A remote memory service for AI agents that stores information after checking its quality and tracks conflicts between memories.

Use it to give an AI agent semantic memory with quality checks and conflict tracking.

It helps agents retain information across interactions and identify when stored information disagrees.

cortex — MCP server by FilippoPilo

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/filippopilo/cortex-connector/cortex

Clone the repo

git clone --depth 1 https://github.com/FilippoPilo/cortex-connector

Made for: Claude Code, Codex, Cursor.

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 unknown No closer match found in the catalogue.

Security

Grade A, and why

cortex 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.

server.json · 6 lines

The source is not reproduced here

No licence file

Read it on GitHub

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 · 6 lines scan A ba6c9c4f4a0d

Subscribe to this mod's changes

cortex is an MCP server published in the GitHub repository FilippoPilo/cortex-connector (0 stars, last pushed 9d ago), with no licence file. 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 LLM Memory and context agents ai-memory claude mcp mcp-server

hindsight

MCP server "hindsight" as configured in vectorize-io/hindsight. Launched with bash ${CLAUDE_PLUGIN_ROOT}/scripts/run_mcp.sh.

vectorize-io/hindsight · not measured

screenpipe-mcp

Search your local screen recordings, audio transcripts, and computer activity from screenpipe. Runs locally from the screenpipe-mcp npm package.

screenpipe/screenpipe · not measured

agentkeeper-aria

MCP server "agentkeeper-aria" as configured in Thinklanceai/agentkeeper. Launched with agentkeeper-mcp --agent-id aria --provider anthropic. Needs 2 environment variables to run.

Thinklanceai/agentkeeper · not measured

inspeximus

The agent memory that takes it back: correct a fact once and the retired value stops coming back, by key, with no LLM in the loop. Long-term memory for AI agents in a zero-dependency single file + MCP server, with value-ranked recall, per-type decay, consolidation, revert, and tamper-evident erasure. Runs locally from…

DanceNitra/inspeximus · not measured

usrcp

Encrypted local ledger of structured user state, shared across every MCP-aware AI tool. Runs locally from the usrcp npm package. Needs 1 environment variable to run.

frank-bot07/usrcp · not measured

mnemosis

MCP server "mnemosis" as configured in liyexiaoyi/Mnemosis. Runs locally from the mnemosis Python package.

liyexiaoyi/Mnemosis · not measured