
Provides durable, repository-native project memory for coding agents to prevent context bloat.
Free, no paid tierThe Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- Provides durable, repository-native project memory for coding agents.
- Stores project context as plain Markdown files directly in the repository.
- Loads only task-relevant memory to prevent context bloat and improve agent efficiency.
Pros
- Prevents context bloat for coding agents
- Ensures consistency across agent sessions and teams
- Memory is human-readable and reviewable like code
- Integrates directly into existing repository workflows
- Supports a structured approach to project knowledge management
Cons
- Requires manual curation of initial memory files
- Relies on agents being configured to use the skill
- Initial setup involves CLI commands
What is MemoryCustodian?
Key Features
- Durable project memory stored in repository
- Context stored as plain Markdown files
- Selective loading of task-relevant memory
- Supports multiple agent types (Codex, Claude, Gemini)
- CLI for initialization and management
- Scaffolding for core memory protocol files (brief.md, decisions.md, constraints.md, do-not-use.md, inbox.md)
- Repair function for existing setups
- Deterministic budget and structure checks for maintenance
Pricing Plans
Pricing checked Sep 30, 2026
| Plan | Price | Details |
|---|---|---|
| Open Source | Free |
|
Is MemoryCustodian worth the price?
The pricing for MemoryCustodian is extremely generous, as it offers a fully functional open-source version for free.
This makes it an excellent option for individual developers, small teams, and open-source projects looking for a durable memory solution without any financial commitment.
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MemoryCustodian FAQ
How does MemoryCustodian differ from standard chat history for AI agents?
What types of information should be stored in MemoryCustodian's 'do-not-use.md' file?
Can MemoryCustodian be used with custom or proprietary AI coding agents?
How does MemoryCustodian ensure that agents only load relevant memory for a given task?
What is the purpose of the 'init --repair' command in MemoryCustodian?
Source: github.com