DeepTutor

Q: How to install DeepTutor?

Create the agents directory: mkdir -p .claude/agents. Then add the config to .claude/agents/deeptutor.md. Finally, @deeptutor in Claude Code.

Q: What is DeepTutor best for?

DeepTutor is categorized under General. It covers: agent.

New

24.8kGitHubGeneralby HKUDS

DeepTutor: Agent-native Personalized Tutoring. https://deeptutor.info/.

First seen 5/22/2026

View Source

Overview

DeepTutor CLI Skill

Teach your AI agent to configure, manage, and use DeepTutor — an intelligent learning platform — entirely through the command line.

When to Use

Use this skill when the user wants to:

•Set up or configure DeepTutor
•Chat with DeepTutor or run a capability (deep solve, quiz generation, deep research, math animation, visualize)
•Create, manage, or search knowledge bases
•Create, manage, or run Partners (IM-connected companions)
•Search, install, or manage skills from a hub (ClawHub)
•Inspect or maintain interactive Books
•View or manage learning memory, sessions, or notebooks
•Start the DeepTutor API server or the full Web app

Prerequisites

•Python 3.11+
•DeepTutor installed: pip install deeptutor for the full Web app, pip install deeptutor-cli for CLI-only, or pip install -e . from a source checkout
•Run deeptutor init for first-time interactive setup. It walks a guided wizard (ports → LLM → embedding → search → review) and writes the same settings as the Web Settings page under data/user/settings. Add --cli to skip the ports step for CLI-only use, or --home <path> to target a specific workspace.

Commands

Chat & Capabilities

bash

# Interactive REPL
deeptutor chat
deeptutor chat --capability deep_solve --kb my-kb --tool rag --tool web_search

# One-shot capability execution
deeptutor run chat "Explain Fourier transform"
deeptutor run deep_solve "Solve x^2 = 4" --tool rag --kb textbook
deeptutor run deep_question "Linear algebra" --config num_questions=5
deeptutor run deep_research "Attention mechanisms" --kb papers
deeptutor run visualize "Plot the unit circle"
deeptutor run math_animator "Visualize a Fourier series"

# Capabilities accepted by `run` / `chat -c`:
#   chat, auto, deep_solve, deep_question, deep_research, visualize, math_animator
#   (`auto` inspects the request and routes to the right capability)

# Options for `run`:
#   --session <id>         Resume existing session
#   --tool/-t <name>       Enable tool (repeatable)
#   --kb <name>            Knowledge base (repeatable)
#   --notebook-ref <ref>   Notebook reference, "<notebook_id>:<rec1>,<rec2>" (repeatable)
#   --history-ref <id>     Referenced session id (repeatable)
#   --language/-l <code>   Response language (default: en)
#   --config <key=value>   Capability config (repeatable)
#   --config-json <json>   Capability config as JSON
#   --format/-f <fmt>      Output format: rich | json (default: rich)

deeptutor chat accepts the same --session / --tool / --kb / --notebook-ref / --history-ref / --language / --config / --config-json options, plus --capability/-c <name> to set the initial capability.

Tools for --tool / -t: user-toggleable tools are brainstorm, web_search, paper_search, reason. Context-gated tools (rag, code_execution, read_source, web_fetch, github, ask_user, …) auto-mount when their context is present, but can also be force-enabled with --tool. Run deeptutor plugin list for the full registered set.

Knowledge Bases

bash

deeptutor kb list [--format rich|json]              # List all knowledge bases
deeptutor kb info <name>                            # Show knowledge base details (JSON)
deeptutor kb create <name> --doc file.pdf           # Create from documents (--doc/-d repeatable)
deeptutor kb create <name> --docs-dir ./papers      # ...or from a directory of documents
deeptutor kb add <name> --doc more.pdf              # Add documents incrementally
deeptutor kb search <name> "query text" [--mode hybrid] [--format rich|json]
deeptutor kb set-default <name>                     # Set as default KB
deeptutor kb delete <name> [--force]                # Delete a knowledge base

Partners

Partners are IM-connected learning companions (the former "TutorBot").

bash

deeptutor partner list                              # List all partners
deeptutor partner create <id> -n "My Tutor"         # Create and start a new partner
#   -n/--name <text>   Display name
#   -s/--soul <md>     Soul markdown (the persona)
#   -m/--model <id>    Model override
deeptutor partner start <id>                        # Start a partner
deeptutor partner stop <id>                         # Stop a running partner

