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EverMind AI
EverMind AI builds memory infrastructure for AI agents. Our core product, EverOS, is a Memory Operating System that transforms stateless LLMs into intelligent agents that remember, learn from experience, and evolve across sessions and platforms.
For agents: Builds EverOS, a memory operating system giving AI agents persistent memory across sessions and platforms. Only a summary was provided; no docs listed.
agent memoryllm memorymemory operating systemeverosstateful agents
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T19:25:31.636Z. Cached copy · Source on evermind.ai
# EverMind AI
> EverMind AI builds memory infrastructure for AI agents. Our core product, EverOS, is a Memory Operating System that transforms stateless LLMs into intelligent agents that remember, learn from experience, and evolve across sessions and platforms.
"Memory is the defining line between a tool and an agent."
Website: https://evermind.ai
Docs: https://docs.evermind.ai
Dashboard: https://everos.evermind.ai
GitHub: https://github.com/EverMind-AI/EverOS
Contact: contact@evermind.ai
Discord: https://discord.gg/gYep5nQRZJ
X: https://x.com/evermind
LinkedIn: https://www.linkedin.com/company/ai-evermind
## Products
### EverOS — Memory OS for AI Agents
The flagship product. Gives any LLM agent persistent, structured memory with automatic extraction, conflict resolution, and intelligent retrieval.
Key capabilities:
- **Structured memory extraction** — Automatically segments conversations into MemCells (episode + atomic facts + foresight + metadata) and clusters them into thematic MemScenes
- **Multimodal RAG (mRAG)** — Extracts memory from text, images, PDFs, audio, video, spreadsheets, and URLs
- **Self-evolving agent memory** — Records agent trajectories as Cases and distills patterns into reusable Skills
- **Multi-user attribution** — Tracks distinct profiles per participant in group conversations
- **Multi-agent shared memory** — Any agent authorized with the same user_id or group_id reads from and writes to the same memory namespace, with no explicit handoff required
- **Model-agnostic** — Memory is independent of any specific LLM; the same memory base is accessible regardless of which model the agent uses
- **Four retrieval methods** — Keyword (BM25), vector, hybrid (recommended default), and agentic (LLM-guided)
- **Memory Bank** — Visual interface for managing user, group, and agent memory
Deployment options:
- **EverOS Cloud** — Fully managed, production-ready. Start at https://everos.evermind.ai
- **EverOS Open Source** — Apache 2.0 licensed, self-host on your infrastructure. GitHub: https://github.com/EverMind-AI/EverOS
For integration details, API reference, and SDK quickstart:
- llms.txt (EverOS): https://docs.evermind.ai/llms.txt
- Full reference: https://docs.evermind.ai/llms-full.txt
- Docs: https://docs.evermind.ai
### EverMe — Personal Memory Hub
"Your Personal Memory Nebula." A consumer product exploring personal memory management for individuals. Currently in development.
## Technology Foundation
**EverCore** is the underlying research and systems layer powering EverOS. It includes:
- **EverMemOS** — Engram-inspired memory mechanism using MemCells and MemScenes. Implements a biological memory lifecycle: Episodic Trace Formation, Semantic Consolidation, and Reconstructive Recollection. Paper: https://arxiv.org/abs/2601.02163
- **HyperMem** — Hypergraph memory architecture for complex relational memory. Paper: https://arxiv.org/pdf/2604.08256
- **MSA (Memory Sparse Attention)** — End-to-end trainable architecture
…
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