing on Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Knowledge graph-based persistent memory system.
Has a listing on Official MCP Registry (5)
-
Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.
-
Local-first long-term memory for AI coding agents. Stored on your own machine.
-
SAME - Stateless Agent Memory Engine
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
-
memory io.github.shackleai/memory
Persistent memory for AI coding tools. 11 tools for any MCP-compatible AI tool.
-
Git for AI memory — version-controlled, searchable context that persists across sessions
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and can put its remote endpoint on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.