OpenLore

📜 OpenLore

Sponsored by

Give every AI agent on your team the same up-to-date knowledge.

Point OpenLore at a folder of Markdown and every agent on your team reads the same files, whether it's Claude Code, Codex, Cursor or a CI job. Agents use the tools they already know, like cat, grep and find. You decide who can see and change what.

Quick start

Install and set up a knowledge repository for your team:

brew install --cask aakarim/tap/lore
lore init my-knowledge
cd my-knowledge

lore init creates the folder and an openlore.yml with default server settings. Already in your knowledge repository? Run lore init without a directory.

Put your Markdown in a docs/ folder inside the repository, then serve it:

openlore ./docs

SSH runs on port 2222. The web view and MCP share port 8080. The contents of ./docs appear at /.

Connect an agent:

# Claude Code
claude mcp add --transport http openlore http://localhost:8080/mcp

# Codex
codex mcp add openlore --url http://localhost:8080/mcp

# Anything with a shell
ssh -p 2222 localhost "grep -r 'retry' /"

Tell your agents when to use it:

ssh -p 2222 localhost agents >> AGENTS.md

Or let your agent do the whole setup:

ssh openlore.sh teach | claude

Not on Homebrew? See the Quickstart for Linux and Windows.

Why not just keep Markdown in your repo?

For one agent in one repository, do that.

OpenLore is for when several agents, repositories or people need the same knowledge, and you need to say who can read, write or publish what. Update a file once and every agent sees the new version on its next read.

There's no vector database, ingestion pipeline or SDK. Your knowledge stays as ordinary Markdown.

Guides

• What is OpenLore
• Claude Code
• Codex
• Cursor
• OpenCode
• Meta Muse
• OpenAI dots
• Grok Bot
• Claude Duet
• LangChain
• Any agent over SSH
• Let an agent publish into an inbox
• Deploy to Render
• Prune a knowledge repository from its analytics
• Build an LLM wiki on OpenLore
• Share a coding style guide with every agent
• All documentation

Features

• Agent-native retrieval — Agents use the shell tools and composition patterns they already understand instead of learning a bespoke retrieval API.
• One knowledge surface, multiple transports — Serve the same virtual filesystem over SSH, SFTP/SSHFS (including direct VS Code browsing and editing), MCP, and a human-friendly web view.
• Live, governed knowledge — Keep content read-only, allow scoped publishing, or enable full writes per docset. Writes are atomic, conflict-aware and validated before they commit.
• Identity-scoped views — Give each person or agent only the docsets it needs, with role-based ro, publish, and rw grants, path aliases, and private home directories.
• Safe by construction — The shell is an in-memory Go interpreter, not a real operating-system shell. There is no shell escape, arbitrary process execution, or ambient network access in a normal session.
• Portable knowledge bundles — Embed docs into a self-contained binary, build cross-platform bundles with the GitHub Action, or package them as a desktop MCP extension.
• Structured knowledge without a new query language — Inspect frontmatter as NDJSON with lore meta, query it with jq, and validate Google's Open Knowledge Format (OKF) bundles and Agent Skills close to the write path.
• Extensible policy and processing — Plugins can add validation, grants, read/write middleware, metadata, and post-commit processing while preserving the same filesystem interface.

Use Cases

• Continuous Learning repository - store sessions and learnings in one shared server. Add metrics so you can optimise. Allow agents to share learnings with each other while maintaining user isolation.
• Team Artifact Repository - share markdown, HTML, JSON, Excel etc. documents you've created while maintaining access controls. Much more natural than git, more agent-native than Confluence/Notion.
• Documentation for coding agents — Put internal API docs, runbooks, product context, and architecture notes behind a familiar, greppable interface.
• A shared live memory for teams of agents — Give agents separate or shared docsets so they can publish findings, hand off work, and accumulate durable context across sessions.
• Public docs site - add any files to your public docset, enable public access and it will be shown to any agent that stumbles across your site. Improves AEO/GEO with no need to edit your existing docs.
• Skills sharing — Publish Agent Skills into shared collections so every authorised agent can discover and use the same governed procedures.
• Agent Plugins repository — Version-pin Agent Plugins repos from GitHub and serve them to your team's agents. Skills packaged in the open standard stay current automatically.
• Governed knowledge contribution — Let contributors publish into inboxes while reserving existing documents for maintainers and preventing accidental overwrites.
• Artifact repository — Store and expose reports, logs, screenshots, and generated files through the browser or SSH without building a custom artifact viewer or granting access to the agent's machine.
• Identity-specific workspaces — Mount a private home for each agent plus shared team knowledge, all through one server and one authorisation model.
• Portable customer or project knowledge — Ship a versioned executable with the relevant docs embedded, or distribute the same knowledge as an MCPB desktop extension.
• Validated knowledge catalogues — Enforce frontmatter and bundle conventions, inspect metadata cheaply, and stop malformed knowledge at admission time.

