Filter by source, configure your research domains, and never leave your workspace to keep up with the field — covers arXiv, HuggingFace (Daily Papers + Models / Datasets / Spaces), GitHub trending & new repos, WeChat 公众号 (via RSSHub), X, and Xiaohongshu.

Browse skills spanning ideation, code survey, experiment development & analysis, paper writing, review response, and delivery — agents auto-discover and apply them as task-level assistance throughout the pipeline.

Manual work is too slow. Fully automated AI is too generic. Vibe Researching is the new frontier. Dr. Claw turns your Research Taste into outsized outcomes with Agentic Execution--so you can move faster, think bigger, and still hold the line on scientific rigor.

• 📡 Auto Port Fallback 2026-03-26 — Port already taken? Dr. Claw finds a free one automatically. One less thing to worry about.
• 🏷️ Smart Prompt Loading 2026-03-26 — Tasks auto-load into Chat with a handy badge dropdown — just click and go!
• 🏷️ Session Stage Tags 2026-03-26 — Sessions are now auto-tagged by research stage — instantly see where each conversation stands.
• ✍️ Rebuttal Skill 2026-03-24 — New skill for crafting review rebuttals — turn reviewer feedback into publication-ready responses.
• 🧑‍💻 Multi-Session Support 2026-03-21 — Run multiple sessions in parallel with smart naming — juggle projects like a pro!
• 🗑️ Trash Bin 2026-03-21 — Accidentally deleted a project? Relax — it's in the trash, ready to be restored.
• 🤖 Dr. Claw CLI & OpenClaw 2026-03-21 — Full CLI control plus an OpenClaw integration for mobile-friendly, voice-ready research management.
• 📚 Reference Library 2026-03-20 — Manage your papers with a streamlined picker and local Zotero support — your literature, organized.
• 🔀 Git Source Control 2026-03-20 — Stage, commit, diff, and switch branches without ever leaving the app. Version control, built in.
• 📰 News Dashboard 2026-03-14 — Stay on top of research-relevant updates right inside your workspace — never miss a trending paper!

• 💬 Interactive Chat + Shell — Chat with your agent or drop into a full terminal — side by side with your research context
• 📁 File & Git Explorer — Browse files with syntax highlighting, live-edit, stage changes, commit, and switch branches without leaving the UI
• 📱 Responsive & PWA-Ready — Desktop, tablet, and mobile layouts with bottom tab bar, swipe gestures, and Add-to-Home-Screen support
• 🔄 Session Management — Resume conversations, manage multiple sessions, and track full history across projects

Project Dashboard — Start from the project overview, review status, and launch end-to-end automation.

Skill Library — Browse reusable research skills across ideation, experimentation, and writing.

News Dashboard — Follow research-relevant updates without leaving the workspace.

Open your browser at http://localhost:5173 (or the port you configured in .env).

Open a second terminal (keep npm run dev running in the first) and install the drclaw CLI harness:

pip install -e ./agent-harness

Then log in with the credentials you created during setup:

drclaw auth login --username YOUR_USERNAME --password YOUR_PASSWORD

Install at least one agent CLI (if you haven't already):

OpenRouter lets you use any model (GPT-5, Claude, Gemini, DeepSeek, Llama, Mistral, Qwen, etc.) through a single API key. Select your model in the UI or set OPENROUTER_MODEL in .env.

Navigate to the project directory you want to work in and launch any of the agents:

cd /path/to/your/project
claude    # or: gemini | codex

Skills from dr-claw/skills/ are automatically symlinked into each project's .claude/skills/ directory when the project is created, so the agent discovers them without extra configuration. You can also reference any skill manually inside a session:

> Read .claude/skills/inno-experiment-analysis/SKILL.md and follow it to analyze my results.

For a lightweight terminal-only experience using any OpenRouter model, use the built-in dr-claw chat command. No browser or UI required — just an interactive agentic session with full tool-calling capabilities (file I/O, shell, grep, glob, web search/fetch).

