Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sopaco/cortex-mem/agents-mdgit clone --depth 1 https://github.com/sopaco/cortex-memWhat 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 | $0.01620 | $0.01620 |
| Opus 5 | $0.00810 | $0.00810 |
| Sonnet 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 2d 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.
- 2d 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 (306 stars, last pushed 1mo ago), licensed MIT. It adds 1,620 tokens to every session, about $0.0081 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.
Other instructions, from other repositories
polymarket-paper-trader CLAUDE.md
Instructions for agent-next/polymarket-paper-trader, covering claude.md, polymarket-paper-trader, commands, install and tests (620 non-live + 42 live = 662 total, 100% coverage).
laohan-skills CLAUDE.md
Instructions for hanzhcn/laohan-skills, covering laohan-skills project rules, brand name, talking-head video workflow and skill 维护.
skills-repo AGENTS.md
Instructions for Luckycat133/skills-repo, covering repository guidelines, layout, validate, style and changes.
cli copilot-instructions.md
Instructions for halo-dev/cli, a project described as: CLI for Halo, Halo for Agents.
vscode buildNext.instructions.md
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.