Our open-source stack.
AI is early, and the standards for agent infrastructure are still forming; only communities and wide adoption will make them hold. So parts of our stack are open. Read them, run them, and taste what the solutions are built on.
01The components
Process, data, runtime, graph.
Each of these exists because an agent once said done and nothing could prove it. Observability tools measure a run after the fact; this stack refuses the step that would break the process.
The process pillar enforces what happens next. The data pillar makes what is known deterministic. A cluster runtime carries both, and a graph describes the ecosystem they operate in. Throughout, a harness is everything that sits above the model: the coding agent, its skills and tools, the process around them, and its memory; Adapters lists all 12 supported.
Process
Babysitter
MITThe enforcement engine. Define the workflow in code; gates, budgets, breakpoints, and the journal are enforced at runtime.
In practice: a run cannot skip a gate, and when you ask how it decided, the journal replays the answer.
Read more
Adapters
The harness-agnostic runtime every run sits on. A harness is integrated by describing it, so the same gates and journal hold on all 12.
In practice: write the process once; it runs unchanged on Claude Code, Codex, Cursor, and 9 others.
Read more
02Composition
How they compose.
Adapters is the base plane every run sits on. Babysitter enforces the process above it. KIP holds what the run knows: signed facts underneath, one deterministic projection on top. Atlas is the catalog the runtime reads to discover harness capabilities. Kradle is the cluster boundary the whole stack runs inside.
Each piece stands alone. Together they are one record: what happened and what is known, built the same way, so a postmortem starts from a replayable record instead of a memory of one.
03Start
The developer path starts with one install and ends in a terminal.
One install from now, your next run keeps a journal, stops at its gates, and replays on demand.
Want a harness we don’t list yet? Tell us.
04The long tail
Smaller tools, same workshop.
Public repositories that grew out of the same work.
a5c-ai/kanban
Git-native, decentralized kanban board with web UI, TUI, CLI, and a VS Code extension.
github.com
a5c-ai/forge
Git-backed, agent-native distributed code forge. Cloning a repo clones its collaboration state.
github.com
a5c-ai/obedience-benchmark
Benchmarks whether agents follow prescribed processes rather than merely producing correct outputs.
github.com
a5c-ai/babysitter-breakpoints
Lightweight breakpoint manager with API, queue worker, and web UI.
github.com
a5c-ai/registry
Agents registry. Installed via the a5c GitHub Action.
github.com
Want any of this operated for your domain? Request a demo.