Memory
Memory library for building stateful agents
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Now that you have had your first successful EverOS moment, explore what people are building with persistent memory across agents, apps, and community integrations.
Use cases show what persistent memory makes possible in real products and workflows. Some examples are packaged in this repository; others point to external demos or integrations you can study and adapt.
Sports agents for smart glasses, covering running, cycling, and indoor rowing. AISmartRun includes an optional memory-backend contract for post-run summaries; connecting it to EverOS requires a separately configured backend.
Parents describe what they remember. Children describe what they recall. Reunite uses semantic memory to surface the connections.
EverOS is a DeepSeek Harness ecosystem resource maintained by EverMind-AI. One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Source code and usage instructions are available at https://github.com/EverMind-AI/EverOS. Follow the repository README for the correct setup steps.
EverOS is a community open-source project released under the Apache-2.0 license. Review the repository license and documentation before use.
Memory
Memory library for building stateful agents
Memory
A personal AI agent with memory, personality, and autonomy.
Memory
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