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margince/margince

A CRM your AI agents can actually work in

Before you install: no copy-paste command · license NOASSERTION · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/margince/margince

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Official descriptionA CRM your AI agents can actually work in. Source-available: it's yours, you get the source.
Star count
25 ★ · margince/margince · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-10-26 · last seen 2026-11-14 · seen 23× · listed by 2 sources
Score
score 203 · 25 ★ · 2 sources · repo
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository margince/margince;first catalogued 2026-10-26;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# Margince

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Margince is a CRM that fills its own records from mail, meetings and calendars. AI agents work in it under
the same rules as its users.
It fills itself. Mail and meetings from the accounts you connect become contacts, companies and deals.
Every AI change shows its source. You can open a forecast number and read the deals behind it.
Agents use the same engine as users. An agent connects over MCP or REST. It never has more rights
than the user who gave it access.
You change it in code. There are no setup screens. A custom field or a workflow is a normal code
change in your own copy.
It runs where you choose. Your own servers with Docker, a private cloud, or one folder on a laptop.
The product site is margince.com. This repository holds the source code.
Margince is source-available, not open source. LICENSING.md explains what you may do with it.
## Use it
The handbook explains the app for the teams who use it. It has no code.
To run your own copy, start with docs/how-to/deploy-margince.md.
## Run it on your machine
You need Go 1.27 or later, Docker with Compose, jq, golangci-lint, Node 24 and pnpm.
1. Install the tools and the git hooks once: make install.
2. Start the stack: make dev. It starts Postgres, Redis, the API and the web app, then returns.
3. Add demo data: make seed-dev.
4. Open http://localhost:8080 and sign in as admin@demo.test with demo-password-123.
5. Check that it all works: make verify-boot.
Stop it with make dev-stop. Without step 3 the app starts empty, the way a new customer sees it. The
first admin password is then in config/margince-admin-password, and the app asks you to change it.
Each git worktree gets its own database and ports, so two copies can run at the same time.
docs/reference/make-targets.md lists every command. To change a
setting, read docs/how-to/change-a-setting.md.
## Work on the code
CONTRIBUTING.md: how to send a change.
AGENTS.md: the rules every change must follow, for humans and coding agents.
docs/explanation/backend-onboarding.md: a map of the backend
and the order to read it in.
docs/README.md: all the documentation.
make check is the test that every pull request must pass. Run it before you push.
The core is a Go module in backend/ and a React app in frontend/. The API contract is
backend/api/crm.yaml. The server code and the web app's types are built from it, so the two cannot
disagree.
## How agents are kept safe
An agent works with a passport that a user gives it. Every call checks that user's seat and rights,
so if you remove the user at 09:00, the agent stops at 09:00.
An agent cannot approve its own work. Approvals, consent, data requests and pipeline settings are
closed to agents.
Every action goes into a log that the app can add to but not change.
Each passport has a daily limit on how much it can send.
Most actions run at once. A smaller set waits for a user to approve it.
docs/reference/agent-tools.md lists which is which.
## Where your data goes
Each AI task can use a model on your own machines (Ollama or vLLM) or a cloud provider. A task that uses
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Source
github · https://github.com/margince/margince
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