AI Cloud Memory
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AI Cloud Memorywhat tasks are on my roadmap?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Cloud Memory Community Edition
Your own shared memory, project board and long-term roadmap for AI clients, running in your Cloudflare account and owned through your GitHub identity.

AI Cloud Memory gives Codex, Claude Code, OpenCode and compatible web clients one authenticated MCP endpoint for durable memory and project lifecycle work. D1 is canonical. Search works in lexical and temporal mode by default, while Vectorize and Workers AI can be enabled later for semantic retrieval and reranking.
No n8n, home server, vendor account or service operated by this project is required. Each adopter deploys an isolated copy to their own Cloudflare and GitHub accounts.
What you get
Owner-only GitHub OAuth and scoped MCP OAuth
Memories and standing directives with provenance, labels, archive, supersession and review
Projects, Kanban tasks, completion receipts, archived work and Done history
Longer-term project roadmaps with safe promotion into tasks
Temporal query handling, bounded ranking boosts and semantic deduplication
Explainable search results and a private relevance benchmark
Managed Obsidian Markdown projection and portable encrypted exports
Responsive dashboard designed for desktop and mobile Safari
24 narrowly scoped
cloudmemory_*MCP toolsOptional connectors and automation credentials, without making an automation platform a dependency
Architecture
Codex · Claude · OpenCode · compatible web clients
│
OAuth-protected MCP
│
Cloudflare Worker + dashboard
┌────────┼────────┐
│ │ │
D1 KV Static assets
canonical OAuth UI
│
optional derived services
Vectorize · Workers AI
│
optional encrypted export
your GitHub repoThe Worker, database, OAuth state and optional AI index belong to the adopter. The public project has no central memory service and no access to deployed instances. See Architecture and Privacy.
Deploy
1. Create your copy
Use the Deploy to Cloudflare button above. Cloudflare can create a GitHub copy and provision supported Worker bindings from wrangler.jsonc.
If automatic Vectorize provisioning is unavailable in your account, create the optional index before enabling semantic search:
npx wrangler vectorize create ai-cloud-memory --dimensions=768 --metric=cosineKeep SEMANTIC_SEARCH_ENABLED=false until that index exists. The base product does not call Workers AI or Vectorize in this mode.
2. Choose the final URL
Use the generated workers.dev origin or attach your final custom domain. Record the exact HTTPS origin without a trailing slash, for example:
https://ai-cloud-memory.your-subdomain.workers.devSet PUBLIC_ORIGIN to that origin. auto is useful only during initial deployment. Setting the final origin before creating GitHub OAuth avoids a second OAuth callback migration.
3. Create a GitHub OAuth App
In GitHub, open Settings → Developer settings → OAuth Apps → New OAuth App.
Field | Value |
Application name | AI Cloud Memory |
Homepage URL |
|
Authorisation callback URL |
|
Record the client ID and generate a client secret. Never commit the secret.
4. Configure the owner lock
Set these non-secret Worker variables in wrangler.jsonc or the Cloudflare dashboard:
ALLOWED_GITHUB_USER_ID=your numeric GitHub user ID
ALLOWED_GITHUB_LOGIN=your GitHub login
PUBLIC_ORIGIN=https://your-final-origin.example
SEMANTIC_SEARCH_ENABLED=falseThe numeric user ID is the immutable security boundary; the login is display metadata. Set the secrets from a trusted terminal:
npx wrangler secret put GITHUB_CLIENT_ID
npx wrangler secret put GITHUB_CLIENT_SECRET
openssl rand -hex 32 | npx wrangler secret put COOKIE_ENCRYPTION_KEY5. Migrate and deploy
npm ci
npm run check
npm run deployThe deploy command intentionally publishes twice on a fresh account: the first pass lets Cloudflare auto-provision declared resources, migrations then initialise D1, and the final pass becomes the verified application release. The placeholder owner lock keeps the bootstrap deployment inaccessible until you replace it.
Then open /setup.html on your deployed origin for the local, browser-only checklist. Full instructions are in Deployment and Onboarding.
Connect an AI client
Your remote MCP endpoint is:
https://your-final-origin.example/mcpCommon native clients:
# Codex
codex mcp add cloud-memory --url https://your-final-origin.example/mcp
# Claude Code
claude mcp add --transport http cloud-memory https://your-final-origin.example/mcpOpenCode can use a remote MCP entry in opencode.json:
{
"mcp": {
"cloud-memory": {
"type": "remote",
"url": "https://your-final-origin.example/mcp",
"enabled": true
}
}
}Complete OAuth separately in every client. Verify cloudmemory_health, cloudmemory_board, a harmless search and one explicitly approved write. Web-client capabilities and plan restrictions vary. See Client setup.
Required and optional services
Capability | Default | Service |
Worker, dashboard and MCP | Required | Cloudflare Workers |
Canonical data | Required | Cloudflare D1 |
OAuth state | Required | Cloudflare KV |
Owner identity | Required | GitHub OAuth |
Semantic search and reranking | Off | Vectorize + Workers AI |
Encrypted repository backups | Off | Your GitHub repository |
Obsidian delivery | Off | Any compatible WebDAV automation |
n8n | Never required | Optional third-party automation |
Cloudflare’s limits and pricing can change. Check the current Workers pricing, D1 pricing, Vectorize pricing and Workers AI pricing before enabling optional services. This project does not enable paid usage or billing on your behalf.
Semantic search
The safe default is lexical-only:
SEMANTIC_SEARCH_ENABLED=falseNew memories remain canonical in D1 with a pending vector state. When you set the variable to true, deploy, then choose Repair index in Settings, Cloud Memory backfills vectors in bounded batches. The configured BGE model uses a 768-dimensional cosine index. See Semantic search.
Backups and recovery
The dashboard can create an encrypted download without a GitHub token. Optional GitHub delivery needs:
EXPORT_ENCRYPTION_KEY, retained somewhere safe outside the repositoryGITHUB_EXPORT_TOKEN, a fine-grained token scoped to Contents access on one backup repositoryGITHUB_EXPORT_REPOSITORY, inowner/repositoryform
Losing the encryption key makes existing encrypted exports unrecoverable. D1 remains canonical; Obsidian and GitHub outputs are projections and recovery artefacts, not concurrent writers.
Local development
Requires Node.js 22.12 or newer.
npm ci
npm run dev
npm run checkThe complete check runs repository safety validation, deployment-template validation, lint, type checking, unit tests, Worker/D1 tests and a production build.
Project governance
Codex Cloud automated review is not part of AI Cloud Memory. Maintainers may connect this GitHub repository to a Codex Cloud environment as external repository administration; no review agent, token or feature is shipped in the product.
Licence
MIT. Cloudflare, GitHub, Claude, ChatGPT, Codex, OpenCode, Obsidian and n8n are trademarks of their respective owners and are not affiliated with this project.
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