Borrowing it
Nothing to install: this file belongs to Chariton-kyp/Memgentic. 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/Chariton-kyp/Memgentic/main/CLAUDE.mdgit clone --depth 1 https://github.com/Chariton-kyp/MemgenticWrote 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/chariton-kyp/memgentic/claude-md)<a href="https://agentmods.dev/instructions/chariton-kyp/memgentic/claude-md"><img src="https://agentmods.dev/badge/instructions/chariton-kyp/memgentic/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/chariton-kyp/memgentic/claude-md"><img src="https://agentmods.dev/badge/instructions/chariton-kyp/memgentic/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 | $0.05367 | $0.05367 |
| Opus 5 | $0.02684 | $0.02684 |
| Sonnet 5 | $0.01073 | $0.01073 |
| Haiku 4.5 | $0.00537 | $0.00537 |
Grade A, and why
Memgentic 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 9d 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 — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project Overview
Memgentic (Μνήμη) — Universal AI Memory Layer. Zero-effort knowledge capture across all AI tools. Source-aware memory with semantic search, filtering, and knowledge graphs.
Named after the Greek Titaness of memory, mother of the Muses.
The Problem We Solve
Every AI conversation is ephemeral — knowledge is lost when the session ends. Worse, knowledge is siloed: what Claude knows, ChatGPT doesn't, and vice versa. No universal memory layer exists that captures knowledge automatically from all AI tools and makes it available everywhere.
Memgentic is that missing layer.
Architecture: Monorepo with Extractable Core
memgentic/ ← Independent package (core engine, extractable)
├── memgentic/
│ ├── config.py Settings (Pydantic)
│ ├── models.py Data models (Memory, SourceMetadata, SessionConfig)
│ ├── cli.py CLI tool (Click + Rich)
│ ├── storage/
│ │ ├── metadata.py SQLite + FTS5 (metadata, full-text search)
│ │ └── vectors.py Qdrant (semantic vector search)
│ ├── processing/
│ │ ├── embedder.py Embedding generation (Ollama / OpenAI)
│ │ ├── pipeline.py Ingestion pipeline (chunk → embed → store)
│ │ ├── intelligence.py LLM classification, extraction, summarization
│ │ └── llm.py LLM client (Gemini Flash Lite)
│ ├── adapters/
│ │ ├── base.py Base adapter interface
│ │ ├── registry.py Adapter registry (auto-discovery)
│ │ ├── claude_code.py Claude Code adapter (~/.claude/projects/)
│ │ ├── gemini_cli.py Gemini CLI adapter
│ │ ├── chatgpt_import.py ChatGPT JSON import adapter
│ │ ├── aider.py Aider adapter (.aider.chat.history.md)
│ │ ├── codex_cli.py Codex CLI adapter
│ │ ├── copilot_cli.py Copilot CLI adapter
│ │ ├── claude_web_import.py Claude Web/Desktop import adapter
│ │ └── antigravity.py Antigravity adapter (Protocol Buffers)
│ ├── graph/
│ │ ├── knowledge.py NetworkX knowledge graph (entity co-occurrence)
│ │ └── search.py Graph-enhanced retrieval
│ ├── daemon/
│ │ └── watcher.py File system watcher (watchdog)
│ └── mcp/
│ └── server.py MCP server (FastMCP) — 30 tools (see docs/MCP-TOOLS.md)
memgentic-api/ ← REST API package (FastAPI)
├── memgentic_api/
│ ├── main.py FastAPI app with lifespan
│ ├── deps.py Dependency injection
│ ├── schemas.py Request/response Pydantic models
│ └── routes/
│ ├── memories.py CRUD + search endpoints
│ ├── sources.py Source stats endpoints
│ ├── stats.py Analytics endpoints
│ ├── graph.py Knowledge graph endpoints
│ └── import_export.py Import/export endpoints
memgentic-native/ ← Rust native acceleration (PyO3, optional)
├── Cargo.toml
├── pyproject.toml Maturin build config
└── src/
├── lib.rs PyO3 module registration
├── textproc/ Credential scrubbing, noise detection, classification
├── parsers/ JSONL, ChatGPT JSON, Protobuf, Markdown parsers
└── graph/ petgraph-based knowledge graph engine
dashboard/ ← Web Dashboard (Next.js 16, React 19, Tailwind v4, shadcn/ui)
docs/ ← Research & architecture docs
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.
- 9d ago First seen · 389 lines · 5,367 tokens per session scan A abaaa12488cc
Memgentic CLAUDE.md is an instructions file published in the GitHub repository Chariton-kyp/Memgentic (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 5,367 tokens to every session, about $0.0268 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 2026-08-31.
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