How It Works

OpenLore is built on Wish for SSH transport. A connection is handled entirely against a virtual filesystem:

1. Authenticate — connect keylessly or resolve an SSH key, certificate, passkey, or OAuth login to an identity.
2. Compose a view — mount only the docsets and paths granted to that identity.
3. Explore — run shell commands implemented as pure Go functions over that view, or use the equivalent MCP lore_bash tool.
4. Contribute safely — if writing is enabled, authorise and validate a whole-file change before committing it atomically.

OAuth clients use delegated identities, so durable write provenance distinguishes direct work by adil from work performed as adil/[email protected]. Delegates can inherit no more authority than their principal and can be narrowed by docset and capability deny lists. CIMD clients can additionally authenticate with vendor-hosted metadata and private_key_jwt; see Authenticated OAuth Clients.

The normal shell cannot invoke bash, exec, curl, or arbitrary host processes. Embedded documentation is always read-only. Explicitly trusted identities can be granted narrowly scoped asynchronous processing through the spawn capability.

Governed Writing

OpenLore is read-only by default. Writable deployments keep a single, policy-controlled write path for redirects, append, tee, patch, sed -i, file moves, publishing, and trusted external jobs.

echo "# Research" | publish /backend/findings.md
cat change.diff | patch /backend/api.md
sed -i 's/old/new/g' /backend/runbook.md

Writes are whole-object atomic swaps. Compare-and-swap protection rejects stale edits by default, docset grants constrain the target, and plugins can validate or defer a write before it commits.

See Writing and publishing for user-facing setup and Write system internals for the implementation model.

Installation

See the Quickstart for Homebrew, Linux and Windows releases, and which installations include the dashboard. To build OpenLore yourself, see Building from source.

Embed docs in a binary

Place documentation in assets/lore/ and build. The resulting binary contains the docs and serves them read-only at /docs when run with no directory argument:

make dashboard-build   # optional: include the web UI
go build -o my-docs ./cmd/openlore

Build with the GitHub Action

Produce cross-platform binaries with your docs embedded:

- uses: aakarim/openlore@v1
  with:
    docs-dir: ./docs
    config: ./openlore.yml

See Ways to use OpenLore for direct VS Code editing, MCP stdio, MCPB desktop packaging, SSHFS, and Go library usage.

Create a customised deployment

Use the bundled setup skill to create <team>-lore, a small customer-owned repository containing openlore.yml, a thin Containerfile pinned to an official OpenLore release, and deployment artifacts. It builds a working local server and verifies HTTP, MCP, authenticated SSH, writes, and persistence before deployment:

ssh openlore.sh setup | amp

The generated repository keeps initial lore.json policy and SSH-visible files under gitignored .local/. The first deployment initialises an empty persistent volume from that state. Root openlore.yml remains the Git/IaC authority and is deployed separately to /var/lib/openlore/config/openlore.yml; it is not baked into the image. Later lore.json and filesystem edits on the server are authoritative and are never overwritten by image updates.

Additional instruction commands support the full lifecycle:

• onboarding adds initial identities, roles, homes, and folders locally;
• deploy selects Fly.io, Railway, AWS, Google Cloud, Azure, DigitalOcean, or a custom deployment and verifies a shared persistence/networking contract;
• upgrade prepares only the pinned base-image version change so existing CD can deploy it.

Provider deployments require HTTPS/MCP, authenticated OpenLore SSH, administrative shell access, and a persistent /var/lib/openlore volume. Where the provider supports it, deployment configures public port 22 to forward to OpenLore port 2222. Otherwise it reports the assigned port and recommends an external TCP forwarding system.

The published container contains only OpenLore. It deliberately contains no onboarding policy or server configuration. Before the service starts, the deployment must put openlore.yml and lore.json in the persistent config directory and run:

./out --config /var/lib/openlore/config/openlore.yml

This keeps configuration independently deployable: a simple deployment can copy openlore.yml onto the volume, while Kubernetes can project the same file from a ConfigMap. Use the deploy skill for Fly.io, Railway, AWS, Google Cloud, Azure, DigitalOcean, or custom infrastructure. The repository's Railpack and Fly files provide the image, persistent-volume, and port wiring; they do not seed or mutate configuration at process startup.

For a quick hosted server without a customised repository, use the Deploy to Render button. Unlike the Railpack and Fly files, its start script writes a starter openlore.yml and lore.json to an empty disk on first boot. Render serves HTTPS, MCP and the web view only; it has no public TCP ingress for OpenLore SSH.