# Make sure OPENROUTER_API_KEY is set (or pass --key)
export OPENROUTER_API_KEY=sk-or-...

# Launch a chat session with any model
node server/cli.js chat --model moonshotai/kimi-k2.5

You can also pass the API key inline:

node server/cli.js chat --model anthropic/claude-sonnet-4 --key sk-or-your-key

Browse all available models at openrouter.ai/models.

# Development mode (launches Electron with hot reload)
npm run desktop:dev

# Build distributable installer (.dmg / .exe)
npm run desktop:dist

For details on the desktop architecture, IPC bridge, and CI/CD release process, see electron/README.md.

OpenClaw connects to Dr. Claw through the drclaw CLI, giving you project control, smart digests, and proactive notifications — all from your phone or chat app.

Architecture

┌─────────────────────────────────────────────────────────────┐
│  User  (mobile / chat / voice)                              │
│    ↕                                                        │
│  OpenClaw  ── secretary layer ──────────────────────────┐   │
│    │  runs local `drclaw ...`       receives push msgs  │   │
│    ↓                                        ↑           │   │
│  drclaw CLI  ── stable control plane ──────────────┐    │   │
│    │  JSON + openclaw.* schema          WebSocket   │    │   │
│    ↓                                        │       │    │   │
│  Dr. Claw Server                        Watcher ────┘    │   │
│    (projects, sessions, pipelines, artifacts)            │   │
└─────────────────────────────────────────────────────────────┘

The integration has three layers:

Quick Start (6 steps)

1. Start the server

npm install && npm run dev       # or: drclaw server on
drclaw --json auth status        # verify reachability

drclaw server status only reports the daemon from drclaw server on. If you started Dr. Claw with npm run dev, it may show STOPPED even though http://localhost:3001 is working — use auth status as the real check.

2. Install the CLI

pip install -e ./agent-harness
drclaw --help

If drclaw is not on your PATH:

PYTHONPATH=agent-harness python3 -m cli_anything.drclaw.drclaw_cli --help

3. Authenticate

drclaw auth login --username <user> --password <pass>
drclaw --json projects list      # should return your projects

4. Link OpenClaw

drclaw install --server-url http://localhost:3001
# with push channel:
drclaw install --server-url http://localhost:3001 --push-channel feishu:<chat_id>

This copies the Dr. Claw skill, installs wrapper scripts, and saves the server URL and CLI path.

5. Verify the core loop

Run these four commands from OpenClaw — if they all return valid JSON, the integration is live:

drclaw --json projects list                            # resolve projects
drclaw --json chat waiting                             # find sessions needing input
drclaw --json digest portfolio                         # cross-project summary
drclaw --json workflow status --project <project>      # single-project status

6. Reply into a session

drclaw --json chat waiting                             # pick a session
drclaw --json chat reply --project <proj> --session <sid> -m “Continue with option B.”
drclaw --json chat waiting --project <proj>            # confirm it cleared

For multi-turn discussion within the same project:

drclaw --json chat project --project <proj> --session <sid> -m “Summarize blockers.”

Structured Schema

Machine-facing commands return a versioned openclaw field. Current families:

Client rendering tips:

Always prefer the openclaw payload over raw reply text when both are present.

Full contract: agent-harness/cli_anything/drclaw/SCHEMA.md

Proactive Watcher

The watcher is event-driven — it subscribes to Dr. Claw WebSocket events and only notifies on attention-worthy changes.

# Configure push channel
drclaw openclaw configure --push-channel feishu:<chat_id>

# Manage the watcher
drclaw --json openclaw-watch on --to feishu:<chat_id>
drclaw --json openclaw-watch status
drclaw --json openclaw-watch off

How it works:

WebSocket event → project resolution → snapshot diff → signal derivation
                                                          ↓
                         dedup (6h TTL) ← stable signature + signal kinds
                                                          ↓
                         openclaw agent --deliver → Feishu / Lark summary
                                (fallback: plain bridge push)

Derived signals: