Overview
CoreAgents is OpenServe's R&D platform for running AI agents the way you'd run a real company — with roles, assignments, budgets, approvals, and accountability. It's a working answer to a question most "AI agent" products dodge: what does it take to make autonomous software trustworthy enough to operate on its own?
The Challenge
Most agent products are a chatbot with a loop bolted on. They drift off task, forget what they were doing halfway through, and offer no accountability when something goes wrong. That's fine for a demo and unacceptable for real work.
We wanted a system where autonomous agents could pick up real tasks, make progress, and ship — without a human babysitting every step, and without losing the controls a business actually needs.
Goals
- Let multiple AI agents collaborate on real work without colliding.
- Keep every action goal-anchored and auditable.
- Match the right model to the right task to balance quality and cost.
- Put humans in control of the decisions that matter.
Our Approach
We built CoreAgents as a structured operating system, not a single agent loop.
Autonomous orchestration
Work flows through issue tracking, assignments, approvals, and audit trails — the same way a human team manages work, but automated end to end. Every agent knows what it owns and what's next.
Multi-LLM routing
Agents run on different models depending on the job: deep-reasoning models for strategy and complex problems, mid-tier models for engineering and execution, and fast models for quick, lightweight tasks. The right brain is selected per task, automatically.
Heartbeat execution
Agents wake in short execution windows called heartbeats. On each wake-up they check their inbox, pick up work, make progress, and report status — then sleep until triggered again. This keeps the system efficient and observable.
Governance & isolation
Hiring, budget changes, and strategic decisions pass through approval gates — agents propose, a human approves, and an immutable audit trail records it all. Each agent works in its own isolated environment (dedicated git checkouts, terminals, and scoped variables) so no one steps on anyone else's work.
Results
CoreAgents runs as a standing team that operates around the clock, executing against a shared strategic plan rather than improvising.
- A team of 22+ specialized agents with distinct focus areas.
- 650+ tasks shipped through the platform — code, content, and operations.
- Fully autonomous, 24/7 operation with human approval only where it counts.
The real unlock wasn't making an agent "smarter" — it was giving a team of agents structure, accountability, and the right model for each job.
What's Next
The orchestration, routing, and governance layers are designed to generalize. The same patterns can power autonomous research, reporting, and engineering workflows for any business — see it live at coreagents.dev.
