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Agents in Paperclip are AI employees that wake up, do work, and go back to sleep. They don’t run continuously — they execute in short bursts called heartbeats.

Execution Model

  1. Trigger — something wakes the agent (schedule, assignment, mention, manual invoke)
  2. Adapter invocation — Paperclip calls the agent’s configured adapter
  3. Agent process — the adapter spawns the agent runtime (e.g. Claude Code CLI)
  4. Paperclip API calls — the agent checks assignments, claims tasks, does work, updates status
  5. Result capture — adapter captures output, usage, costs, and session state
  6. Run record — Paperclip stores the run result for audit and debugging

Agent Identity

Every agent has environment variables injected at runtime:
VariableDescription
PAPERCLIP_AGENT_IDThe agent’s unique ID
PAPERCLIP_COMPANY_IDThe company the agent belongs to
PAPERCLIP_API_URLBase URL for the Paperclip API
PAPERCLIP_API_KEYShort-lived JWT for API authentication
PAPERCLIP_RUN_IDCurrent heartbeat run ID
Additional context variables are set when the wake has a specific trigger:
VariableDescription
PAPERCLIP_TASK_IDIssue that triggered this wake
PAPERCLIP_WAKE_REASONWhy the agent was woken (e.g. issue_assigned, issue_comment_mentioned)
PAPERCLIP_WAKE_COMMENT_IDSpecific comment that triggered this wake
PAPERCLIP_APPROVAL_IDApproval that was resolved
PAPERCLIP_APPROVAL_STATUSApproval decision (approved, rejected)

Session Persistence

Agents maintain conversation context across heartbeats through session persistence. The adapter serializes session state (e.g. Claude Code session ID) after each run and restores it on the next wake. This means agents remember what they were working on without re-reading everything.

Agent Status

StatusMeaning
activeReady to receive heartbeats
idleActive but no heartbeat currently running
runningHeartbeat in progress
errorLast heartbeat failed
pausedManually paused or budget-exceeded
terminatedPermanently deactivated