A memory server for an AI research workflow, configured to run as an MCP service. MCP is a standard way for an AI assistant to connect to external tools or data.

Use it as a configured memory component for the associated research system; the specific jobs it supports are not described.

The description does not explain what information it stores, retrieves, or changes, so its practical benefit cannot be determined from the available details.

memory — MCP server by whenpoem

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add mcp/whenpoem/aiscientist/memory

Clone the repo

git clone --depth 1 https://github.com/whenpoem/aiscientist

Made for: Claude Code, Codex, Cursor, Gemini CLI, OpenCode.

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.mcp.json · 15 lines

What it actually says

{
  "memory": {
    "command": "uv",
    "args": [
      "tool",
      "run",
      "--from",
      "claudescientist==5.1.4",
      "claudescientist",
      "mcp",
      "memory"
    ],
    "startup_timeout_sec": 30
  }
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 15 lines scan A 6db975ad2aa1

Subscribe to this mod's changes

memory is an MCP server published in the GitHub repository whenpoem/aiscientist (8 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI Frontend LLM Memory and context academic-tools ai-scientist llm-agents research-automation research-workflow

vessel-browser

AI-native browser runtime for autonomous agents with human-in-the-loop supervision. Runs locally from the @quanta-intellect/vessel-browser npm package.

unmodeled-tyler/vessel-browser · not measured

dos-kernel

Dispatch Operating System — the domain-free trust substrate for fleets of autonomous agents (verdict spine, ship oracle, structured refusal, lane arbiter, correlation spine). Runs locally from the dos-kernel Python package. Needs 1 environment variable to run.

anthony-chaudhary/dos-kernel · not measured

memory

Getting it into your agent

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

Other mcp servers, from other repositories

vessel-browser

dos-kernel

kiagent

tgms

kafka-sentinel-mcp

linux-mcp