LinkLore
io.linklore/llre
About LinkLore
LinkLore is an MCP server published by linklore.io. AI-native structured memory for agents (MCP). Built for agents, not humans.
It runs on your own machine: your AI client starts it from the PyPI package llre at version 0.2.2.
It asks for no keys or passwords.
Version 0.2.2 was published on 6 August 2026, and the source code is public, so you can read it before installing.
Written from the registry entry. 9 automated checks on the registry entry and the package code: 7 pass, 0 warn, 0 fail, 2 info. How we check.
What it asks for
| Variable | Required | Secret | Description |
|---|---|---|---|
LINKLORE_LANG | No | No | UI/message language for LinkLore tool output. Supported: en, ko. Leave unset to auto-detect from the OS locale (falls back to en). |
Checks
| Check | Result | Detail |
|---|---|---|
| Source repository linked | Pass | https://github.com/linklore/linklore-mcp |
| Version pinned | Pass | Every package has an explicit version |
| Secrets requested | Info | Asks for no secrets |
| Known package registry | Pass | All packages come from npm, PyPI, OCI, NuGet or MCPB |
| Namespace ownership | Info | Name verified via domain linklore.io |
| Registry text aimed at the AI | Pass | Description and settings contain no hidden characters or instructions to the AI |
| Install scripts | Pass | setup.py makes no network or process calls |
| Code red flags | Pass | Read 146 files in llre 0.2.2: no obfuscation, encoded execution, credential reads or data-collection endpoints found |
| Text aimed at the AI | Pass | No hidden characters or instructions to the AI in 146 files, including comments and the README |
Popularity & health: 51 / 100
Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.
0 forks, 0 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.
What people say
No Hacker News threads link to its source code.
Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.
Facts
| Registry name | io.linklore/llre |
|---|---|
| Publisher | Domain linklore.io |
| How the name is verified | Name verified via domain linklore.io. The registry ties the name prefix to that account or domain; it does not check the code. |
| Type | Local: runs on your machine from a package |
| Packages | pypi llre 0.2.2 (stdio) |
| Version | 0.2.2 |
| Published | |
| Last updated | |
| Source repository | https://github.com/linklore/linklore-mcp |
| Website | None linked |
| Category | Productivity & notes (assigned by keyword rule, not by hand) |
Related servers in Productivity & notes
- kernal-mcp7/7Graph-native memory for AI agents: a knowledge graph built from…
- Kanzo3/4Self-hosted kanban for humans and agents. One 4 MB binary, starts…
- Kotsukotsu3/3Goal-based task manager for humans and AI. Read goals, add…
- QodFlow7/7Shared kanban board with SLA tracking: AI agents claim jobs, report…
- MarsNMe7/7Agent-agnostic memory backend that preserves continuity between…
- flixconomy.ai: humans and Ari for agents4/4Real humans for AI agents: ask a question or rent a human for a…