LoreDocs
Versioned document vault system for MCP-compatible AI agents. Organizes reference knowledge (specs, contracts, rules) into per-project vaults with 36 MCP tools for inject, search, link, and version operations. Local SQLite backend. Works with Claude, Cursor, Codex, Hermes Agent. Free (3 vaults) / Pro ($9/mo).
README
LoreDocs v0.1.7
Your AI project's knowledge base. Organized, searchable, version-tracked.
LoreDocs gives Claude persistent access to your project documentation -- specs, guides, architecture decisions, reference docs -- so it never loses context between sessions. Works with Claude Code and Cowork.
Available on the Anthropic Marketplace. Install directly from Claude, or via PyPI:
uvx loredocs
Quick Start
Prerequisites: uv (fast Python package manager).
# Install uv (one time)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Clone and install
cd /path/to/loredocs
uv sync
For detailed installation instructions (including Cowork plugin setup), see INSTALL.md.
Using LoreDocs
Claude Code (Terminal)
claude --plugin-dir /path/to/loredocs
Or inside an existing session:
/plugin add /path/to/loredocs
Once loaded, Claude has access to all 42 LoreDocs MCP tools automatically. Ask Claude to "create a vault for this project" or "find the architecture doc" and it uses the tools on its own.
Cowork (Desktop App)
- Click + next to the prompt box
- Select Plugins > Add plugin
- Browse to the
loredocssource folder
Shared Database Access: Cowork runs in a sandboxed VM. To access docs saved from Claude Code, ask Claude:
"Mount my ~/.loredocs folder"
How It Works
LoreDocs organizes knowledge into vaults -- named containers for related documents. Each vault can hold specs, guides, decisions, checklists, or any text you want Claude to remember.
~/.loredocs/loredocs.db <-- SQLite database (metadata, search index)
~/.loredocs/vaults/<vault-id>/ <-- Document files on disk
Key concepts:
- Vaults group related docs by project or topic
- Documents are text files with metadata (tags, categories, priority, notes)
- Version history tracks every change to every document
- Full-text search via SQLite FTS5 finds anything instantly
- Injection loads vault content into Claude's context on demand
Your Data is Always Available
LoreDocs works through MCP tools when they are available and falls back to bundled scripts automatically when they are not. Your vault documents are safe regardless of MCP status -- the same add, search, and retrieve operations work either way. You do not need to configure anything; the plugin skill handles the switch silently.
Verify Installation
After installing, verify LoreDocs is working by asking Claude:
"Run
vault_listand show me the results."
If you see a list of vaults (or an empty list if this is your first time), LoreDocs is connected. If you get an error about missing tools, re-run uv sync and reload the plugin.
Recommended CLAUDE.md Setup
For the best experience, add the following snippet to your ~/.claude/CLAUDE.md (global) or your project's CLAUDE.md. This tells Claude how to use LoreDocs consistently across sessions.
## LoreDocs (persistent project knowledge)
At session start:
1. Call `vault_list` to see available knowledge vaults.
2. Call `vault_inject_summary` for any vaults relevant to the current project.
3. Use this context to understand project architecture, decisions, and reference docs.
During the session:
- If you create significant documentation, add it to LoreDocs with `vault_add_doc`.
- Tag documents for easy cross-vault discovery with `vault_tag_doc`.
At session end:
- If new docs were created or updated, ensure they are stored in LoreDocs for future sessions.
For Cowork users: Cowork does not run hooks automatically. Add instructions to call vault_list and vault_inject_summary at session start in your project CLAUDE.md.
Canonical Project Knowledge
In multi-agent environments, different tools and agents often create improvised mirrors of shared skill or configuration content -- playbooks, style guides, shared reference docs. Those mirrors drift. One agent updates the source; the other keeps reading the stale copy. Two agents in the same project end up operating from divergent knowledge with no visible signal that anything is wrong.
LoreDocs prevents this by making the vault the single canonical source that every agent
reads. Instead of each agent loading a local file copy, every agent calls
vault_inject_by_tag at session start and gets the same vault-managed version.
Recommended pattern
Store shared content (playbooks, team guidelines, shared specs) as vault documents rather than as local files that agents copy or mirror.
