Agentlas-OS
by agentlas-ai
Local-first agent OS that spins ephemeral orchestrators to coordinate specialist agents
Overview
Manages a local-first hub of specialist agents and spins up a temporary orchestrator per task to coordinate them. Uses lightweight agent containers/skills and an ephemeral director to delegate, route messages, and aggregate results across models. Designed to work with any model backend and to keep agent state and logs local for inspection and replay. local-first hub and orchestrator help coordinate distributed agents while keeping visibility local.
Key Benefits
Ideal For
Teams building multi-agent workflows that need local inspection, reproducible task orchestration, and per-task orchestrators for debugging and evaluation. Leverage a Planning Pattern to optimize cross-agent coordination.
Real-World Examples
- Coordinate specialist agents for complex tasks while keeping logs and state local for debugging
- Create reproducible, per-task orchestrators to replay and evaluate agent interactions
- Capture agent interaction logs and handoffs to feed reputation or evaluation tooling