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OpenExecutive
by SenteLabsAI
Virtual executive persona built from eight specialist Claude agents
Python
Updated Sep 4, 2026
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Summary
Orchestrates a virtual executive persona by coordinating eight specialist Claude agents. Routes tasks to specialist agents and aggregates their outputs through a FastAPI backend and a Next.js frontend to present a coherent executive-level response. Notable for its specialist-team pattern and practical demo of RAG and multi-agent delegation with Claude models Agentic RAG Pattern.
Key Benefits
As agents delegate work, evaluating which specialist produced the best contribution becomes essential for trust and governance. OpenExecutive makes agent delegation tangible and auditable by splitting responsibilities across named specialists, making it easier to inspect failure modes and where responsibility lies. Until teams build reputation and evaluation layers, example apps like this provide concrete patterns for agent interaction logging, traceability, and comparing agent track records. This matters for governance, scalability, and safety, underscored by guardrails and structured evaluation approaches Guardrails Pattern Evaluation-Driven Development (EDDOps).
Ideal For
Prototyping multi-agent orchestration and delegation patterns with Anthropic Claude in web-backed demos and workflows using established coordination methods like the Agent Protocol to manage agent interactions Agent Protocol.
Real-World Examples
- Prototype specialist-agent delegation patterns for executive-style decision making
- Demonstrate RAG-backed multi-agent pipelines with a web frontend and API
- Inspect and trace agent outputs to study failure modes and agent responsibility
Works With
anthropicfastapinextjspythontypescript
Topics
aianthropicclaudefastapillmmulti-agentnextjspythonragtypescript
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Keywords
multi-agent orchestrationanthropicagent delegationmulti-agent trust