TradeMemory is a memory and audit layer for AI trading agents that records trading decisions, outcomes, and context in a tamper-evident history. It is for traders and automated trading systems that need agents to recall past decisions and document their reasoning. Catalogue add-ons provide skills, commands, MCP tools, and related workflow components for using it.
Borrowing it
Nothing to install: this file belongs to mnemox-ai/tradememory-protocol. 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/mnemox-ai/tradememory-protocol/master/AGENTS.mdgit clone --depth 1 https://github.com/mnemox-ai/tradememory-protocolWrote 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/mnemox-ai/tradememory-protocol/agents-md)<a href="https://agentmods.dev/instructions/mnemox-ai/tradememory-protocol/agents-md"><img src="https://agentmods.dev/badge/instructions/mnemox-ai/tradememory-protocol/agents-md.svg" alt="Measured on agentmods" 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 | $0.00355 | $0.00355 |
| Opus 5 | $0.00178 | $0.00178 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
tradememory-protocol 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 8d 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.
What it actually says
TradeMemory Protocol — Agent Context
Project Rules
- Default branch is
master. - Use Python 3.10+ and UTC timestamps.
- Preserve platform-neutral core boundaries; broker-specific behavior belongs in adapters.
- Never hardcode credentials.
- Run relevant pytest coverage before claiming implementation completion.
- Evolution results must distinguish exploratory evidence from untouched validation.
Recent Changes
- [2026-07-14] Added the formal 18-task Policy Evolution Plane implementation plan, including TDD, migration, statistical isolation, staged rollout, MT5 replay, privacy, independent reviews, full regression, and launch gates.
- [2026-07-14] Added and pushed the approved Policy Evolution Plane specification and design workflow task file after rebasing over four newer remote commits without force-push.
- [2026-07-14] Approved and documented the Protocol-centered Policy Evolution Plane design: typed recall/risk/strategy policies, immutable policy bundles, scoped assignments, separate validation and rollout lifecycles, automatic personal staged promotion, institutional approvals, local/VPC data plane, optional cohort cloud, and MT5 reference integration.
- [2026-04-10] Completed SSRT Phase 2 experiments;
mSPRT_t03remained the strongest statistically valid method in the recorded experiments.
Current Status
- Policy Evolution Plane design is approved; the formal implementation plan and executable
tasks.txtare ready for execution selection. - Existing automatic strategy promotion remains disabled pending correction of OOS feedback leakage, DSR gate semantics, multi-layer transaction atomicity, idempotency conflicts, and losing-memory recall coverage.
- Next workflow: choose subagent-driven or inline execution, then implement Tasks 1–18 in order with per-task review gates.
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.
- 8d ago First seen · 24 lines · 355 tokens per session scan A 3b38e3ad33c2
tradememory-protocol AGENTS.md is an instructions file published in the GitHub repository mnemox-ai/tradememory-protocol (1,415 stars, last pushed 27d ago), licensed MIT. It adds 355 tokens to every session, about $0.0018 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
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.