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/chetto1983/turing_agentmemory_mcp/agents-mdgit clone --depth 1 https://github.com/chetto1983/turing_AgentMemory_MCPWhat 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 | $0.00687 | $0.00687 |
| Opus 5 | $0.00344 | $0.00344 |
| Sonnet 5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
turing_AgentMemory_MCP 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Read CLAUDE.md and CONTRIBUTING.md before editing; they define the
architecture, security invariants, and validation gates.
Project Structure & Module Organization
Python code lives in src/turing_agentmemory_mcp/. Keep the FastMCP boundary in
server.py; separate persistence and retrieval in the existing store_*.py
modules. Tests belong in tests/. Scripts and benchmarks live in scripts/,
public guidance in docs/, and container files in the root and docker/. Lab
web assets are under src/turing_agentmemory_mcp/frontend/.
Build, Test, and Development Commands
python -m venv .venvand.venv\Scripts\python -m pip install -e ".[dev]"create the supported Windows development environment.python -m pytest tests/test_hybrid_search.py -qruns a focused test file;make testruns the suite.python -m ruff format --check src tests scriptschecks formatting, whilemake lintchecks Ruff rules.docker compose config --quietvalidates Compose;make e2eruns the deterministic end-to-end score gate.turing-agentmemory-mcp serve --transport stdiostarts the local MCP server.
Coding Style & Naming Conventions
Target Python 3.11 or newer. Use four-space indentation, snake_case for
functions and modules, and PascalCase for classes. Ruff selects E, F, I,
B, and UP, with a 100-character target (E501 is ignored). Keep tracked
Python files below 600 lines. Prefer focused helpers over duplication. Comment
only when a constraint or workaround is not obvious from the code.
Testing Guidelines
Use pytest and name files test_<behavior>.py and tests test_<outcome>. Add or
adjust tests with behavior changes. Run the narrowest test first, then the full
gate: python -m pytest -p no:cacheprovider -q, Ruff format/check, and Compose
validation. CI enforces at least 78% coverage and treats skipped
integration or gpu tests as failures when those tiers are collected.
Commit & Pull Request Guidelines
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 · 60 lines · 687 tokens per session scan A 7daf76c6b876
turing_AgentMemory_MCP AGENTS.md is an instructions file published in the GitHub repository chetto1983/turing_AgentMemory_MCP (0 stars, last pushed 2d ago), licensed MIT. It adds 687 tokens to every session, about $0.0034 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 2026-09-01.
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