## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The server keeps one postgres.js pool (`packages/db/src/client.ts`, `createDb`) for every query it runs. #10795 made the pool tunable from the environment, but the defaults stayed at the driver defaults: an idle connection never closes, the pool reports itself as `postgres.js`, and no code path ever calls `sql.end()`. > - On a hosted Paperclip deployment the server entered a restart loop (a bundled plugin failure that #12953 describes made every run fail, and the pool saturated). Each generation opened its ten connections, died, and left the backends open on the PostgreSQL side until TCP keepalive reaped them hours later. After about 20 generations the backends exceeded `max_connections`, and every later boot died on its first bootstrap query with `sorry, too many clients already`, before `server.listen()`. The loop could not heal itself. #9555 describes the same shape on a launchd-supervised self-hosted install. > - Three properties of the pool combine to make this possible: idle connections are never reaped, the pool is never ended on any exit path, and an operator cannot even find the leaked backends in `pg_stat_activity` because they carry the generic driver name. > - This pull request gives the pool a 60 second idle timeout and the `paperclip` application name by default, exposes `max_lifetime` and `application_name` through the same `DATABASE_*` environment contract that #10795 introduced, and ends the pool on the orderly SIGINT/SIGTERM path and on the fail-loud startup path. > - The benefit is that a restarting or crash-looping server releases its backends instead of accumulating them, and an operator can see and count Paperclip's connections. ## Linked Issues or Issue Description - Refs #9555 — database connection pool leak causes an infinite restart loop under load. This PR closes the "pool never ends, idle connections never close" part of that report. - Refs #12953 — hosted outage report. The pool exhaustion is the second half of that incident; the first half (a stuck sandbox provider plugin) has its own PR. - Related prior PRs: #9597 and #8780 both propose hard-coded `idle_timeout` / `max_lifetime` values in `createDb`. Both predate #10795 (merged), which made these options environment-driven; this PR builds on the merged shape and adds the shutdown `end()` that neither covers. #4006 and #7481 are closed earlier attempts in the same area. ## What Changed - `packages/db/src/client.ts` - New `resolveDatabaseClientOptions()` applies Paperclip defaults on top of the environment: `idleTimeoutSeconds` defaults to 60 (`DEFAULT_DATABASE_IDLE_TIMEOUT_SECONDS`) and `applicationName` to `paperclip` (`DEFAULT_DATABASE_APPLICATION_NAME`). `createDb` uses it for both the environment path and explicit options. - `DATABASE_IDLE_TIMEOUT_SECONDS` now accepts `0` to restore the driver default (keep idle connections open). Negative or non-integer values still throw. - New environment variables: `DATABASE_MAX_LIFETIME_SECONDS` (positive integer, maps to `max_lifetime`) and `DATABASE_APPLICATION_NAME` (non-empty string, maps to `connection.application_name`). - `postgresJsOptions()` maps the two new options. - `server/src/shutdown.ts` - `finalizeServerShutdown` gains two optional ordered steps: `closeHttpListener` runs first, before the application services stop; `closeDatabase` runs after the application services and before the embedded PostgreSQL stop. A failure in either is logged and does not stop the teardown. Final order: listener → application services → database pool → embedded PostgreSQL → instrumentation → Sentry. - New `closeHttpListenerForShutdown()`: stops accepting requests, closes idle keep-alive sockets, waits up to 5 s for open connections, then closes whatever is left. Requests still in flight are drained while every service is available, and none can reach a route after `sql.end()`, on the signal path and the programmatic path alike (the programmatic path's later `server.close` finds the listener closed and skips). - `server/src/app.ts`: the app shutdown hook (`shutdownAppServices`) now stops the plugin job scheduler, whose tick queries the database, so a programmatic `shutdown()` leaves no timer running against the ended pool. - `server/src/index.ts` - `startServer()` is now a thin wrapper around the boot sequence. When the boot sequence throws after the pool exists, the wrapper ends the pool (and the separate migration pool, when configured) before it rethrows. This covers the `process.exit(1)` path in the main module and the CLI `paperclip run` path alike. - The orderly shutdown passes the same `closeDatabaseClients` to `finalizeServerShutdown`. - `endDatabaseClient` tolerates a client without `$client` (test doubles) and uses a 5 second end timeout. - Docs: `docs/deploy/database.md` gets a "Connection Pool Settings" table with every `DATABASE_*` pool variable, its default and its effect; `doc/DATABASE.md` lists the two new variables. - Tests - `packages/db/src/client-options.test.ts`: parsing of the new variables, `0` for the idle timeout, rejection of malformed