DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.
Borrowing it
Nothing to install: this file belongs to ResearAI/DeepScientist. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ResearAI/DeepScientist/main/AGENTS.mdgit clone --depth 1 https://github.com/ResearAI/DeepScientistWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/researai/deepscientist/agents-md)<a href="https://agentmods.dev/instructions/researai/deepscientist/agents-md"><img src="https://agentmods.dev/badge/instructions/researai/deepscientist/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/researai/deepscientist/agents-md"><img src="https://agentmods.dev/badge/instructions/researai/deepscientist/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03805 | $0.03805 |
| Opus 5.5 | $0.01522 | $0.01522 |
| Sonnet 5.5 | $0.00761 | $0.00761 |
| Haiku 4.5 | $0.00380 | $0.00380 |
Grade A, and why
DeepScientist AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepScientist Repository Guide
This AGENTS.md applies to the entire repository.
It is the repository-level guide for coding agents and maintainers working in this checkout. It should describe the code and docs that actually exist here today.
When code and docs diverge, prefer the current runtime behavior and tests, then update the docs in the same change.
Mission
Build DeepScientist as a small, local-first research operating system that:
- runs on the user's machine by default
- installs cleanly through npm
- keeps the authoritative runtime in Python
- uses prompt-led and skill-led workflow control
- stores durable state in files plus Git
- keeps one quest as one Git repository
- supports the full research loop inside one quest workspace
The target is a focused core runtime, not a large platform.
Read First
Do not start from memory. Start from the files that actually exist.
Recommended reading order for coding agents:
README.mddocs/en/README.mddocs/en/90_ARCHITECTURE.mddocs/en/91_DEVELOPMENT.md- the smallest subsystem-specific doc set that matches the task
- the actual implementation under
src/ - the relevant tests under
tests/
Important current docs by topic:
- product and docs index:
README.mddocs/en/README.mddocs/zh/README.md
- maintainer architecture and workflow:
docs/en/90_ARCHITECTURE.mddocs/en/91_DEVELOPMENT.md
- user-facing architecture and workflow:
docs/en/13_CORE_ARCHITECTURE_GUIDE.mddocs/en/14_PROMPT_SKILLS_AND_MCP_GUIDE.mddocs/en/06_RUNTIME_AND_CANVAS.mddocs/en/07_MEMORY_AND_MCP.md
- runtime and settings:
docs/en/00_QUICK_START.mddocs/en/01_SETTINGS_REFERENCE.mddocs/en/05_TUI_GUIDE.mddocs/en/09_DOCTOR.mddocs/en/31_LOCAL_BROWSER_AUTH.mddocs/en/20_WORKSPACE_MODES_GUIDE.md
- runner/provider setup:
docs/en/15_CODEX_PROVIDER_SETUP.mddocs/en/24_CLAUDE_CODE_PROVIDER_SETUP.mddocs/en/25_OPENCODE_PROVIDER_SETUP.mddocs/en/27_KIMI_CODE_PROVIDER_SETUP.mddocs/en/21_LOCAL_MODEL_BACKENDS_GUIDE.md
- connectors:
docs/en/03_QQ_CONNECTOR_GUIDE.mddocs/en/04_LINGZHU_CONNECTOR_GUIDE.mddocs/en/10_WEIXIN_CONNECTOR_GUIDE.mddocs/en/16_TELEGRAM_CONNECTOR_GUIDE.mddocs/en/17_WHATSAPP_CONNECTOR_GUIDE.mddocs/en/18_FEISHU_CONNECTOR_GUIDE.mddocs/en/19_EXTERNAL_CONTROLLER_GUIDE.md
- BenchStore:
docs/en/22_BENCHSTORE_YAML_REFERENCE.mddocs/en/23_BENCHSTORE_GITHUB_RELEASES_SPEC.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 484 lines · 3,805 tokens per session scan A 3247b279c287
DeepScientist AGENTS.md is an instructions file published in the GitHub repository ResearAI/DeepScientist (3,408 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 3,805 tokens to every session, about $0.0152 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
DeepScientist AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| DeepScientist AGENTS.mdResearAI/DeepScientist | Instructions file | 3.4k | 4mo ago | Apache-2.0 | A | 3,805 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |