memside-09c892 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited memside-09c892 (Plugin) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
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Every scanned point with the score it earned and what moved between them.
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The primary manifest — the file an agent reads to learn what this artifact does.
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
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 approach | Continuity 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.
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.
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:
Select the path that matches the client or integration.
| Goal | Use | Start here |
|---|---|---|
| Connect ChatGPT, Grok, Claude, or another hosted client | OAuth MCP | Client guides |
| Connect IDEs and coding agents such as VS Code, Copilot, Cursor, Claude Code, Codex, Antigravity, opencode, or a local MCP client | Bearer-header MCP | VS Code guide |
| Call Memside from scripts or automation | API key | API keys |
For a direct API check, create a Memside API key and run:
curl https://api.memside.com/context/startup \
-H "Authorization: Bearer mem_sk_example_key"For a runnable JavaScript example:
cd examples/javascript
npm run startupSet MEMSIDE_API_KEY before running examples. See Developer quickstart for the full setup.
Memside publishes a lightweight JavaScript SDK for public API-key workflows:
npm install memsideBasic usage:
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.
Memside also publishes a lightweight Python SDK for public API-key workflows:
pip install memsideBasic usage:
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.
Use this hosted MCP server URL in clients that support remote MCP:
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:
Authorization: Bearer mem_sk_example_keyVS Code and GitHub Copilot can use a workspace .vscode/mcp.json file:
{
"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.
This repository includes server.json for the official MCP Registry. It describes Memside as a hosted remote MCP server using Streamable HTTP at:
https://api.memside.com/mcp/The registry entry is published under:
io.github.memside/memsideSee 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.
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.
Memside is designed around continuity, selective context retrieval, and user control. The core features are:
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.
This repo contains:
This repo does not contain:
For support, contact [email protected] 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.
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