atomicmemory

About atomicmemory

AtomicMemory Inspectable, portable semantic memory for agents and applications. AtomicMemory is a memory layer you embed where your AI code already runs. Capture context, ground generations in prior interactions, and carry knowledge across sessions — from a direct SDK call, a CLI, an MCP server, a framework adapter, or a host plugin. Local-first where supported, hosted where convenient, and designed so the choice can change later without rewriting your application. Most memory products ask you to trust a hosted black box with the layer that decides what an AI believes about your users.

agent-infrastructure agent-memory ai-agents ai-memory cli context-engineering developer-tools llm local-first mcp

Quick Facts

Stars	436
Forks	36
Language	TypeScript
Category	MCP Server
Quality Score	36.75/100
Open Issues	4
Last Updated	2026-10-06
Created	2026-05-18
Platforms	cli, mcp, node
Est. Tokens	~172k

Compatible Skills

These tools work well together with atomicmemory for enhanced workflows:

hivemind — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
Duel-Agents — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
robrain — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
memX — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
agentos — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is atomicmemory?

atomicmemory is Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.. It is categorized as a MCP Server with 436 GitHub stars.

What programming language is atomicmemory written in?

atomicmemory is primarily written in TypeScript. It covers topics such as agent-infrastructure, agent-memory, ai-agents.

How do I install or use atomicmemory?

You can find installation instructions and usage details in the atomicmemory GitHub repository at github.com/atomicstrata/atomicmemory. The project has 436 stars and 36 forks, indicating an active community.

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