values, driver option mapping, and the `resolveDatabaseClientOptions` defaults. - `packages/db/src/client.test.ts` (embedded PostgreSQL): `createDb(url)` reports `application_name = paperclip` for its own backend, and a pool with `idleTimeoutSeconds: 1` has zero backends in `pg_stat_activity` after the timeout. - `server/src/shutdown.test.ts`: the listener closes before the application services, and the database close runs between the application services and the embedded PostgreSQL stop; a failing database close is logged while the teardown still finishes; `closeHttpListenerForShutdown` closes idle sockets and resolves on close, force-closes after the grace period, and is a no-op when the listener was never bound. ## Verification - `pnpm --filter @paperclipai/db typecheck` — passes (`check:migrations` + `tsc --noEmit`). - `cd server && pnpm typecheck` — passes. - `cd packages/db && pnpm exec vitest run src/client-options.test.ts src/client.test.ts src/client-teardown-registry.test.ts` — 9 + 18 + 3 tests pass (the `client.test.ts` cases need embedded PostgreSQL; the new one waits up to 10 s for the idle reap and passed in about 3 s). - `cd server && pnpm exec vitest run src/shutdown.test.ts src/__tests__/server-startup-feedback-export.test.ts src/__tests__/bootstrap-claim-routes.test.ts` — 34 + 11 tests pass. The startup-feedback suite exercises `startServer()` with a mocked `createDb`, which is why `endDatabaseClient` tolerates a client without `$client`. - Manual check for a reviewer: start the server against any PostgreSQL, then run `SELECT application_name, state, count(*) FROM pg_stat_activity GROUP BY 1, 2;`. Paperclip's backends now show `paperclip`. Leave the server idle for more than 60 s and the idle backends disappear. Send SIGTERM and the backends close before the process exits. ## Risks - Behavior change with no environment set: idle pooled connections now close after 60 s. The next query after an idle period pays a reconnect (single-digit milliseconds on a local socket). postgres.js reconnects transparently. Set `DATABASE_IDLE_TIMEOUT_SECONDS=0` to keep the previous behavior. - `application_name` changes from `postgres.js` to `paperclip`. Anything that filtered `pg_stat_activity` on the old name would need an update; nothing in this repo does. - The HTTP listener now closes at the start of the final teardown (after the heartbeat run drain, which still needs the API for running agents). The pool close runs after the application services. A late query from a timer that survived the service shutdown would fail with a driver "connection ended" error instead of running; the known database-backed timer (the plugin job scheduler) is now stopped in the service shutdown. - The listener drain adds at most 5 s to a shutdown while long-lived connections (for example WebSocket clients) are open; after that they are closed forcibly. - `startServer()` is split into a wrapper and the boot sequence. The exported signature and return type are unchanged. - No migration, no schema change. ## Model Used - Claude Fable 5.1 (`claude-fable-5-1`) via Claude Code, extended thinking, tool use (file edits, shell, test runs). The change was produced with the model and reviewed by the submitting human. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge 🤖 Generated with [Claude Code](https://claude.com/claude-code) https://claude.ai/code/session_014t3bi2beVNVVHAxK36dmXm --------- Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
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Database
Paperclip uses PostgreSQL via Drizzle ORM. There are three ways to run the database, from simplest to most production-ready.
1. Embedded PostgreSQL — zero config
If you don't set DATABASE_URL, the server automatically starts an embedded PostgreSQL instance and manages a local data directory.
pnpm dev
That's it. On first start the server:
- Creates a
~/.paperclip/instances/default/db/directory for storage - Ensures the
paperclipdatabase exists - Runs migrations automatically for empty databases
- Starts serving requests
Data persists across restarts in ~/.paperclip/instances/default/db/. To reset local dev data, delete that directory.
If you need to apply pending migrations manually, run:
pnpm db:migrate
When DATABASE_URL is unset, this command targets the current embedded PostgreSQL instance for your active Paperclip config/instance.
Issue reference mentions follow the normal migration path: the schema migration creates the tracking table, but it does not backfill historical issue titles, descriptions, comments, or documents automatically.
To backfill existing content manually after migrating, run:
pnpm issue-references:backfill
# optional: limit to one company
pnpm issue-references:backfill -- --company <company-id>
Future issue, comment, and document writes sync references automatically without running the backfill command.
This mode is ideal for local development and one-command installs.
Docker note: the Docker quickstart image also uses embedded PostgreSQL by default. Persist /paperclip to keep DB state across container restarts (see doc/DOCKER.md).
