memory-mcp AGENTS.md

memory-mcp AGENTS.md is an instructions file for Codex, OpenCode from joshdougall/memory-mcp. It costs 1,040 tokens per session, scanned A, original, MIT.

Project instructions for using a persistent memory server, which stores information that can be retrieved in later coding sessions.

In plain words
What is it for?
They are for deciding when to read or save project memories and how to connect to the local memory service.
Why use it?
They reduce the need to repeat project decisions, patterns, references, and user preferences after a session ends.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/joshdougall/memory-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/joshdougall/memory-mcp

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for memory-mcp AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/joshdougall/memory-mcp/agents-md.svg)](https://agentmods.dev/instructions/joshdougall/memory-mcp/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/joshdougall/memory-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/joshdougall/memory-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,040 This file is loaded in full into every session.
When invoked 1,040 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01040 $0.01040
Opus 5 $0.00520 $0.00520
Sonnet 5 $0.00208 $0.00208
Haiku 4.5 $0.00104 $0.00104

Measured 3d ago against content hash 64388830a9d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-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 3d 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.

AGENTS.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Memory Instructions

A persistent memory MCP server is running and available to you. Use it to store and retrieve knowledge that should survive across sessions — decisions, patterns, references, and feedback that would otherwise be lost when the conversation ends.

Connection

  • Endpoint: http://127.0.0.1:3106/mcp (MCP over HTTP, Streamable HTTP transport)
  • Auth: If MEMORY_MCP_AUTH_TOKEN was set, include Authorization: Bearer <token> in requests. Check with the user if unsure.

When to read

At the start of each session, search for memories relevant to the current project or task before asking the user to re-explain context:

memory_search(tags=["your-project-name"])

When to write

Write when you discover something that should be remembered across sessions:

  • A pattern or convention the user corrected you on
  • An architectural decision and its rationale
  • A reference to an external resource or tool
  • A recurring preference or feedback
  • A project-level fact (deadline, constraint, stakeholder)

Do not write:

  • Ephemeral task state (use a STATE.md file for that)
  • Code patterns obvious from reading the repo
  • Anything already documented in project files

Memory types

Type Use for
pattern Recurring conventions, idioms, or approaches
decision Architectural or technical choices with rationale
reference Pointers to external resources, docs, or tools
feedback How the user wants you to behave or approach work
incident Post-mortems and lessons from failures
project Project-level facts (team, deadlines, constraints)
entity Named things (people, systems, accounts)
state Short-lived state that spans a few sessions

Available tools

Tool Description
memory_search Filter by tags (intersection), type, project, or text
memory_get Fetch one entry by ID — increments hit counter
memory_set Create or update an entry — versioned on every write, optional compare-and-set
memory_list List entries with optional type/project filter
memory_delete Delete an entry (tombstone version written first)
memory_history View version history for an entry
memory_rollback Restore an entry to a previous version
memory_prune_candidates Surface zero-hit stale entries for review (read-only)

Read the full file on GitHub · 112 lines

Changes

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.

  1. 3d ago First seen · 112 lines · 1,040 tokens per session scan A 64388830a9d7

Subscribe to this mod's changes

memory-mcp AGENTS.md is an instructions file published in the GitHub repository joshdougall/memory-mcp (2 stars, last pushed 17d ago), licensed MIT. It adds 1,040 tokens to every session, about $0.0052 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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