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Principles

Paseka is a local, event-driven runtime for AI coding agents (bees) that work inside a git repository (colony). Agents do not share a central planner: they react to bus events and collaborate through strict message contracts.

Choreography, not orchestration

  • No central scheduler decides the next step for every agent.
  • Bees subscribe to event kinds they care about and publish results back to the bus.
  • Work emerges from the event stream (SIGNAL, INSIGHT, MUTATION, VERIFICATION) rather than a fixed DAG owned by a controller.

Event contracts and identity

  • Domain messages use typed contracts on NATS / JetStream.
  • A traceId (flight trail) ties related signals, tasks, and mutations together.
  • A taskId is a unit of nectar work inside a trace; each adapter invocation has an agentId.

Budget and stability

  • Each trace has a shared honey reserve (energyToken). Every adapter dispatch consumes energy so runaway LLM loops burn out instead of looping forever.
  • system.kill hard-stops a trace (cancel in-flight AFK, block further dispatch). Confidence filtering remains a backlog follow-up — see Backlog.

Human in the loop

The beekeeper is a first-class participant, not a blocked approval step in an orchestrator:

  • Review mutations (Queen Console / CLI).
  • Interactive sessions (paseka bee chat).
  • Top up or inspect honey for a trace.
  • Hard-kill a runaway trace (paseka kill / system.kill).

Colony vs machine

Layer Location Holds
Colony (shareable) .paseka/ in the git repo bees, prompts, colony manifest
Apiary (local) ~/.config/paseka/<slug>/ secrets, adapter credentials, runtime state

Where to go next

Goal Doc
Vocabulary Glossary
Historic product brief (RU) Brief
What a colony could learn from its own trails Self-improving colonies
Config layout / paseka init Colony layout
Configure a bee Bee config
CLI reference CLI
Operate the web UI Queen Console
Work interactively Interactive sessions
Define ingress shortcuts Forage Cues
Understand events and routing Event contracts, Bee routing
Understand runtime internals Architecture overview
Deploy an always-on apiary Homelab deployment
Shipped work & design drafts Changelog, Specs index