Skills

Install and manage skills, including packages from external hubs (ClawHub). Hub refs use <hub>:<slug>[@version] (the hub prefix defaults to clawhub).

bash

deeptutor skill search "flashcards" [--hub clawhub] [--limit 10]
deeptutor skill install clawhub:some-skill[@1.2.0] [--name local-name] [--force] [--allow-unverified]
deeptutor skill list                                # List local skills (with hub provenance)
deeptutor skill remove <name>                       # Remove a user-layer skill

Books

Maintenance commands for the BookEngine (authoring/reading is via the Web app).

bash

deeptutor book list                                 # List all books (flags stale pages)
deeptutor book health <book_id>                     # Inspect KB drift + log.md health
deeptutor book refresh-fingerprints <book_id>       # Re-snapshot KB fingerprints

Memory

bash

deeptutor memory show [<target>]    # target: L3 (all global docs, default) | L2 (all surfaces) | a doc name (e.g. profile, chat)
deeptutor memory clear [<target>]   # target: all (default) | trace (all L1) | a surface name (clears that surface's L1)
#   --force/-f   Skip confirmation

Sessions

bash

deeptutor session list [--limit 20]                 # List sessions
deeptutor session show <id> [--format rich|json]    # View session messages
deeptutor session open <id>                         # Resume session in the REPL
deeptutor session rename <id> --title "..."         # Rename a session
deeptutor session delete <id>                       # Delete a session

Notebooks

bash

deeptutor notebook list                             # List notebooks
deeptutor notebook create <name> [--description "..."]
deeptutor notebook show <notebook_id> [--format rich|json]
deeptutor notebook add-md <notebook_id> <file.md> [--title "..."] [--type chat|question|research|solve]
deeptutor notebook replace-md <notebook_id> <record_id> <file.md>
deeptutor notebook remove-record <notebook_id> <record_id>

Providers

bash

deeptutor provider login openai-codex               # OAuth login for OpenAI Codex
deeptutor provider login github-copilot             # Validate an existing Copilot auth session

System

bash

deeptutor config show                               # Print resolved configuration
deeptutor plugin list                               # List registered tools and capabilities
deeptutor plugin info <name>                         # Show a tool/capability's schema + availability
deeptutor serve [--host 0.0.0.0] [--port 8001] [--reload]   # Start the API server
deeptutor start [--home <path>]                     # Launch backend + frontend together
deeptutor init [--cli] [--home <path>]              # Create/update workspace settings

REPL Slash Commands

Inside deeptutor chat, use these:

Command	Effect
`/quit`	Exit REPL
`/session`	Show current session id
`/status`	Print the current REPL state
`/new` or `/clear`	Start a new session context
`/regenerate` or `/retry`	Re-run the last user message
`/tool on\	off <name>`	Toggle a tool
`/cap <name>`	Switch capability
`/kb <name>\	none`	Set or clear knowledge base
`/history add <id>` / `/history clear`	Manage history references
`/notebook add <ref>` / `/notebook clear`	Manage notebook references
`/show last\	<n>`	Expand a captured tool result or thinking block
`/refs`	Show all active references
`/config show\	set\	clear`	Manage capability config

Typical Workflows

First-time setup:

bash

cd DeepTutor
pip install -e .
deeptutor init        # Interactive guided setup (add --cli for CLI-only)

Daily learning:

bash

deeptutor chat --kb textbook --tool rag --tool web_search

Build a knowledge base from documents:

bash

deeptutor kb create physics --doc ch1.pdf --doc ch2.pdf
deeptutor run chat "Explain Newton's third law" --kb physics --tool rag

Generate quiz questions:

bash

deeptutor run deep_question "Thermodynamics" --kb physics --config num_questions=5

Run the full Web app locally:

bash

deeptutor start       # backend + frontend; Ctrl+C to stop

Install & Usage

Create the agents directory

mkdir -p .claude/agents

Save the agent file

Add the configuration to .claude/agents/deeptutor.md

Invoke with @agent-name

@deeptutor

View source on GitHub

agent

Security Audits

LicenseUnknownSourceWarnRepositoryPass

Frequently Asked Questions

What is DeepTutor?

DeepTutor: Agent-native Personalized Tutoring. https://deeptutor.info/.

How to install DeepTutor?

To install DeepTutor: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/deeptutor.md. Finally, @deeptutor in Claude Code.

What is DeepTutor best for?

DeepTutor is a agent categorized under General. It is designed for: agent. Created by HKUDS.