Deepagent-research-context-engineering: Instructions file for Claude Code

CLAUDE.md

Deepagent-research-context-engineering CLAUDE.md is an instructions file for Claude Code from HyunjunJeon/Deepagent-research-context-engineering. It costs 2,649 tokens per session, scanned A, original, MIT.

A project guide for Deepagent-research-context-engineering, a system that coordinates research agents and includes Python and Rust components. It documents the project layout and development commands.

In plain words
What is it for?
Use it to install dependencies, run the development server, format and lint Python or frontend code, build the interface, type-check code, and run tests.
Why use it?
It gives agents the repository's expected setup and commands, reducing guesswork when working across the Python backend, web interface, and Rust runtime.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is HyunjunJeon/Deepagent-research-context-engineering's own configuration. It tells Claude Code how to work on Deepagent-research-context-engineering itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Deepagent-research-context-engineering configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is ├── FilesystemBackend (../research_workspace).

Reuse

Borrowing it

Nothing to install: this file belongs to HyunjunJeon/Deepagent-research-context-engineering. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/HyunjunJeon/Deepagent-research-context-engineering/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/HyunjunJeon/Deepagent-research-context-engineering

Made for: Claude Code.

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Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02649 $0.02649
Opus 5 $0.01324 $0.01324
Sonnet 5 $0.00530 $0.00530
Haiku 4.5 $0.00265 $0.00265

Measured 6d ago against content hash 70c0da514a2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Deepagent-research-context-engineering CLAUDE.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 6d 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.

CLAUDE.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

A multi-agent research system demonstrating FileSystem-based Context Engineering using LangChain's DeepAgents framework. The system includes:

  • Python DeepAgents: LangChain-based multi-agent orchestration with web research capabilities
  • Context Engineering Module: Experimental platform with 5 context optimization strategies
  • Rust rig-deepagents: Pregel-inspired graph execution runtime using Rig framework

Development Commands

Python Backend

# Install dependencies (uses uv package manager)
uv sync

# Start LangGraph development server (API on localhost:2024)
langgraph dev

# Linting and formatting
uv run ruff check .
uv run ruff format .

# Type checking
uv run mypy .

# Run tests
uv run pytest tests/                      # All tests
uv run pytest tests/test_agent.py -v      # Single file
uv run pytest -k "test_researcher" -v     # Pattern match

Frontend UI (deep-agents-ui/)

cd deep-agents-ui
yarn install
yarn dev          # Dev server on localhost:3000
yarn build        # Production build
yarn lint         # ESLint
yarn format       # Prettier

Rust rig-deepagents

cd rust-research-agent/rig-deepagents

# Run all tests
cargo test

# Run tests for a specific module
cargo test pregel::          # Pregel runtime tests
cargo test workflow::        # Workflow node tests
cargo test middleware::      # Middleware tests
cargo test checkpointing     # Checkpointing tests

# Linting (strict, treats warnings as errors)
cargo clippy -- -D warnings

# Build with optional features
cargo build --features checkpointer-sqlite
cargo build --features checkpointer-redis
cargo build --features checkpointer-postgres

Running the Full Stack

  1. Start backend: langgraph dev (port 2024)
  2. Start frontend: cd deep-agents-ui && yarn dev (port 3000)
  3. Configure UI with Deployment URL (http://127.0.0.1:2024) and Assistant ID (research)

Read the full file on GitHub · 292 lines

Changes

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.

  1. 6d ago First seen · 292 lines · 2,649 tokens per session scan A 70c0da514a2b

Subscribe to this mod's changes

Deepagent-research-context-engineering CLAUDE.md is an instructions file published in the GitHub repository HyunjunJeon/Deepagent-research-context-engineering (53 stars, last pushed 7mo ago), licensed MIT. It adds 2,649 tokens to every session, about $0.0132 per session on Opus 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.

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