2. Local PostgreSQL (Docker)
For a full PostgreSQL server locally, use the included Docker Compose setup:
docker compose up -d
This starts PostgreSQL 17 on localhost:5432. Then set the connection string:
cp .env.example .env
# .env already contains:
# DATABASE_URL=postgres://paperclip:paperclip@localhost:5432/paperclip
Run migrations:
DATABASE_URL=postgres://paperclip:paperclip@localhost:5432/paperclip \
pnpm db:migrate
Start the server:
pnpm dev
3. Hosted PostgreSQL (Supabase)
For production, use a hosted PostgreSQL provider. Supabase is a good option with a free tier.
Setup
- Create a project at database.new
- Go to Project Settings > Database > Connection string
- Copy the URI and replace the password placeholder with your database password
Connection string
Supabase offers two connection modes:
Direct connection (port 5432) — use for migrations and one-off scripts:
postgres://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:5432/postgres
Connection pooling via Supavisor (port 6543) — use for the application:
postgres://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:6543/postgres
Configure
For the application runtime, use a direct PostgreSQL connection unless the database client has explicit prepared-statement configuration for your pooling mode:
DATABASE_URL=postgres://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:5432/postgres
If you later run the app with a pooled runtime URL, set DATABASE_MIGRATION_URL to the direct connection URL. Paperclip uses it for startup schema checks/migrations and plugin namespace migrations, while the app continues to use DATABASE_URL for runtime queries:
DATABASE_URL=postgres://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:6543/postgres
DATABASE_MIGRATION_URL=postgres://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:5432/postgres
If your hosted database requires transaction-pooling-only connections (pgbouncer transaction mode, Supavisor port 6543, Neon -pooler endpoints), set DATABASE_PREPARED_STATEMENTS=false so the client does not rely on session-scoped prepared statements, and keep DATABASE_MIGRATION_URL on a direct connection. Do not edit database client source files as part of deployment setup.
Client tuning (optional)
All of these are optional; when unset, the driver defaults apply and behavior is unchanged — typical self-hosted setups need none of them:
DATABASE_PREPARED_STATEMENTS=false # required for transaction-mode poolers; default: enabled
DATABASE_POOL_MAX=25 # connection pool size; default: 10
DATABASE_IDLE_TIMEOUT_SECONDS=60 # close idle pooled connections; default: 60 (0 = keep open)
DATABASE_CONNECT_TIMEOUT_SECONDS=10 # default: 30
DATABASE_MAX_LIFETIME_SECONDS=1800 # recycle a pooled connection after this long; default: 30-60 min (random)
DATABASE_APPLICATION_NAME=paperclip # application_name in pg_stat_activity; default: paperclip
Push the schema
# Use the direct connection (port 5432) for schema changes
DATABASE_URL=postgres://postgres.[PROJECT-REF]:[PASSWORD]@...5432/postgres \
pnpm db:migrate
Free tier limits
- 500 MB database storage
- 200 concurrent connections
- Projects pause after 1 week of inactivity
See Supabase pricing for current details.
Switching between modes
The database mode is controlled by DATABASE_URL:
DATABASE_URL |
Mode |
|---|---|
| Not set | Embedded PostgreSQL (~/.paperclip/instances/default/db/) |
postgres://...localhost... |
Local Docker PostgreSQL |
postgres://...supabase.com... |
Hosted Supabase |
Your Drizzle schema (packages/db/src/schema/) stays the same regardless of mode.
Migration authoring checklist
The 0126 issue comment attribution backfill showed the failure mode this checklist is meant to prevent: each batch looked for the next rows with an unindexed predicate, so PostgreSQL repeatedly scanned the same table and the migration became O(n²) as the table grew.
When authoring migrations or one-time backfills:
- Create the supporting index for the batch predicate before the backfill loop runs.
- Bound batches by an indexed key, such as an id range or keyset pagination cursor. Do not use
OFFSETpagination or a query shape that re-scans already-visited rows each batch. - Avoid unbounded full-table
UPDATEorDELETEstatements. Add a selective predicate and process rows in bounded batches when table size can be large. - Use
CREATE INDEX CONCURRENTLYfor large existing tables when the migration can run outside a transaction and must avoid long write locks. - Split schema changes, index creation, and data backfill into separate phases so each step has clear locking and rollback behavior.
- Treat the
check:migrationsCI gate as the enforcement backstop for these rules. If it flags a migration, rewrite the migration or add a suppression comment with the indexed predicate, batch bound, and reason the remaining scan is safe.