Agents load the content at session start:
vault_inject_by_tag: team-playbook
All agents -- regardless of surface (Claude Code, Cowork, CLI, or any future AI tool) -- call the same vault and receive the same current version. Updating the content requires editing the vault document once; all agents pick up the change on their next session start.
Local files (.claude/skills/, .agents/, or any surface-specific config) become
pointers or bootstrap stubs only -- not the authoritative content. The vault is the
source of truth.
Example: sharing a playbook across an agent team
# Session start for any agent on the team:
# 1. Inject the shared playbook by tag
vault_inject_by_tag("team-playbook")
# 2. Inject any project-specific reference docs
vault_inject_by_tag("project-architecture")
# Working context is now current -- no local file copies needed.
To store the shared content in the vault (one time, or on each update):
# Store (or update) the shared playbook:
vault_update_doc(vault="team-knowledge", doc_id="playbook-id", content=open("PLAYBOOK.md").read())
# Or add it fresh:
vault_add_doc(vault="team-knowledge", name="Team Playbook", content=open("PLAYBOOK.md").read(), tags=["team-playbook"])
Any agent that calls vault_inject_by_tag("team-playbook") reads the same document.
No copies, no mirrors, no drift.
Features
- Vault organization: Group docs by project with linked project metadata
- Document versioning: Full history with rollback to any prior version
- Tagging and categorization: Tag docs for cross-vault discovery
- Priority levels: Mark docs as critical, high, normal, or low priority
- Full-text search: Fast keyword search across all vaults and documents
- Context injection: Load specific docs, tags, or vault summaries into Claude's context
- Bulk operations: Import directories, bulk-tag, export manifests
- Document linking: Connect related docs across vaults
- Embedding-based document relationships (Pro):
vault_find_relatedreturns both keyword co-occurrence and embedding-based auto-links for Pro users. Uses BGE-small-en-v1.5, cosine >= 0.75, same-vault scoped. Embedding links are archived if you downgrade from Pro to Free. - Cross-product session linking (Pro): Automatically links vault documents to the most relevant LoreConvo sessions, and vice versa. Three tools:
vault_link_session,vault_get_session_links,vault_get_linked_sessions. Requires both LoreDocs Pro and LoreConvo Pro. - Tier management: Free/Pro/Team tiers with configurable limits
- Local-first: SQLite database, no cloud dependency, zero API costs
MCP Tools
LoreDocs provides 42 MCP tools organized by function:
Vault Management (8 tools)
| Tool | What it does |
|---|---|
vault_create |
Create a new vault with name and description |
vault_list |
List all vaults with doc counts and sizes |
vault_info |
Get detailed vault information |
vault_archive |
Archive a vault (preserves data, hides from listing) |
vault_delete |
Permanently delete a vault and all its documents |
vault_link_project |
Link a vault to a project directory |
vault_open_workspace |
Open or create the vault scoped to a directory path |
loredocs_onboard |
Set up workspace with starter vaults on first install |
Document Operations (10 tools)
| Tool | What it does |
|---|---|
vault_add_doc |
Add a new document to a vault (inline content or from file path) |
vault_update_doc |
Update document content (creates version history) |
vault_remove_doc |
Remove a document from a vault |
vault_get_doc |
Retrieve a document with full content |
vault_list_docs |
List documents in a vault with filtering and sorting |
vault_copy_doc |
Copy a document to another vault |
vault_move_doc |
Move a document to another vault |
vault_doc_history |
View version history of a document |
vault_doc_restore |
Restore a document to a previous version |
Search and Discovery (5 tools)
| Tool | What it does |
|---|---|
vault_search |
Full-text search across all vaults |
vault_search_by_tag |
Find documents by tag across all vaults |
vault_find_related |
Discover documents related to a given doc (Pro only) |
vault_suggest |
Proactive suggestions for relevant docs to load |
vault_rebuild_index |
Rebuild the LanceDB semantic search index (Pro only; run once after installing Pro deps) |
Organization (5 tools)
| Tool | What it does |
|---|---|
vault_tag_doc |
Add tags to a document |
vault_bulk_tag |
Tag multiple documents at once |
vault_categorize |
Set document category (spec, guide, decision, etc.) |
vault_set_priority |
Set document priority level |
vault_add_note |
Add a note or annotation to a document |
