by atomicstrata · MCP Server · ★ 160
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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 interf
| Stars | 160 |
| Forks | 23 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 48.248/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-16 |
| Created | 2026-05-18 |
| Platforms | cli, docker, mcp, node |
| Est. Tokens | ~18k |
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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 160 GitHub stars.
atomicmemory is primarily written in TypeScript. It covers topics such as agent-infrastructure, agent-memory, ai-agents.
You can find installation instructions and usage details in the atomicmemory GitHub repository at github.com/atomicstrata/atomicmemory. The project has 160 stars and 23 forks, indicating an active community.
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