io.github.adelinamart/robrain
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
MCP server · by adelinamart
About
io.github.adelinamart/robrain is an MCP server published by adelinamart. 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
- Secrets: 1
- Settings: 2
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 --env "PERCEPTION_API_KEY=<YOUR_PERCEPTION_API_KEY>" --transport stdio robrain -- npx -y robrain[mcp_servers.robrain]
command = "npx"
args = ["-y", "robrain"]
[mcp_servers.robrain.env]
PERCEPTION_API_KEY = "<YOUR_PERCEPTION_API_KEY>"{
"mcpServers": {
"robrain": {
"command": "npx",
"args": [
"-y",
"robrain"
],
"env": {
"PERCEPTION_API_KEY": "<YOUR_PERCEPTION_API_KEY>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: PERCEPTION_API_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 | 2.4.9 | Forks (GitHub): 5 Stars (GitHub): 82 |
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.
-
vasperamemory io.github.RCOLKITT/vasperamemory
Persistent AI memory for coding assistants. 80+ tools for decisions, patterns, errors.
-
cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
-
instinct io.github.yakuphanycl/instinct
Self-learning memory for AI coding agents with pattern detection and confidence scoring.
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
repomemory io.github.DanielGuru/repomemory
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
-
verbative-memory io.github.verbative/verbative-memory
On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
-
memorykit io.github.rapozoantonio/memorykit
Cognitive memory for AI coding assistants — persistent memory across sessions
-
aidimag io.github.AiDimag/aidimag
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.
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)
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
-
Teach your AI coding agent the MASA (Modular Agentic Semantic Architecture) framework — maximizes how well agents can understand, navigate, and safely modify your codebase.
-
agent-comm io.github.keshrath/agent-comm
Agent intercommunication - messaging, channels, shared state, and real-time events
-
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…
Has a listing on Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
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…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Has a listing on Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
MCP server for terminal commands, file operations, and process management
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…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
AI-powered code review in Codex, powered by CodeRabbit.
Has a listing on Community GitHub marketplaces (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Endor Labs workflow agents and setup for Claude Code.
-
Local graph memory that lets Codex recall project context across sessions.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
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 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.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
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.
-
Advanced Security plugin for 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…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Has a listing on Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Has a listing on Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
Has a listing on Official MCP Registry (5)
-
vasperamemory io.github.RCOLKITT/vasperamemory
Persistent AI memory for coding assistants. 80+ tools for decisions, patterns, errors.
-
cogmem io.github.writerslogic/cogmem
A self-improving, verifiable memory layer for AI coding agents.
-
instinct io.github.yakuphanycl/instinct
Self-learning memory for AI coding agents with pattern detection and confidence scoring.
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
repomemory io.github.DanielGuru/repomemory
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
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.