Context Injection (4 tools)
| Tool | What it does |
|---|---|
vault_inject |
Load specific documents into Claude's context |
vault_inject_by_tag |
Load all documents matching a tag |
vault_inject_summary |
Load a vault summary with doc titles and descriptions |
vault_prime |
Pre-load vault context into current session (convenience wrapper for vault_inject_summary) |
Import/Export (3 tools)
| Tool | What it does |
|---|---|
vault_import_dir |
Import a directory of files into a vault |
vault_export |
Export a document to a file on disk |
vault_export_manifest |
Export vault metadata as a JSON manifest |
Document Links (2 tools)
| Tool | What it does |
|---|---|
vault_link_doc |
Create a link between two documents |
vault_unlink_doc |
Remove a link between documents |
Administration (3 tools)
| Tool | What it does |
|---|---|
vault_tier_status |
Check current tier limits and usage |
vault_set_tier |
Set the active tier (free, pro, team) |
get_license_tier |
Check current tier and license key status |
Cross-product Session Links (3 tools, Pro)
| Tool | What it does |
|---|---|
vault_link_session |
Create a manual link from a LoreConvo session to a LoreDocs document |
vault_get_session_links |
Return LoreConvo sessions linked to a LoreDocs document |
vault_get_linked_sessions |
Return LoreDocs documents linked to a given LoreConvo session |
Portable Project Workspace
LoreDocs and LoreConvo together form a portable project workspace for all of Claude -- session memory AND structured knowledge, entirely on your machine.
- LoreConvo remembers what you discussed, decided, and left open (episodic + semantic memory)
- LoreDocs stores the reference docs, specs, and guides Claude needs (durable knowledge)
Where cloud AI workspaces tie you to one ecosystem, LoreConvo + LoreDocs works across every Claude surface you already use -- Code, Cowork, and Chat. Both store data locally in SQLite. Neither sends anything to an external server.
Requirements
- Python 3.10+
- macOS or Linux
- uv package manager
mcpandpydantic(auto-installed byuv sync)
Data and Privacy
LoreDocs is local-first. All data lives in ~/.loredocs/ on your machine.
- Data collected: Document names, content, tags, categories, and vault names you provide when storing documents. No telemetry, usage analytics, or identifiers are collected automatically.
- Storage: SQLite database at
~/.loredocs/loredocs.db; document files in~/.loredocs/vaults/. No cloud storage. Override the root directory with theLOREDOCS_ROOTenvironment variable. - Third-party sharing: None. Data never leaves your machine.
- Retention: Data is retained until you delete it via
vault_remove_doc,vault_delete, or remove the database files manually. No automatic expiry. - Contact: info@labyrinthanalyticsconsulting.com
Full privacy policy: https://labyrinthanalyticsconsulting.com/privacy
Troubleshooting
MCP tools not showing up in Claude Code?
Make sure you ran uv sync first. The virtual environment must exist with dependencies installed.
"No module named 'mcp'" error?
The .mcp.json points to the virtual environment's Python. If you moved the folder, re-run uv sync.
Cowork can't see docs saved in Code? Ask Claude to "mount my ~/.loredocs folder" so Cowork can access the shared database.
Fallback Script (Direct DB Access)
If the MCP server is unreachable (e.g., in scheduled tasks or automation scripts), scripts/query_loredocs.py provides the same core operations directly against the SQLite database.
# List all vaults
python scripts/query_loredocs.py --list
# Show vault details and document manifest
python scripts/query_loredocs.py --info "My Project Docs"
# Search documents across all vaults
python scripts/query_loredocs.py --search "architecture"
# Add a document to a vault
python scripts/query_loredocs.py --add-doc \
--vault "My Project Docs" \
--name "Architecture Overview" \
--file docs/architecture.md \
--tags '["architecture", "design"]'
# Add a document from stdin
echo "# Quick Note" | python scripts/query_loredocs.py --add-doc \
--vault "My Project Docs" \
--name "Quick Note" \
--stdin
The script auto-discovers the database at ~/.loredocs/loredocs.db (or pass --db-path explicitly). It writes the same schema as the MCP tools, including FTS indexing and on-disk file storage.
License
Business Source License 1.1 (BSL 1.1) - Labyrinth Analytics Consulting
Free for personal/non-commercial use (up to 3 vaults). Commercial use requires a paid license. Converts to Apache 2.0 on 2030-03-31. See LICENSE for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.