What is code-graph AGENTS.md?

A project guide for CodeGraph, a tool that analyzes a codebase and displays relationships between files, classes, and functions. It describes its Python backend, React interface, and FalkorDB graph storage.

Use it when working on repository analysis, code-relationship graphs, the web interface, database storage, or chat and navigation through the analyzed code.

It explains how code moves through the system, so an agent can find the right part to change and understand how analysis results reach the interface.

How FalkorDB/code-graph configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to FalkorDB/code-graph. 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/FalkorDB/code-graph/staging/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/FalkorDB/code-graph

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/falkordb/code-graph/agents-md/github.svg)](https://agentmods.dev/instructions/falkordb/code-graph/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/falkordb/code-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/falkordb/code-graph/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/falkordb/code-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/falkordb/code-graph/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,894 This file is loaded in full into every session.

When invoked 1,894 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01894	$0.01894
Opus 5.5	$0.00758	$0.00758
Sonnet 5.5	$0.00379	$0.00379
Haiku 4.5	$0.00189	$0.00189

Measured 2mo ago against content hash a8870e398732, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-graph 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.

AGENTS.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CodeGraph - Agent Instructions

Knowledge graph visualization tool for codebases. Python FastAPI backend + React/TypeScript frontend + FalkorDB graph database.

Architecture

Backend (api/): FastAPI, async-first. All routes in api/index.py. Graph ops in api/graph.py. LLM chat via GraphRAG in api/llm.py.
Frontend (app/): React 18 + TypeScript + Vite. Tailwind CSS + Radix UI. 3D force-graph visualization (D3/Force-Graph).
Database: FalkorDB (graph DB on Redis). Metadata in Redis key-value store.
Analyzers (api/analyzers/): tree-sitter (Python), multilspy (Java, C#). Base class in analyzer.py, orchestrator in source_analyzer.py.

Data flow

User submits repo URL or folder path -> backend clones/reads and analyzes via language-specific analyzers
Entities stored in FalkorDB (nodes: File, Class, Function; edges: DEFINES, CALLS, etc.)
Metadata (URL, commit) stored in Redis
Frontend fetches graph, renders interactive visualization
User can chat (GraphRAG), explore neighbors, find paths

Directory structure

api/                  # Python backend
  cli.py              # cgraph CLI tool (typer)
  index.py            # FastAPI app, routes, auth, SPA serving
  graph.py            # FalkorDB graph operations (sync + async)
  llm.py              # GraphRAG + LiteLLM chat
  project.py          # Repo cloning and analysis pipeline
  info.py             # Redis metadata operations
  prompts.py          # LLM prompt templates
  auto_complete.py    # Prefix search
  analyzers/          # Language-specific code analyzers
  entities/           # Graph entity models
  git_utils/          # Git history graph construction
app/                  # React frontend (Vite)
  src/components/     # React components (ForceGraph, chat, code-graph, etc.)
  src/lib/            # Utilities
skills/code-graph/    # Claude Code skill for code graph indexing/querying
tests/                # Pytest backend tests
  endpoints/          # API endpoint integration tests
e2e/                  # Playwright E2E tests
  seed_test_data.py   # Test data seeder

Read the full file on GitHub · 181 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.

2mo ago First seen · 181 lines · 1,894 tokens per session scan A a8870e398732

Subscribe to this mod's changes

code-graph AGENTS.md is an instructions file published in the GitHub repository FalkorDB/code-graph (351 stars, last pushed 4d ago), licensed MIT. It adds 1,894 tokens to every session, about $0.0076 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.

LLM code-graph genai graph graph-database source-graph

code-graph AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
code-graph AGENTS.mdFalkorDB/code-graph	Instructions file	351	4d ago	MIT	A	1,894	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	yesterday	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

code-graph: Instructions file for Codex