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AI continuity and memory hub for ChatGPT, Claude, MCP clients, and cross-AI context

1 stars PythonOthers Updated Aug 25, 2026
ai-memorychatgptclaudemcpmemoryproductivityai-continuitycross-aimcp-server

Documentation

Memside

Memside is an AI continuity and memory hub for work across ChatGPT, Claude, Grok, IDEs, coding agents, and other AI tools that support OAuth, MCP, or API-key connections. It provides a private place for reusable context, decisions, Operating Rules, project notes, checkpoints, and Library Templates that can move between compatible AI tools.

Memside keeps AI context available beyond one chat window. A connected AI tool can retrieve relevant memories, continue a project from a checkpoint, follow saved working preferences, create approved durable context, and work with permission-controlled Library Templates. This repository is the public home for Memside integration documentation, examples, SDKs, and support information. It is not a mirror of the private production application source.

Product site: https://www.memside.com

Documentation: https://docs.memside.com

Continuity With Less Repeated Prompting

Memside is built to give AI assistants the right context at the right time:

current task state, saved preferences, project notes, checkpoints, and reusable

rules. In internal testing and early pilot usage, this helped AI tools stay on

track without requiring users to rebuild the same detailed prompt in every new

chat or IDE session.

High-level test results:

Context approachContinuity score
No Context~45%
Long Context Dump~84-85%
Memside Context~96-99%
Very Detailed Manual Prompt~97-99%

Token savings: in separate context-reuse tests, Memside reduced repeated

full-context transfer by 83-91% on representative light, medium, and heavy

project datasets.

A very detailed manual prompt means a long prompt where the user includes every

important detail by hand: project state, preferences, decisions, references, and

next steps. With Memside, the workflow is simpler: ask the AI to save the

checkpoint, references, and useful context, then move to a new chat and ask it

to continue from that checkpoint using Memside.

Results are based on internal tests and early pilot usage patterns. Performance

varies by model, provider, prompt style, and workflow. See

Continuity and context results for details.

Connect Memside

Memside supports hosted MCP access for AI tools that can connect to remote MCP servers. MCP gives compatible AI clients a standard way to use Memside as a continuity layer instead of locking memory into one assistant.

text
https://api.memside.com/mcp/

For AI tools that support OAuth for MCP, setup continues through Memside sign-in. AI tools that support API-key authentication can use a Memside API key as a bearer token.

Start here:

Developer Quickstart

Select the path that matches the client or integration.

GoalUseStart here
Connect ChatGPT, Grok, Claude, or another hosted clientOAuth MCPClient guides
Connect IDEs and coding agents such as VS Code, Copilot, Cursor, Claude Code, Codex, Antigravity, opencode, or a local MCP clientBearer-header MCPVS Code guide
Call Memside from scripts or automationAPI keyAPI keys

For a direct API check, create a Memside API key and run:

bash
curl https://api.memside.com/context/startup \
  -H "Authorization: Bearer mem_sk_example_key"

For a runnable JavaScript example:

bash
cd examples/javascript
npm run startup

Set `MEMSIDE_API_KEY` before running examples. See Developer quickstart for the full setup.

JavaScript SDK

Memside publishes a lightweight JavaScript SDK for public API-key workflows:

bash
npm install memside

Basic usage:

js
import { MemsideClient } from "memside";

const memside = new MemsideClient({
  apiKey: process.env.MEMSIDE_API_KEY
});

const startup = await memside.context.startup();
console.log(startup);

The JavaScript SDK wraps public Memside API routes for startup context, resume

context, workspace profile, Memory operations, Subject organization, and

Library Template workflows. See

packages/memside for package details.

Python SDK

Memside also publishes a lightweight Python SDK for public API-key workflows:

bash
pip install memside

Basic usage:

python
from memside import MemsideClient

client = MemsideClient(api_key="mem_sk_example_key")

startup = client.context_startup()
print(startup)

The Python SDK wraps the same public Memside API areas as the JavaScript SDK. See packages/python for package details.

