Cloudflare Memory MCP
Provides a per-project memory layer with plain notes, semantic vector recall, and a knowledge graph, all hosted on Cloudflare's free tier. It includes a web dashboard for browsing projects and deleting them.
README
Cloudflare Memory MCP
A per-project memory MCP server for opencode, hosted entirely on Cloudflare's free tier:
- Notes — plain keyed memories with tags and types
- Vector — semantic recall via Vectorize (embeddings from Workers AI
@cf/baai/bge-m3, 1024-dim, multilingual) - Graph — entities + relations in D1 (SQLite) with recursive traversal
- Web dashboard — open
/in a browser to see every project with memories. Each project card opens a detail view with an interactive force-directed graph of its entities and relations (wheel = zoom, drag = pan, double-click or buttons = reset, hover = highlight neighbors) and a Delete project button that removes the project, its notes, graph, FTS rows, caches, and vector embeddings
opencode ── MCP (streamable HTTP + Bearer auth) ──> Worker
├─ Vectorize memory-vectors (namespace per project)
├─ D1 projects / notes / nodes / edges / FTS5
├─ Workers AI bge-m3 embeddings
└─ KV recent-memories cache
Screenshots
Project List
The dashboard lists every project known to the account, including memory, entity, relation, and last-active counts.
<p align="center"> <img src="docs/screenshots/project-list.png" alt="Cloudflare Memory MCP project list" width="100%" /> </p>
Knowledge Graph
Open a project to inspect its memories and graph. The graph supports curved, directional edges, hover highlighting, wheel zoom, drag panning, and reset controls.
<p align="center"> <img src="docs/screenshots/knowledge-graph.png" alt="Cloudflare Memory MCP knowledge graph" width="100%" /> </p>
How folder isolation works
The server runs its MCP sessions inside a Durable Object (free tier, SQLite backend), which pins every message for a session to one isolate. Project identity is resolved in this order:
project_roottool argument (recommended) — you pass your working folder to any tool, e.g.remember({ project_root: "D:/Projects/foo", content: ... }). The server hashes a normalized form of the path into a stable project id and remembers it for the rest of the session, so later calls can omit it. Theidentify_projecttool exists for explicitly locking it in.project_idtool argument — an explicit id (also cached for the session).x-project-root/x-project-idheaders — for clients that configure them.- MCP roots — automatic folder detection when the client supports it.
Because the identity is just a hash of the normalized path, the same folder opened
from a different absolute path still resolves to the same project. Every read and
write is scoped to that id — Vectorize queries use a namespace-per-project and
every D1 query filters on project_id, so two folders can never see each other's
memory.
Using it from opencode
opencode knows its working directory (your bash cwd). The agent should pass it
once per session. This repo ships a ready-to-copy template at AGENTS.md —
copy it into any project you want memory in, set PROJECT_ROOT to that project's
directory, and the agent will handle identity automatically:
When using the memory MCP tools, pass project_root (your bash cwd) on the first
memory call of the session.
Setup
Prereqs: Node 18+, a Cloudflare account, and npx wrangler login done once.
npm install
npm run setup # creates D1 db, KV namespace, Vectorize index; patches wrangler.toml
npm run db:migrate:remote
npx wrangler secret put MEMORY_AUTH_TOKEN # optional but strongly recommended
npm run deploy
Your endpoints:
- MCP:
https://cloudflare-memory-mcp.<your-subdomain>.workers.dev/mcp - Dashboard:
https://cloudflare-memory-mcp.<your-subdomain>.workers.dev/
Local development:
npm run dev # wrangler dev --local (AI + Vectorize are remote-only)
npm run db:migrate:local
Wiring into opencode
One entry — the same config works in every project. No per-project values needed:
// ~/.config/opencode/opencode.jsonc
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"memory": {
"type": "remote",
"url": "https://cloudflare-memory-mcp.<your-subdomain>.workers.dev/mcp",
"oauth": false,
"headers": {
"Authorization": "Bearer {env:MEMORY_AUTH_TOKEN}"
}
}
}
}
Project identity is then driven by the agent itself: it passes its working folder
as project_root on the first memory call of each session (see the AGENTS.md tip
above), and the server scopes everything to that folder from then on.
The dashboard (/) prompts for the same MEMORY_AUTH_TOKEN once and stores it in
localStorage. If you leave MEMORY_AUTH_TOKEN unset, everything is public — only
do that for personal/throwaway experiments.
MCP tools
| Tool | Purpose |
|---|---|
identify_project |
Lock the project identity for the session from a project_root / project_id (returns the resolved id) |
remember |
Save a note (embeds it for semantic recall); optionally upserts entities + relations into the graph |
query_memory |
Semantic/vector search — recall by meaning. Note: Vectorize mutations are async, so a note is queryable semantically a few seconds after remember; use search_memory for instant recall |
search_memory |
Exact keyword search (D1 FTS5) |
get_recent_memories |
Latest notes for the project |
get_project_context |
Bundle stats + recent memories + top entities + recent relations (call explicitly) |
add_entity / add_relation |
Build the knowledge graph deliberately |
query_graph |
Neighbors of an entity (depth 1–3) or most-connected entities |
forget |
Delete a note + its embedding |
All tools accept an optional project_root (folder path or file:// URI) and
project_id; once either is supplied in a session it is remembered.
Free-tier budget
| Resource | Free allowance | Notes |
|---|---|---|
| Durable Object | 100k requests/day, ~28h/day active compute | Hosts MCP sessions; ~1 request per MCP message |
| Vectorize | 5M stored dims account-wide | ~4,800 embedded notes @1024-dim; prune with forget. Queries ~29k/mo |
| Workers AI | 10k neurons/day | bge-m3 embedding of a 1k-token note ≈ 1 neuron → thousands/day |
| D1 | 5 GB / 500 MB per DB | notes + graph + FTS are effectively unlimited for personal use |
| KV / Worker | 1 GB / 100k req/day | caches + serving; a few requests per opencode session |
Design levers if you ever approach the vector ceiling: embed only durable memories
(remember with type: "decision" | "fact") and let search_memory (FTS5, uncapped)
hold the long tail; or recreate the index with bge-small (384-dim, English-only)
for ~3× capacity.
Project layout
src/index.ts fetch router: dashboard, /api/*, /mcp -> Durable Object
src/session-do.ts MCP session host (Durable Object): sessions, SSE, roots, identity
src/tools.ts the 10 tool definitions (zod schemas + implementations)
src/store.ts D1 / Vectorize / KV data layer
src/identity.ts project-id derivation from folder roots
src/embed.ts Workers AI bge-m3 embeddings
src/api.ts dashboard API (projects, detail, graph, delete)
src/web.ts dashboard page (token-gated)
migrations/ D1 schema
scripts/setup.mjs creates Cloudflare resources and patches wrangler.toml
AGENTS.md template to copy into projects that use this memory server
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