Railway assigns its SSH TCP proxy a public hostname and port. Standard SSH port 22 requires an external raw TCP load balancer. Fly.io can map public port 22 to OpenLore's internal port 2222 with a dedicated address. Raw SSH has no hostname or SNI routing, so one listener cannot route multiple domains on port 22.

The container workflow publishes latest from main; releases also publish VERSION, vVERSION, major, and minor image tags.

Documentation

The same pages, in the same groups, are published at openlore.sh/docs.

Introduction

Page	Contents
What is OpenLore	Serve, connect, scope, govern and observe in one page
Changelog	Current version, release notes, compatibility notes, and versioned docs

Start

Page	Contents
Quickstart	Install OpenLore, serve a folder, and connect an agent
Claude Code	Connect Claude Code over MCP and scope what it sees
Codex	Connect Codex over MCP
Cursor	Connect Cursor over MCP
OpenCode	Connect OpenCode over MCP
Meta Muse	Connect Meta Muse over MCP
OpenAI dots	Connect OpenAI dots over MCP
Grok Bot	Connect Grok Bot over MCP
Claude Duet	Connect Claude Duet over MCP
LangChain	Connect a LangChain agent over MCP and give it an identity
Any agent over SSH	Connect a coding agent or CI job over SSH and give it an identity

Concepts

How OpenLore works: docsets, transports, identity, writes, rules, and observation.

Page	Contents
Docsets	What a docset is, why access is organised around them, and how nesting, grants, aliases and fail-closed validation work
Transports	How SSH, SFTP, MCP, the JSON API and the web share one filesystem, the MCP tools, command results, sessions, and instruction commands
Auth	Authentication posture, how SSH keys, certificates, passkeys, OAuth tokens and inbox credentials resolve to an identity, roles, docsets, aliases, homes, and workload identity federation
Writing and publishing	Write modes, inboxes, conflict handling, what a successful write does and does not check, and jobs
Folder rules	.lore/config.yaml and lore.json rules, layering, permissions, rejection messages, and growth limits
Plugins and formats	Provider interfaces, Open Knowledge Format validation, lore validate, lore meta, and the Agent Skills plugin
Dashboard and metrics	Dashboard authentication, facts versus activity, and the file viewer

How to

Task walkthroughs.

Page	Contents
Ways to use OpenLore	Set up SSH, MCP over HTTP and stdio, the web view, SSHFS, embedded binaries, the GitHub Action, MCPB, and library usage
Configure the server	Create openlore.yml, precedence over embedded config and flags, HTTPS, analytics, and debug logging
Production checklist	What a shared server needs before cloud agents can reach it: a host with HTTPS out of the box, a pinned image on a volume, a public origin, a token on /mcp, passkeys
Let an agent publish into an inbox	Accept contributions from an agent without letting it edit anything else
Browse and edit from an editor	Direct VS Code and SFTP editor setup without a local project mirror
Run headlong / shellm	Use OpenLore over SSH from headlong's shellm engine, including its housekeeping skill
Build from source	Build the web UI and binary yourself, or build without the web UI
Deploy OpenLore to Render	One-click Render deployment, first passkey sign-in, upgrades, and custom domains

Reference

Lookup material: commands, keys, endpoints, interfaces, and internals.

Page	Contents
Command reference	Complete shell, introspection, publishing, syntax, CLI command, and flag reference
openlore.yml reference	Generated reference for every key openlore.yml accepts
Rules standard library	Generated reference for compiled-in rule members and their parameters
HTTP inbox API	POST /inbox/{docset} with bearer or HMAC credentials, and the token endpoints
OAuth clients	CIMD client identity, private_key_jwt, mTLS corroboration, and signing-key rotation
Write system internals	Filesystem layering, write seam, admission middleware, and async jobs
Build the dashboard	Frontend build and backend-only Go builds
Security evaluation	Threat model and security properties

Security

• Commands run in a pure-Go interpreter, not through os/exec.
• The virtual filesystem cleans paths and enforces docset boundaries.
• Allowed file patterns and ignored directories keep secrets out of the view.
• RBAC controls reads, publishing, writes, approvals, and trusted capabilities.
• The web endpoint can publish the SSH host key over TLS to avoid blind trust on first use; SSH user and host certificates are also supported.

See SECURITY.md for the full security evaluation.

License

Apache License 2.0 — Copyright © 2026 Adil Karim

OpenLore bundles third-party open-source components. Their licences and required notices are listed in assets/legal/THIRD_PARTY_NOTICES.md, with full licence texts in assets/legal/licenses/. These are embedded in the binary and served by the running service at /legal.