DeerFlow is an open-source super-agent harness that coordinates sub-agents, memory, tools, sandboxes, and extensible skills to handle research, coding, and content-creation tasks that may run for minutes or hours. It is intended for long-running, multi-step work performed by AI agents. The catalogue entries are skills, agents, and instructions that support its workflows.
Borrowing it
Nothing to install: this file belongs to bytedance/deer-flow. 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/bytedance/deer-flow/main/AGENTS.mdgit clone --depth 1 https://github.com/bytedance/deer-flowWrote 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/bytedance/deer-flow/agents-md)<a href="https://agentmods.dev/instructions/bytedance/deer-flow/agents-md"><img src="https://agentmods.dev/badge/instructions/bytedance/deer-flow/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/bytedance/deer-flow/agents-md"><img src="https://agentmods.dev/badge/instructions/bytedance/deer-flow/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 | $0.03212 | $0.03212 |
| Opus 5.5 | $0.01285 | $0.01285 |
| Sonnet 5.5 | $0.00642 | $0.00642 |
| Haiku 4.5 | $0.00321 | $0.00321 |
Grade A, and why
deer-flow 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 2d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance source; CLAUDE.md imports @AGENTS.md.
Module guides:
- backend/AGENTS.md — backend depth: harness/app split, agent & middleware chain, sandbox, MCP, skills, memory, IM channels, persistence/migrations, config system, test layout.
- frontend/AGENTS.md — frontend depth: Next.js App Router layout, thread/streaming data flow, code style, commands.
What is DeerFlow
DeerFlow combines LangGraph and Next.js with thread-isolated sandbox execution, memory, subagents and extensible tools. IM channels connect through the Gateway.
Service Topology
A single make dev / Docker stack runs four cooperating services:
| Service | Port | Role |
|---|---|---|
| Nginx | 2026 |
Unified reverse-proxy entry point — open this in the browser |
| Gateway API | 8001 |
FastAPI REST API + embedded LangGraph-compatible agent runtime |
| Frontend | 3000 |
Next.js web interface |
| Provisioner | 8002 |
Optional — only when sandbox is configured for provisioner/K8s mode |
Nginx is the single public entry: it proxies /api/* to the Gateway, rewriting
/api/langgraph/* onto the Gateway's native routes, and serves the frontend — see
backend/AGENTS.md for the runtime and router detail. It compresses
HTML and configured textual assets, deliberately leaving SSE, fonts, images, audio, and
video uncompressed at the proxy layer.
Keep the dedicated /api/threads/{thread_id}/browser/stream WebSocket regex before
the generic threads regex in Docker, local and Helm nginx configs. Upgrade headers
and the 600s read timeout are pinned by backend/tests/test_nginx_browser_websocket.py.
Helm uses nginx's default connect/send timeouts for the in-cluster Gateway.
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.
- 2d ago Changed · +5 lines · +74 tokens per session 8eb4cd6359b1
- 3d ago Changed · +1 lines · +10 tokens per session b12063039bfa
- 4d ago Changed · +9 tokens per session 96af906881cc
- 5d ago Changed · -12 lines · -122 tokens per session ada254e4132e
- 7d ago Changed · +6 tokens per session 9bf442372deb
- 8d ago Changed · -3 lines · -104 tokens per session 0fbe01c5aefb
- 11d ago Changed · +2 lines · +34 tokens per session ad492d7377bc
- 12d ago Changed · -2 lines · -35 tokens per session 39297cffa3fe
- 17d ago Changed · -2 lines · -68 tokens per session 459f47f5a32c
- 18d ago First seen · 247 lines · 3,408 tokens per session scan A 80cbd86b1346
deer-flow AGENTS.md is an instructions file published in the GitHub repository bytedance/deer-flow (84,291 stars, last pushed today), licensed MIT. It adds 3,212 tokens to every session, about $0.0128 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.