Run a fleet of AI coding agents — portable, auditable, human-in-command.
Kiloloop builds vendor-neutral tools for one loop: plan delegated AI work, coordinate it, and learn from every run. Coordination lives in plain files (no server), messages are signed and verifiable, and agents declare their scope up front — when a run drifts from its declaration, the protocol pauses it for a human. Everything here is maintained daily by the agent fleet it coordinates — the same protocol these repos document is the one that ships them.
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OACP — the Open Agent Coordination Protocol. Typed async messaging between agents (task dispatch, code review, handoff, brainstorm) plus persistent shared memory across agents, projects, and machines. File-based and runtime-agnostic: Claude Code, Codex, Gemini, or anything that reads YAML. Agents declare minutes, files, and side effects before work starts; mid-run checkpoints pause for human re-authorization when reality drifts from the declaration. v0.4 adds Ed25519-signed messages and audit records for every autonomy decision.
pip install oacp-cli -
agent-estimate — know what an AI task will cost before you run it, and how the forecast held up after. PERT estimates calibrated for AI agents, human-equivalent compression ratios, METR reliability thresholds, and multi-agent wave planning. CLI, GitHub Action, and Claude Code plugin.
Working examples you can fork, built on the products above:
- iantha — a personal chief of staff. Morning briefings, evening reviews, decision logs, optional Obsidian vault automation. Markdown memory + skills — clone and run with Claude Code or Codex.
- brainstorm — multi-model brainstorms with 5 copy-paste prompts. Pick a coordinator agent, dispatch to the others, synthesize.
- cortex — multi-agent single source of truth; consolidates session debriefs into daily snapshots.
- oacp-skills — reusable skills for OACP agents: check-inbox, doctor, review-loop, self-improve, wrap-up.
- kiloloop.com — company
- oacp.dev — protocol docs