Borrowing it
Nothing to install: this file belongs to sopaco/cortex-mem. 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/sopaco/cortex-mem/main/AGENTS.mdgit clone --depth 1 https://github.com/sopaco/cortex-memWrote 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/sopaco/cortex-mem/agents-md)<a href="https://agentmods.dev/instructions/sopaco/cortex-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/sopaco/cortex-mem/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/sopaco/cortex-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/sopaco/cortex-mem/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 | $0.01620 | $0.01620 |
| Opus 5.5 | $0.00648 | $0.00648 |
| Sonnet 5.5 | $0.00324 | $0.00324 |
| Haiku 4.5 | $0.00162 | $0.00162 |
Grade A, and why
cortex-mem 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.
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.
Cortex Memory - AI Agent Context Guide
Essential context for AI coding agents working on this project.
Project Overview
Cortex Memory is a Rust-based AI-native memory framework providing persistent long-term memory for AI agents via:
- Three-tier memory hierarchy (L0/L1/L2)
- Virtual filesystem with
cortex://URI scheme - Vector-based semantic search (Qdrant)
Core Concepts
Memory Dimensions
| Dimension | Purpose | Path Pattern |
|---|---|---|
session |
Conversation memories | cortex://session/{id}/timeline/... |
user |
User-specific memories | cortex://user/{user_id}/{category}/... |
agent |
Agent-specific memories | cortex://agent/{agent_id}/{category}/... |
resources |
Shared knowledge | cortex://resources/{name}/... |
Three-Tier Layers
| Layer | Tokens | Purpose | File |
|---|---|---|---|
| L0 | ~100 | Quick relevance filtering | .abstract.md |
| L1 | ~2000 | Context understanding | .overview.md |
| L2 | Full | Complete original | {name}.md |
Search scoring: 0.2×L0 + 0.3×L1 + 0.5×L2
Data Flow
Message → Session (timeline/*.md) → Close → LLM Extract → Classify
→ user/agent/resources → Generate L0/L1 → Vector Index (Qdrant)
Workspace Structure
cortex-mem-core/ # Core business logic (src/lib.rs)
cortex-mem-service/ # REST API server (src/main.rs)
cortex-mem-cli/ # CLI tool (src/main.rs)
cortex-mem-mcp/ # MCP protocol server (src/main.rs)
cortex-mem-tools/ # MCP tool definitions (src/lib.rs)
cortex-mem-config/ # Configuration parsing (src/lib.rs)
cortex-mem-rig/ # Rig integration (src/lib.rs)
cortex-mem-insights/ # Web dashboard (Svelte)
Build & Test
cargo build --workspace
cargo test --workspace
cargo clippy --workspace --all-targets -- -D warnings
cargo fmt --check
# Run service
cargo run --bin cortex-mem-service -- --config config.toml
# Run CLI
cargo run --bin cortex-mem -- --help
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 · 236 lines · 1,620 tokens per session scan A a9fdfeb8e4e4
cortex-mem AGENTS.md is an instructions file published in the GitHub repository sopaco/cortex-mem (317 stars, last pushed 3mo ago), licensed MIT. It adds 1,620 tokens to every session, about $0.0065 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.
cortex-mem AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cortex-mem AGENTS.mdsopaco/cortex-mem | Instructions file | 317 | 3mo ago | MIT | A | 1,620 | 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 |