io.github.sachitrafa/cognitive-ai-memory
Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
MCP server · by sachitrafa
About
io.github.sachitrafa/cognitive-ai-memory is an MCP server published by sachitrafa. 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
- Settings: 3
Requires: DATABASE_URL
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.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We 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: Docker image
Built from what Official MCP Registry declares.
claude mcp add --env "DATABASE_URL=<YOUR_DATABASE_URL>" --transport stdio cognitive-ai-memory -- docker run -i --rm -e DATABASE_URL ghcr.io/your-memory/cognitive-ai-memory:1.0.2
[mcp_servers.cognitive-ai-memory]
command = "docker"
args = ["run", "-i", "--rm", "-e", "DATABASE_URL", "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"]
[mcp_servers.cognitive-ai-memory.env]
DATABASE_URL = "<YOUR_DATABASE_URL>"
{
"mcpServers": {
"cognitive-ai-memory": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_URL",
"ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
],
"env": {
"DATABASE_URL": "<YOUR_DATABASE_URL>"
}
}
}
}
docker run -i --rm -e "DATABASE_URL=<YOUR_DATABASE_URL>" ghcr.io/your-memory/cognitive-ai-memory:1.0.2
Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: EXTRACT_MODEL, OLLAMA_URL.
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 | 1.0.2 | Forks (GitHub): 21 Stars (GitHub): 270 |
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.
-
Long-term memory for agentic tasks. It tells you when it doesn't know.
-
Persistent memory for Claude via weighted, interconnected knowledge nodes.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
-
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
-
Cross-session memory for AI coding agents via six tools; local-first SQLite store.
-
nexo io.github.wazionapps/nexo
Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
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)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
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…
-
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…
-
Persistent memory system for Claude Code - seamlessly preserve context across sessions
-
Connect Mem0 to Claude to give your agent persistent memory across sessions. Claude can store user preferences, project context, and conversation history, then search, update, or…
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.
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.
-
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.
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
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.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
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…
-
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.
-
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.
-
Local graph memory that lets Codex recall project context across sessions.
-
Deterministic decision capture + pre-task veto warnings from your self-hosted RoBrain stack
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
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Maps branching Copilot conversations so parallel follow-up questions and exploration paths from complex tasks or learning can be navigated without losing context. Its visual…
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
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…
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search meeting transcripts, summaries, and action items.
Has a listing on Docker MCP Catalog (5)
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Knowledge graph-based persistent memory system.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Production-ready RAG service to search and retrieve data from your documents.
Has a listing on Official MCP Registry (5)
-
Long-term memory for agentic tasks. It tells you when it doesn't know.
-
Persistent memory for Claude via weighted, interconnected knowledge nodes.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
-
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
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?
Add it to your projects and 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 its remote endpoint goes 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.