Zenod Memory
dev.zenodPublished by zenod.devOfficial publisherv0.1.0Updated Nov 7, 2026
Memory you own: capture on WhatsApp, filed into your Markdown vault, recalled with citations.
Overview
A memory agent over MCP that stores what you tell it in your own GitHub Markdown vault and lets an assistant search, read and ask cited questions.
- What you can do
- Store memories and ingest media or artifacts asynchronously, then poll for a receipt with commit SHA and GitHub URL
- Search the vault by keyword and read a single note by path
- Ask fuzzy, cross-note questions through a read-only research loop that returns a synthesized answer with cited sources
- Check the status and result of queued store and ingest jobs
- When to use it
- Useful when you want an assistant to keep durable, citable personal memory that you own as plain Markdown in a git repo, rather than in a vendor's database. Suits people who already keep notes in GitHub and want recall with receipts.
- Requirements
- A remote MCP endpoint over streamable HTTP, or a self-hosted Docker instance. Self-hosting needs a GitHub repo you own plus a token that can push to it, an Anthropic or OpenAI LLM key, and a bearer token for the MCP endpoint (pinned via ZENOD_API_TOKEN or generated on first boot). The endpoint always requires an Authorization bearer token; the manifest declares OAuth.
Installation
In SourceWeft
- Open Zenod Memory in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/dev.zenod%2Fmemory/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"zenod-memory": {
"type": "http",
"url": "https://cloud.zenod.dev/mcp"
}
}
}README
Zenod — the memory unit
Zenod is a memory agent you talk to over plain MCP (streamable HTTP). You give it a GitHub repo to use as your memory vault; it stores what you tell it as immutable evidence + filed meaning with citations, and lets you search and read it back. Every write lands as a real git commit — Zenod hands you the commit SHA and GitHub URL as the receipt.
One box, one endpoint, one repo. Zenod is the only thing that holds your repo token. You never write the repo from anywhere else — attempts from another path fail loudly.
Quickstart — point a plain MCP client at a fresh Zenod
You need: Docker, a GitHub repo you own (empty is fine) + a token that can push to it, and an LLM key (Anthropic or OpenAI). No suite, no console — just this unit.
1. Run a fresh instance
From this folder (units/zenod/). Until the repo split fires, the image is the repo
root image with AGENT=zenod:
That is Option B: configure by hand — the three env vars above are all Zenod
needs. (In the full suite the keyring/Console mints the MCP token and pushes
VAULT_REPO + GITHUB_TOKEN + LLM key to /api/provision instead; a stranger
self-hosting doesn't need that path.)
Zenod is now serving MCP at http://localhost:8080/mcp. Check it is up:
2. Point any MCP client at it
The endpoint is vanilla MCP over streamable HTTP. Any MCP client works — e.g. Claude
Desktop / claude with a custom connector, or the reference
@modelcontextprotocol/inspector:
Your token. /mcp always requires a bearer token — there is no tokenless mode. You
control it two ways:
- Pin it (recommended): set
ZENOD_API_TOKENin the run command above to any long secret string. That IS your bearer token — use it directly. - Don't pin it: if
ZENOD_API_TOKENis unset, Zenod generates a token on first boot and prints it once to the container logs (docker logs <container> | grep 'MCP bearer'). Copy it from there.
Send it as Authorization: Bearer <token> on every MCP call. (Treat it like a password.
Note: GET /api/token is itself auth-gated — you need the token to call it — so use one
of the two paths above to learn it in the first place.)
Run tools/list. You should see store_memory, ingest_memory, search_memory,
get_memory, ask_brain, and get_task_result (full surface in
SEAM-SURFACE.md).
Codex Desktop bearer-token setup
Codex Desktop's MCP server settings have two separate concepts:
- URL: paste the Zenod MCP URL, for example
https://<host>/mcp. - Bearer token env var: enter the environment variable name, for example
ZENOD_MCP_TOKEN.
Do not paste the token itself into the Bearer token env var field. Codex reads that
field as the name of an environment variable, then reads the actual bearer token from
the Codex process environment.
For Codex CLI, this works when codex is launched from the same shell:
A normal shell export is temporary: it lasts only for that shell session and child
processes. It does not survive a machine restart, and it does not affect an already
running macOS GUI app launched from Finder, Dock, or Spotlight. For Codex Desktop,
set the variable in the environment before starting Codex Desktop, or use a literal
Authorization: Bearer <token> header in the MCP server settings.
3. Store / search / get
Store (mutating, async — returns a jobId, then poll):
Open the githubUrls link — the memory is a committed file in your repo.
Ingest media/artifacts (mutating, async — returns a jobId, then poll):
Search (read, fast, no LLM):
Get (read one note by path from a search hit):
For fuzzy or cross-note questions ("what do I know about X?"), call ask_brain
instead of search_memory — it runs a read-only research loop and returns a
synthesized answer with cited sources.
What you can rely on (the contract)
- The endpoint is standard MCP — nothing custom on the wire.
tools/list+tools/callis all a caller needs to know. See ../../docs/SEAM-SPEC.md. - Every write returns a receipt.
store_memorygives you acommitSha+ GitHub URL (viaget_task_result).ingest_memorygives an async media receipt with raw artifact, extraction/transcript archive, digest, commit, and archive fields. A read returns data or an explicit "none". No silent acks; failures error loudly with{ code, message }. - Only Zenod holds your repo token. It is supplied to this one box (env or
/api/provision) and read in exactly one place internally. Nothing else in the suite can write your repo. Any write attempt down another path fails loudly. - Your memory is just a git repo. Clone it, read it, leave — no lock-in.
Files in this unit
Status honesty: this folder is the seam of record for Zenod-as-a-unit. The physical extraction from the fused Console is STAGED behind the RD-4 split trigger and has not fired — see
EXTRACTION-MAP.md. The running behavior above is real today (image withAGENT=zenod); the standalone folder is blueprint.
Source: units/zenod/README.md at commit 0d25720
Tools
0Version history
1- v0.1.0LatestNov 7, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts