Graphiti is a framework for building knowledge graphs that record facts, relationships, source provenance, and changes over time. Developers use it to give AI agents queryable context from conversations, enterprise data, documents, and external information. The catalogue instructions support working with Graphiti.
Borrowing it
Nothing to install: this file belongs to getzep/graphiti. 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/getzep/graphiti/main/CLAUDE.mdgit clone --depth 1 https://github.com/getzep/graphitiWrote 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/getzep/graphiti/claude-md)<a href="https://agentmods.dev/instructions/getzep/graphiti/claude-md"><img src="https://agentmods.dev/badge/instructions/getzep/graphiti/claude-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/getzep/graphiti/claude-md"><img src="https://agentmods.dev/badge/instructions/getzep/graphiti/claude-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 | $0.01612 | $0.01612 |
| Opus 5.5 | $0.00645 | $0.00645 |
| Sonnet 5.5 | $0.00322 | $0.00322 |
| Haiku 4.5 | $0.00161 | $0.00161 |
Grade A, and why
graphiti 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 yesterday.
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 — 177 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
Graphiti is a Python framework for building temporally-aware knowledge graphs designed for AI agents. It enables real-time incremental updates to knowledge graphs without batch recomputation, making it suitable for dynamic environments.
Key features:
- Bi-temporal data model with explicit tracking of event occurrence times
- Hybrid retrieval combining semantic embeddings, keyword search (BM25), and graph traversal
- Support for custom entity definitions via Pydantic models
- Integration with Neo4j and FalkorDB as graph storage backends
- Optional OpenTelemetry distributed tracing support
Development Commands
Main Development Commands (run from project root)
# Install dependencies
uv sync --extra dev
# Format code (ruff import sorting + formatting)
make format
# Lint code (ruff + pyright type checking)
make lint
# Run tests
make test
# Run all checks (format, lint, test)
make check
Server Development (run from server/ directory)
cd server/
# Install server dependencies
uv sync --extra dev
# Run server in development mode
uvicorn graph_service.main:app --reload
# Format, lint, test server code
make format
make lint
make test
MCP Server Development (run from mcp_server/ directory)
cd mcp_server/
# Install MCP server dependencies
uv sync
# Run with Docker Compose
docker-compose up
Code Architecture
Core Library (graphiti_core/)
- Main Entry Point:
graphiti.py- Contains the mainGraphiticlass that orchestrates all functionality - Graph Storage:
driver/- Database drivers for Neo4j and FalkorDB - LLM Integration:
llm_client/- Clients for OpenAI, Anthropic, Gemini, Groq - Embeddings:
embedder/- Embedding clients for various providers - Graph Elements:
nodes.py,edges.py- Core graph data structures - Search:
search/- Hybrid search implementation with configurable strategies - Prompts:
prompts/- LLM prompts for entity extraction, deduplication, summarization - Utilities:
utils/- Maintenance operations, bulk processing, datetime handling
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.
- yesterday Changed · -6 lines · -136 tokens per session 526229f33efc
- 14d ago Changed · +1 lines · +9 tokens per session d6153f6bb35a
- 1mo ago First seen · 182 lines · 1,739 tokens per session scan A d3847b7a3db5
graphiti CLAUDE.md is an instructions file published in the GitHub repository getzep/graphiti (32,318 stars, last pushed today), licensed Apache-2.0. It adds 1,612 tokens to every session, about $0.0064 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.
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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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.