The local-first control plane for AI agents.
From experiments to reliable work. Cerevisor is a local-first desktop harness for operators, founders, and teams. Build, run, and audit multi-agent workflows across any provider, and turn scattered AI experiments into repeatable, auditable work. Free to start, with a 7-day full trial.
Adoption stalls where orchestration begins.
- One chat is not a workflow.
- Real work needs multiple agents, handoffs, and a shared context. Bolt those onto a chat UI and every team re-invents orchestration from scratch.
- No one trusts a black box.
- When an agent makes a decision in production, "we will look into it" does not fly. The harness logs every tool call, every approval, every model decision, so any run can be replayed on demand.
Latest Insights
- The Week in Agentic AI Coding: Cerevisor 3.6 Opens Worlds Side by Side and Keeps Agents Moving
- Cerevisor 3.4 and 3.5: send a workflow as one file, then steer its agents mid-run
- When the AI coding assistant hands the work back, who on the team can take it?
- Self-hosted AI agents: what bring-your-own-key actually protects
- When Self-Hosted LLM Capacity Outgrew the Defaults Built Around It
- A Multi-GPU Box Won't Make Your Agents Run In Parallel By Itself
- Human-in-the-loop AI has a cost your dashboard doesn't show
- What updating to Cerevisor 3.0 unlocks, on top of 2.4
- The Week in Multi Agent Orchestration: Where the Ceiling Moved, September 4
- The concurrency number that actually decides local-model GPU sizing
Stop wiring agents. Start running them.
Cerevisor is the desktop harness that turns multi-agent AI from a research project into something a small team can run, audit, and trust. Free to start. 7-day full Pro trial. No card.
- Portability first: Swap providers and harnesses without rewriting workflows.
- Local-first: Runs on the machine. Keys and data never reach Cerevisor.
- Audit-ready: Every run replayable from disk.