Memories.Sh

Memories.sh is a coding & development tool that provides a unified memory layer for AI coding agents. It stores rules, context, and project facts, generating native configs for various AI tools like Cursor and Claude Code.

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At a glance

Pricing

Freemium · Paid

Free tier

Yes

API

Yes

Skill level

Technical

About

What is memories.sh?

Memories.sh offers a local-first, durable state layer for AI coding agents, allowing developers to store rules, recall context, and generate native configurations for a wide range of tools including Cursor, Claude Code, Copilot, and Gemini. It segments agent memory into session, semantic, episodic, and procedural lanes, ensuring continuity without blending durable truths with transient chat history. The tool features compaction-safe checkpoints, layered recall, and tool-native output generation. It provides a CLI for local-first storage, an MCP server for real-time access, and a TypeScript SDK for cloud-native memory in AI applications, ensuring data portability with JSON/YAML export options.

Best used for

Ideal for developers who need to maintain consistent context across various AI coding agents, generate native configurations for different tools, and ensure durable state for their coding workflows. Especially valuable for those working with multiple AI assistants and requiring seamless context transfer and recall.

Common actions

manage AI agent memory

generate AI tool configs

maintain coding context

sync AI rules

recall project knowledge

open-sourceartificial intelligenceDeveloper ToolsGitHub

Capabilities

Key features

Segmented agent memory
Tool-native config generation
Local-first SQLite storage
Compaction-safe checkpoints
TypeScript SDK
Portable JSON/YAML export
Semantic search

Target Audience

developer

Integrations

cursorclaude-codegithub-copilotgeminivercel-v0

Pricing & Plans

Freemium · Paid

Not publicly disclosed. Check memories.sh for current pricing.

FAQs

What problem does memories.sh solve for developers?

Memories.sh solves the problem of inconsistent context and re-teaching agents across multiple AI coding tools. It provides a single source of truth for rules, decisions, and project knowledge, generating native configs for each tool so your context follows you without manual copy-pasting.

How does memories.sh handle different types of agent memory?

Memories.sh segments memory into four distinct lanes: session (active working context), semantic (durable truths), episodic (timeline logs), and procedural (repeatable workflows). This architecture prevents blending transient chat history with durable knowledge, ensuring coherent and relevant recall for agents.

Is my data locked into memories.sh or stored locally?

Memories.sh is local-first, storing your data in a local SQLite database by default, ensuring it stays on your machine and works offline. You can export everything to JSON or YAML anytime, providing full data portability and preventing vendor lock-in.

What is the purpose of the TypeScript SDK?

The TypeScript SDK connects your AI applications to memories.sh cloud, providing cloud-native memory for AI apps and dev teams. It allows you to integrate memories.sh into your app runtime, ensuring every prompt receives the correct rules and context, especially for production AI SDK apps.

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