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agnt
by agnt-gg
Local-first OS for building and iterating multi-agent workflows
JavaScript
Updated Aug 24, 2026
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Overview
Provides a local-first OS for building, running, and iterating AI agents, workflows, and autonomous goals. Combines a visual workflow builder with runtime orchestration so teams can prototype multi-agent systems locally, inspect interactions, and iterate on behavior. Includes task scheduling, local state management, and tooling for debugging agent chains and delegations.
Key Benefits
As agents become more autonomous and delegate work, understanding their behavior and track record is essential for trust. A local-first OS lets developers reproduce interactions, collect logs, and iterate on workflows before deployment, making agent-to-agent evaluation and continuous improvement practical. By giving teams a sandboxed place to observe delegation and failure modes, it fills the gap between ad-hoc scripts and production orchestration. The system also provides a safe sandboxed space to observe delegation and failure modes, aiding responsible experimentation.
When to Use
Teams prototyping multi-agent systems who need a reproducible local environment to inspect agent interactions, debug delegations, and iterate before production. This is especially helpful for teams that want a practical reproducible local environment to experiment and refine behaviors.
Use Cases
- Prototype multi-agent workflows locally and reproduce interaction traces
- Inspect and debug agent delegation, failure modes, and message flows
- Iterate on agent policies and collect evidence for agent-to-agent evaluation
Works With
openaihuggingfacelangchain
Topics
agent-orchestrationagentic-aiai-agentsai-harnessai-operations-managementai-workflowsartificial-intelligenceautonomous-agentslocal-firstmulti-agent-systems+2 more
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Keywords
multi-agent trustagent track recordmulti-agent orchestrationlocal-first