为代理和人工智能应用提供可检查、可校正的内存。

AtomicMemory 为代理提供了跨会话的持久上下文，而无需耦合 应用到一个模型、框架或部署。从托管托管开始 云端，本地运行开源核心，或通过TypeScript SDK集成 以及MCP服务器。

文献资料· 托管云 · 开源快速入门 · 为什么可检查记忆很重要

头条赛果

AtomicMemory v66在BEAM-100K、BEAM-1M和LoCoMo10的性能和成本方面领先，低于以下 与已发表的竞争者进行匹配的方法论。在BEAM-10M上，它与 最强的已发表Mem0-新结果，同时保持事后诸葛度的时间 作为已知的开放前沿，回收。

AtomicMemory

Inspectable, correction-aware memory for agents and AI applications.

AtomicMemory gives agents durable context across sessions without coupling your application to one model, framework, or deployment. Start with managed Hosted Cloud, run the open-source Core locally, or integrate through the TypeScript SDK and MCP server.

Documentation · Hosted Cloud · Open-source quickstart · Why inspectable memory matters

Headline Results

AtomicMemory v66 is leading performance/cost on BEAM-100K, BEAM-1M, and LoCoMo10 under matched methodology against published competitors. On BEAM-10M it matches the strongest published Mem0-new result while leaving Hindsight-scale temporal retrieval as the known open frontier.

These results put AtomicMemory at or near the published ceiling in each reported category while preserving the lower-cost operating profile that matters for real applications. Reproducibility artifacts and harness details will be published with the benchmark materials.

Quickstart

Install the am CLI and initialize Hosted Cloud in one guided command:

curl --proto '=https' --tlsv1.2 -fsSL https://get.atomicstrata.ai/install.sh | sh -s -- --init

Plain am init defaults to managed Cloud, selects your project, and saves its project-bound credential. Managed server keys use a per-installation name such as am-cli-a1b2c3d4e5f6, so another machine’s credential is not rotated. No Docker or OpenAI key is required. Non-interactive Cloud automation uses am init --yes --project ;