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Memside

Memside is an AI continuity and memory hub. It provides an AI memory layer that keeps selected context reusable across AI apps, coding tools, agents, devices, and work sessions.

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llms.txt
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llms-full.txt
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2025-10-01
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T14:57:02.979Z. Cached copy · Source on memside.com

# Memside

> Memside is an AI continuity and memory hub. It provides an AI memory layer that keeps selected context reusable across AI apps, coding tools, agents, devices, and work sessions.

Last updated: 2026-08-24
Website: https://www.memside.com/
Support: support@memside.com
Public GitHub: https://github.com/memside/memside

## Core Product

Memside helps people and teams keep the context that should survive beyond one AI chat. Memories, rules, decisions, tasks, checkpoints, and related facts stay organized so future sessions and connected agents can continue with less repeated setup.

## Features

- Connected context for related memories, people, projects, topics, and facts
- Subjects and Facts for a powerful, ready-to-use graph-level memory layer without graph infrastructure or schema design
- Context Map and Memory Insights for reviewing relationships and information that may need attention
- Reusable context for rules, preferences, decisions, checkpoints, and project memories
- Focused startup and resume context for continuing work across AI tools and devices
- Task state and handoff context for agents and subagents
- PMX-shaped memory structure for portable context and cross-tool interoperability
- MCP and direct API access for compatible developer and agent workflows
- Human-controlled sensitivity, provenance, update, and delete flows
- Privacy-conscious defaults for authenticated application data

## Use Cases

- AI continuity: Start a new AI session with saved context instead of repeating long background prompts.
- Project checkpoints: Save progress, next steps, decisions, and references so work can resume cleanly later.
- Operating rules: Preserve standing instructions that should apply across chats, tools, and providers.
- Cross-AI portability: Keep reusable context outside a single model provider or chat application.
- Connected work: Keep related memories and facts organized around people, projects, and topics.
- Agent handoffs: Preserve goals, progress, blockers, dependencies, and next steps for another session or agent.
- Developer workflows: Connect memory through MCP, API, and SDK surfaces for compatible applications and agents.

## Important Pages

- [Homepage](https://www.memside.com/): Product overview and primary positioning.
- [Blog](https://www.memside.com/blog): Articles about AI continuity, memory systems, privacy, and context portability.
- [Changelog](https://www.memside.com/changelog): Recent user-facing Memside product updates.
- [Documentation](https://docs.memside.com/): Product setup, usage guidance, MCP connections, API access, SDKs, privacy, and troubleshooting.
- [Public GitHub repo](https://github.com/memside/memside): Public MCP setup docs, SDK packages, examples, support/security notes, and MCP Registry metadata.
- [Memside Library](https://library.memside.com/): Discover and read reusable AI Templates.
- [Library AI-readable guide](https://library.memside.com/llms.txt): Public Template discovery, reading,
…

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