Migration snapshots
drizzle-kit generate diffs packages/db/src/schema/ against the newest snapshot in packages/db/src/migrations/meta/. That snapshot must describe the schema that every migration produces when they run in order. A snapshot that drifts from the schema makes the next migration wrong, because generate folds the drift into it. The drift can add a column that an earlier migration already created, which makes that migration fail on a fresh database. It can also drop a column that the schema still uses.
- Create every migration with
pnpm --filter @paperclipai/db generate. Do not hand-write a snapshot. - Do not hand-edit a snapshot to resolve a merge conflict. Renumber your migration and run
generateagain, aspackages/db/.gitattributesdescribes. packages/db/src/migration-snapshot-drift.test.tsis the enforcement backstop. It repeats the diff thatgenerateperforms and fails when the newest snapshot no longer matchespackages/db/src/schema/.
Cloud runtime identity singleton
The private instance_settings row whose singleton key is
cloud-runtime-identity/v1 records the immutable Cloud stack id, warm-pool
claim id, previous pool origin, canonical origin, and stack slug accepted from
Cloud's signed pre-activation assertion. It is separate from the normal
default settings row and never appears in the settings API. This is
intentionally instance-scoped rather than company-scoped: an instance has one
public identity, and the existing unique singleton-key index makes concurrent
or later attempts to replace it fail closed. The server loads the row before
constructing URL-dependent runtime services on every boot.
Resource membership tables
Paperclip stores current-user sidebar membership state in:
project_membershipsagent_memberships
These rows are company-scoped and user-scoped. A missing row means the user is joined, so existing users keep seeing projects and agents in the sidebar until they explicitly leave them. Rows only control sidebar visibility; they do not affect project/agent detail access, all-pages, selectors, assignment flows, or existing company permissions.
Both tables use a unique key on (company_id, user_id, resource_id) and keep state as joined or left. Join/leave mutations are idempotent board-user /me operations and write activity entries when the effective state changes.
Decision training snapshot retention
decision_training_examples stores a point-in-time copy of an issue, its comments, relevant runs, and the selected decision. Each row carries the scrub_deleted_comments_v1 retention policy marker, and JSONL exports include that marker alongside the snapshot.
- Deleting a captured source comment transactionally replaces that comment in every affected snapshot with a content-free redaction tombstone. The original body, presentation, and metadata are not retained in the training record.
- Deleting an issue deletes its decision-training examples through the
issue_idforeign-key cascade. - Deleting a training example deletes only that example and does not mutate the source issue.
This policy makes training exports self-describing while keeping the decision record usable after a comment deletion without retaining content the author removed.
Decision queues and triage provenance
The decisions desk stores queue membership, decide-by/snooze state, and retention state in decision_queues, decision_queue_items, decision_triage, and decision_retention. These sidecars use the stable attention identity (source_kind, source_id) so all attention source kinds can participate without copying source titles, bodies, projects, or other visibility-sensitive data.
decision_triage_events is append-only history for queue and triage changes. Current rows and history both carry server-derived user/agent, heartbeat run, API-key, and responsible-user attribution where applicable. Queue reads must resolve and authorize their source rows at read time; a sidecar row is never a visibility grant.
Triage writes serialize on the company and attention-source identity so concurrent partial updates preserve both fields and produce monotonic history versions.
decision_retention tracks the last observed source activityAt, Keep, reversible archive provenance, and monotonic source/archive versions. decision_archive_notification_outbox has a unique key over company, source identity, archive version, and immutable origin agent so repeated sweeps cannot enqueue duplicate notifications; delivery claims are retryable and coalesced per agent.
Native runner persistence
Native runner state is additive to the existing heartbeat tables. Every existing
heartbeat_runs row defaults to runtime_mode = 'legacy'; adding these columns
does not select the native runtime or start a runner process. Native execution can
record its resolved runtime profile, provider session, driver, completion
contract, durable event cursor, and finalization phase on the run when a later
rollout explicitly selects it.
completion_contracts, native_run_results, native_run_finalizations,
work_assessments, status_decisions, and status_decision_effects form the
append-oriented evidence and status-decision chain. Unique fingerprints,
versions, ordinals, and idempotency keys make retries deterministic. Composite
foreign keys bind every contract, result, assessment, decision, effect, and
finalization to one company, issue, and run. The database rejects mixed-owner
evidence even when every referenced ID exists. Native source identities on
heartbeat_run_events are nullable so legacy events remain readable without
rewriting historical rows. Per-run native source identifiers are unique, while
the existing legacy sequence behavior remains unchanged. The hidden native
coordinator serializes on its bound heartbeat_runs row, allocates
next_event_seq, and commits a validated PRP event before the transport sends
its cumulative ACK. Byte-equivalent source retries return the existing cursor;
gaps and conflicting replays fail closed. Accepted structured results enter the
finalization ledger, whose retry time and owner lease are checked under a row
lock. None of these writes selects a runtime or changes a legacy run's execution
path.
