{"repo":"atomicstrata/atomicmemory","free":true,"listed":false,"github":"https://github.com/atomicstrata/atomicmemory","clone":"git clone https://github.com/atomicstrata/atomicmemory.git","description":"Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.","language":"TypeScript","stars":424,"topics":["agent-infrastructure","agent-memory","ai-agents","ai-memory","cli","context-engineering","developer-tools","llm","local-first","mcp"],"license":null,"category":"ai-agents","readme_excerpt":"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. AtomicMemory takes the opposite position: the interface should be portable, the engine should be inspectable, and the memory system should be able to revise itself when facts change. This repository is the public source of truth for the AtomicMemory JavaScript / TypeScript packages, framework adapters, host plugins, and public smoke tests. Docs: docs.atomicstrata.ai Field note: The AI Memory Industry Has A Black Box Problem 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. Benchmark AtomicMemory v66 Position Cost/Q Sample --- ---: --- ---: ---: BEAM-100K lenient 0.7375 Parity with Hindsight at 0.75 $1.26 n=80 BEAM-1M lenient 0.6625 Leading Performance/Co","default_branch":null,"files":null,"tree":[],"storefront":"/r/atomicstrata","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/atomicstrata/atomicmemory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}