Agent Standup

A task tracker for AI coding agents. Replaces folders-of-markdown plus a 1,000-line PowerShell script with a real app: a database, a rules engine every change goes through, an MCP so agents can talk to it, a CLI for the parts MCP can't do, and a web front end.

The shift: today the rules live in hooks that ask agents to behave. Here they live in the backend and are enforced — the server refuses the change.

Docs

Everything is in docs/plans/:

Related MCP server: projscan

Stack

Next.js (front end and API in one bundle) · Prisma · Postgres. The image is built in CI, pushed to GHCR, and pulled wherever it runs — never built on the deploy host, no bind mounts.

Local development

Requires Node 24 and Docker (for local Postgres).

cp .env.example .env          # fill in DATABASE_URL etc.
npm install
npm run db:up                 # starts local Postgres on a non-default port
npx prisma migrate deploy     # apply the committed migrations
npx prisma generate
npm run dev                   # http://localhost:3000

Useful scripts:

The initial baseline migration (the whole schema in one shot — see SCHEMA.md) lives in prisma/migrations/. CI applies it to a throwaway Postgres on every run and fails if schema.prisma and the migration history have drifted apart.

Deployment

The image is built by .github/workflows/release.yml on a version tag or manual dispatch, and pushed to ghcr.io/<owner>/agent-standup tagged latest and the version. The package is public, so pulling it needs no registry credential. Wherever it runs, pull and run it with docker-compose.prod.yml:

GHCR_IMAGE=ghcr.io/<owner>/agent-standup:latest
DATABASE_URL=postgres://user:password@host:5432/agent_standup
docker compose --env-file .env.production -f docker-compose.prod.yml pull
docker compose --env-file .env.production -f docker-compose.prod.yml up -d

docker-compose.prod.yml has no build: block and no bind mounts by design — it only ever pulls. It ships a health check on GET /api/health (liveness only — deliberately doesn't touch the database, so a slow DB doesn't make the process report unhealthy).

Postgres

This app needs its own Postgres reachable via DATABASE_URL. Prefer a dedicated Postgres instance over adding a database to one that already serves another app — it keeps credentials, backups, and version upgrades independent, and the cost of one more small container is low. Only share an existing instance if there's a specific reason to (e.g. a hosting limit on how many database services are allowed).

If Postgres runs as its own container next to this one, order startup with depends_on: condition: service_healthy — the entrypoint runs prisma migrate deploy at boot, which opens a real database connection even when there are zero pending migrations (expect and ignore No migration found in prisma/migrations until the baseline migration ships — see MILESTONES.md). Give Postgres's own health check a generous start_period: a cold first boot (initdb plus the official image's own internal restart) can take noticeably longer than a short window allows, which can make depends_on give up right before Postgres would have come up healthy on its own.

Deploying alongside other services

Some hosts run several unrelated apps under one shared Docker Compose project rather than one compose file per app — a shared .env holding per-service location/config variables, one compose file defining every service, sub-folders per service holding data only. If that's the target, fold this app's service block (and a Postgres block per the section above) into the shared file instead of running docker-compose.prod.yml standalone — the service definitions are the same either way, only which file they live in changes. In that setup:

• Back up the shared compose file first, before editing it.

• Never run a bare up, down, or restart with no service names in a directory that already has other services running from that file — always name the services you mean to affect explicitly, e.g. docker compose up -d agent-standup agent-standup-db. An unscoped command recreates (or stops) everything the file defines, not just what you're deploying.

• Pick a host port that isn't already in use — check what the shared compose file and the host's listening ports already claim before adding APP_PORT.

• Keep real secrets (the generated DATABASE_URL password, etc.) only in that host's own .env — never copied into this repo.

Status

The boilerplate is in place: app skeleton, CI, Dockerfile, and compose files. The database schema has its initial migration, but nothing queries it yet — the API surface described in SCHEMA.md isn't built. See MILESTONES.md for the build order.