Issue status_version advances only when status changes. The JavaScript backup
path includes user-defined functions and triggers so a restored database keeps
that invariant. Removing or disabling a future native rollout flag must not
delete these records; persisted experimental runs remain available for recovery
and inspection.
native_run_finalizations also stores restart ownership and recovery state.
The controller owner is a server boot id, PID, operating-system process-start
timestamp, and monotonically increasing controller generation. Recovery writes
its correlated request id, current state, and a bounded JSON history. A
successor can take the lease immediately only when coordinated handoff or PID
and process-start evidence proves the prior controller is gone, or when the
lease expires. Recovery generation changes do not increment the independent
provider-attempt counter.
Question-response delivery receipts
issue_question_response_deliveries is the retry-safe, content-free outbox for
answered ask_user_questions interactions. Its unique interaction and correlation
indexes enforce one causal delivery per response. It records source and target
run/turn ids, payload digest, attempt/acknowledgement state, and one of steered,
coalesced, or wake_fallback; answer content remains only in
issue_thread_interactions.result. Deleting the interaction cascades its receipt,
while deleting a referenced run clears that run pointer without deleting history.
Plugin database namespaces
The plugin runtime tracks plugin-owned database namespaces and migrations in plugin_database_namespaces and plugin_migrations. Hosted deployments that separate runtime and migration connections should set DATABASE_MIGRATION_URL; plugin namespace migration work uses the migration connection when present.
Backups
Paperclip supports automatic and manual logical database backups. These dumps include
non-system database schemas such as public, the Drizzle migration journal, and
plugin-owned database schemas. See doc/DEVELOPING.md for the current
paperclipai db:backup / pnpm db:backup commands and backup retention
configuration.
Database backups do not include non-database instance files such as local-disk uploads, workspace files, or the local encrypted secrets master key. Back those paths up separately when you need full instance disaster recovery.
Secret storage
Paperclip stores secret metadata and versions in:
user_secret_definitionsuser_secret_declarationscompany_secretscompany_secret_versionscompany_secret_bindingssecret_access_events
Company secrets use company_secrets.scope = 'company' and are bound directly
through company_secret_bindings. User-specific secrets reuse the same provider
and version storage, but each value is a company_secrets.scope = 'user' row
with owner_user_id and user_secret_definition_id set. Definitions describe
the reusable company-level slot, declarations record where user_secret_ref
bindings are required, and the concrete value is selected later for the
responsible user.
Secret-aware env bindings are supported by agents, projects, and routines. Routine env lives in routines.env, is captured in routine_revisions.snapshot, and routine dispatches store routine_runs.routine_revision_id so runtime secret resolution uses the env snapshot that existed when the run was created. Routine secret refs bind with target_type = 'routine', target_id = routines.id, and config_path values under env.*.
For local/default installs, the active provider is local_encrypted:
- Secret material is encrypted at rest with a local master key.
- Default key file:
~/.paperclip/instances/default/secrets/master.key(auto-created if missing). - CLI config location:
~/.paperclip/instances/default/config.jsonundersecrets.localEncrypted.keyFilePath. - Backup/restore requires both the database metadata and the local master key file; either artifact alone is insufficient.
- The server best-effort enforces
0600key file permissions and provider health reports permission warnings. - User-scoped values use the same local encrypted provider path. Database backups preserve definitions, declarations, owner metadata, version metadata, and access events, but restored user-scoped values are decryptable only when the matching local master key is restored with the database.
Optional overrides:
PAPERCLIP_SECRETS_MASTER_KEY(32-byte key as base64, hex, or raw 32-char string)PAPERCLIP_SECRETS_MASTER_KEY_FILE(custom key file path)
Strict mode to block new inline sensitive env values:
PAPERCLIP_SECRETS_STRICT_MODE=true
You can set strict mode and provider defaults via:
pnpm paperclipai configure --section secrets
Inline secret migration command:
npx paperclipai secrets migrate-inline-env --company-id <company-id> --apply
# direct database maintenance fallback
pnpm secrets:migrate-inline-env --apply
Hosted AWS provider notes live in SECRETS-AWS-PROVIDER.md.