agentmods.dev

lore

An MCP server that connects agents to Lore, a locally running memory system with semantic search, linked knowledge, and extracted facts.

In plain words
What is it for?
Use it to store decisions, lessons, facts, and preferences, then retrieve related information while working.
Why use it?
It gives agents a way to save and find useful context across separate sessions.

MCP server for Claude CodeCodexCursorGemini CLIOpenCode

7 2d ago A scan tokens not measured original MIT
View the source file agentkitai/lore
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/agentkitai/lore/lore
Clone the repo
git clone --depth 1 https://github.com/agentkitai/lore

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

lore 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 · 10 lines

What it actually says

{
  "lore": {
    "command": "uvx",
    "args": [
      "lore-sdk",
      "lore-sdk[mcp]"
    ],
    "env": {}
  }
}
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.

  1. yesterday First seen · 10 lines scan A 91b43a5f8c3d

Subscribe to this mod's changes

lore is an MCP server published in the GitHub repository agentkitai/lore (7 stars, last pushed 2d 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.

Learning and teachingMemory and contextResearchai-agentscross-agentknowledge-graphmcppython
Related

Other mcp servers, from other repositories

aspark-graph

A lean, local code-and-artifact knowledge graph that speaks SPARK. Runs locally from the aspark-graph Python package.

a-lottes/aSPARK-graph · not measured

canvas-mcp

Local-first MCP server for Canvas LMS. Stdio transport, no third-party broker. Runs locally from the canvas-local-mcp Python package. Needs 2 environment variables to run.

admin978/canvas-mcp · not measured

a-memory

a-memory — persistent, layer-isolated memory for AI agents: 5 primitives, hybrid search, knowledge graphs, envelope encryption. Runs locally from the a-memory Python package.

Cipher208/a-memory · not measured

lindas

MCP server "lindas" as configured in malkreide/lindas-mcp. Runs lindas_mcp.server with python.

malkreide/lindas-mcp · not measured

lindas-mcp

MCP server for LINDAS — the Swiss administration's linked-data knowledge graph. Runs locally from the lindas-mcp Python package.

malkreide/lindas-mcp · not measured

workgraph

MCP server "workgraph" as configured in AlexWangzhixin/WorkGraph. Runs locally from the workgraph Python package.

AlexWangzhixin/WorkGraph · not measured