MCP Server Setup

Use this hosted MCP server URL in clients that support remote MCP:

text
https://api.memside.com/mcp/

For ChatGPT, Grok, Claude, and other clients that offer OAuth during MCP setup, choose OAuth and complete Memside sign-in.

For clients that use bearer headers, create a Memside API key and pass it as:

text
Authorization: Bearer mem_sk_example_key

VS Code and GitHub Copilot can use a workspace `.vscode/mcp.json` file:

json
{
  "servers": {
    "memside": {
      "type": "http",
      "url": "https://api.memside.com/mcp/",
      "headers": {
        "Authorization": "Bearer mem_sk_example_key"
      }
    }
  }
}

Keep real API keys out of shared files. Use local user-level configuration or secret storage when the config is shared with a team.

Detailed setup guides are available for VS Code, GitHub Copilot, ChatGPT, Grok, Claude Code, Cursor, Codex, Antigravity, and opencode.

MCP Registry

This repository includes `server.json` for the official MCP Registry. It describes Memside as a hosted remote MCP server using Streamable HTTP at:

text
https://api.memside.com/mcp/

The registry entry is published under:

text
io.github.memside/memside

See MCP Registry metadata for registry and endpoint checks.

This repository also includes lightweight third-party directory metadata for Glama, Open Plugins, and Cursor plugin discovery. These files point to the same hosted MCP server URL and do not contain credentials.

Supported Workflows

With Memside connected, an AI tool can search saved memories, fetch specific context, create approved memories, update checkpoints, and build compact startup or resume packets. The goal is to keep useful context portable without turning every AI conversation into a long manual setup step.

This supports project movement between ChatGPT, Claude, Grok, IDEs, coding agents, and other compatible AI clients. The next AI can retrieve the project purpose, prior decisions, applicable rules, and current next step.

Memside Library adds reusable Templates for profiles, Operating Rules, AI

Skills, memories, references, examples, and repeatable workflows. Public

catalog discovery is read-only. Permission-controlled creator operations can

search Templates, read owned drafts, replace drafts safely, and manage reviewed

publication workflows. See Memside Library and Templates.

Memside keeps the normal product boundary intact. Private user data is scoped to the signed-in user, secret memories are excluded from AI-facing MCP and API-key flows, and destructive actions require stronger confirmation.

Key Features

Memside is designed around continuity, selective context retrieval, and user control. The core features are:

API Examples

The examples in this repo use public Memside API surfaces only.

The JavaScript and Python examples use normal HTTP requests against public Memside API surfaces.

The machine-readable OpenAPI document contains only the

approved API-key contract. It excludes signed-in application, account,

administration, billing, and infrastructure operations.

Public Repo Scope

This repo contains:

  • setup guides for MCP clients
  • MCP Registry metadata
  • third-party MCP directory metadata
  • Cursor plugin metadata
  • technical product capability docs
  • API-key usage examples
  • developer quickstart and runnable examples
  • public troubleshooting notes
  • security and support information
  • public changelog entries
  • public Library and Template integration guidance

This repo does not contain:

  • private Memside application source
  • secrets or deployment configuration
  • database or internal operations notes
  • non-public product architecture

Support

For support, contact support@memside.com or use the support links in the Memside app.

Security reports should follow SECURITY.md.

Copyright (c) 2026 Memside. All rights reserved.

This repository is public documentation, not open-source application code. See LICENSE.md for the repository terms.

Memside and related names, product concepts, documentation, and branding remain the property of their respective owners.

Frequently asked questions

What is memside?

memside is AI continuity and memory hub for ChatGPT, Claude, MCP clients, and cross-AI context

How do I install memside?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is memside open source?

Yes — it is hosted on GitHub at https://github.com/memside/memside and has 1 stars.

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