OpenLore
Sponsored by OpenLore is a minimal, extensible, agent-native knowledge base that keeps shared context current and inspectable. AI coding agents already know how to explore files with ls, cat, grep, find, pipes, and shell loops. OpenLore gives them that same interface over SSH, backed by your documentation instead of a real machine.
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Overview
Sponsored by OpenLore is a minimal, extensible, agent-native knowledge base that keeps shared context current and inspectable. AI coding agents already know how to explore files with ls, cat, grep, find, pipes, and shell loops. OpenLore gives them that same interface over SSH, backed by your documentation instead of a real machine.
Capabilities
- ssh
Explore docs via SSH — Ask your assistant to `ssh` into OpenLore and use familiar commands like `ls`, `cat`, or `grep` to search and read Markdown documentation.
- Query document metadata
Use the `lore meta` command to inspect frontmatter as NDJSON and filter results with `jq` for structured knowledge retrieval.
- publish
Publish content with approval — Have your assistant write or update Markdown files using `publish`, `patch`, or `sed -i`, with atomic swaps and optional human review for sensitive paths.
- Manage identity-scoped access
Configure docsets, roles, and grants so each agent or user only sees the knowledge bases and paths they're authorized to access.
- Validate knowledge bundles
Run `lore validate` to check Google's Open Knowledge Format (OKF) compliance and catch malformed frontmatter before it's committed.
Installation
http://localhost:8080/mcp
Configuration
{
"mcpServers": {
"openlore": {
"url": "http://localhost:8080/mcp"
}
}
}Paste into ~/.cursor/mcp.json or .cursor/mcp.json
Tags
- knowledge-retrieval
- document
- memory
- ssh
- ai-agent
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