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MemoryCustodian

Repository-native project memory for coding agents, stored in Markdown and routed as bounded context packages by manifest rules.

free
Last Updated 9/11/2026

About MemoryCustodian

MemoryCustodian is a repository-native project memory tool for coding agents. It helps agents remember architecture decisions, constraints, rejected approaches, and project context across sessions, agents, and teams. It stores memory as plain Markdown files in the code repository and routes bounded context packages using manifest rules, task categories, and explicit scope, without semantic guessing or LLM ranking. The project uses only the Python standard library, has zero third-party runtime dependencies, runs fully offline, and needs neither RAG nor a vector database; memory constrains project conventions only and does not override system instructions or security boundaries. The project is open source under the MIT license.

Best for

Developers using coding agents such as Codex, Claude, and Gemini
Engineering teams that need project decisions and context to persist across sessions
Developers who want to avoid prompt and context bloat

Best use cases

Give agents the project's architecture decisions, constraints, and current shape at the start of a new session

Record decisions, constraints, and rejected approaches as Markdown memory in the repository

Route a bounded context package for the current task by task category and explicit scope

Generate guidance files for Codex, Claude, and Gemini agents to connect to project memory

Features

Repository-native memory

Stores decisions, constraints, rejected approaches, and project context as plain Markdown in the code repository.

Bounded context-package routing

Routes bounded context packages using manifest rules, task categories, and explicit scope, without semantic guessing or LLM ranking.

Multi-agent guidance files

Generates guidance files for agents to read with --agent codex, --agent claude, --agent gemini, or --agent all.

Lightweight offline design

Implemented only with the Python standard library, with zero third-party runtime dependencies and full offline operation, without RAG or a vector database.

Pros

  • Uses only the Python standard library, with zero third-party runtime dependencies and full offline operation
  • Uses deterministic manifest routing, with no RAG or vector database required
  • Stores memory as plain Markdown in your own code repository
  • Memory constrains project conventions only; it does not override system instructions or security boundaries

FAQ

Yes. This project is open source under the MIT license and is free to use.
No. It uses only the Python standard library, runs fully offline, and uses deterministic manifest routing without RAG or a vector database.

Tool Information

DeveloperMemoryCustodian
Release Date9/11/2026
Pricingfree