open-cognition 0.2.1

AI-powered learning system with spaced repetition

open-cognition

AI-powered learning system with spaced repetition. Study with LLMs, capture knowledge, review with science-backed methods.

The Problem

When you study with AI (Claude, ChatGPT, etc.), the knowledge gets lost. You learn in one place, take notes in another, create flashcards in a third, and review in isolation. There's no system connecting the dots.

How it Works

open-cognition bridges the gap between AI-assisted learning and retention:

1. Study with your LLM — Claude acts as your Socratic sparring partner via MCP
2. Capture outputs — flashcards, summaries, resources, and artifacts are saved automatically
3. Organize in a knowledge graph — topics and subtopics you control
4. Review with spaced repetition — SM-2 algorithm (same foundation as Anki)
5. Deepen with Feynman technique — structured sessions that identify and close knowledge gaps

Quick Start

Prerequisites

• Python 3.13+
• uv

That's it. No database server required — open-cognition uses an embedded local database file by default. Your data stays on your machine.

Install and Run

# Run directly (no clone needed)
uvx open-cognition serve

Open http://localhost:8080 and start learning.

Using with Claude Desktop

This is where open-cognition shines. Connect it to Claude Desktop and get a learning partner that knows your knowledge graph.

1. Set up the MCP Server

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "open-cognition": {
      "command": "uvx",
      "args": ["open-cognition", "mcp"]
    }
  }
}

That's it — uvx handles installation and dependencies automatically.

2. Add the Skill

Download SKILL.md and add it to your Claude Desktop skills, or include it in your project's .claude/skills/ folder.

The skill instructs Claude to:

• Be a Socratic sparring partner during study sessions — not a lecturer
• Use the Feynman technique to identify and close knowledge gaps
• Create high-quality flashcards following strict rules (atomic, active recall, concise)
• Never create topics or cards without your approval
• Track your doubts and struggling cards

3. Start Learning

Talk to Claude naturally:

• "Let's study Transformers" → starts a session, loads your existing knowledge
• "Create flashcards from what we discussed" → proposes cards for your approval
• "Let's do a Feynman session on Attention" → structured gap-finding protocol
• "What doubts do I have open?" → reviews pending questions
• "Which cards am I struggling with?" → identifies weak spots

Features

Web UI

• Dashboard — due cards count, struggling cards, quick actions
• Topics — create, edit, delete, hierarchical subtopics
• Review session — flashcard review with SM-2, quality buttons, progress tracking
• Artifacts — markdown + mermaid rendering in modal viewer
• Resources — links, PDFs, videos organized by topic
• Doubts — capture questions during review, work them later with the LLM
• Struggling cards — analytics on most-errored flashcards
• Copyable IDs — click any entity ID to copy (e.g., topic:abc123) for LLM reference

MCP Tools (18 tools)

Category	Tools
Topics	get_topics, create_topic, update_topic, relate_topics
Flashcards	get_flashcards, get_due_flashcards, create_flashcard, create_flashcards_batch, review_flashcard, get_struggling_cards
Resources	get_resources, create_resource
Artifacts	get_artifacts, create_artifact
Doubts	get_doubts, create_doubt, resolve_doubt
Sessions	start_session, end_session, get_session_logs

Spaced Repetition (SM-2)

The same algorithm behind Anki. Cards you answer correctly get longer intervals; cards you miss reset to 1 day. The ease factor adapts per card — easy cards space out faster, hard cards stay frequent.

See docs/sm2.md for the full algorithm with formulas and examples.

Configuration

Variable	Default	Description
OC_HOST	0.0.0.0	Web server host
OC_PORT	8080	Web server port
OC_DATA_DIR	~/.open-cognition	Data directory
SURREAL_URL	—	SurrealDB connection URL (optional — uses embedded DB if not set)
SURREAL_USER	root	SurrealDB username
SURREAL_PASSWORD	root	SurrealDB password
SURREAL_NAMESPACE	open-cognition	SurrealDB namespace
SURREAL_DATABASE	test	SurrealDB database

You can set these in a .env file or as environment variables.

External SurrealDB (optional)

By default, open-cognition stores everything in a local file. If you prefer a standalone SurrealDB server (for multi-device access, backups, or production):

# Via Docker
docker compose up -d

# Or point to your existing instance
export SURREAL_URL=ws://localhost:8000/rpc

CLI

uvx open-cognition serve [--host HOST] [--port PORT]   # Start the web app
uvx open-cognition mcp                                  # Start the MCP server
uvx open-cognition --version                            # Show version
uvx open-cognition --help                               # Show help

Architecture

Claude (LLM) ──► MCP Tools ──┐
                              ├──► Services ──► Repositories ──► SurrealDB
Web UI (HTMX) ──► API Routes ┘

MCP tools and API routes share the same services layer. The LLM and the web UI see the same data.

See docs/architecture.md for details.

Development

git clone https://github.com/lfnovo/open-cognition.git
cd open-cognition
uv sync
open-cognition serve

Run tests:

uv run pytest

Documentation

• Architecture — layers, data model, graph relations
• Concepts — topics, flashcards, resources, artifacts, sessions, doubts
• SM-2 Algorithm — spaced repetition formulas and examples
• API Reference — REST endpoints
• MCP Tools — tools for LLM integration

Stack

Layer	Technology
Backend	Python + FastAPI
Database	SurrealDB (embedded file or server)
Frontend	HTMX + Jinja2 + Tailwind CSS
MCP	FastMCP
LLM	Claude (via skill + MCP)

License

MIT