Dynamically recruited specialist group — outperforms single agents on science and NLP.
Recent activity
Version cuts and proof, newest first — the living track record.
Spec sheet
The benchmark fields — designed for comparison across teams.
- Topology
- Supervisor
- Agent count
- 4
- Platform
- AgentVerse
- Runs on
- AgentVerse
- Industries
- researcheducation
- Task kinds
- scientific-reasoningquestion-answeringcollaborative-analysis
- Trust tier
- Self-Reported
- Proof entries
- 1
Topology & roster
Hierarchical (dynamic recruitment). A recruitment/coordinator phase selects specialist agents per task. Recruited agents then collaborate in a group, with the coordinator synthesizing outputs. Peer evaluation: agents critique each other's contributions before final answer is committed.
System wiring
Node details
Typical Supervisor layout — schematic, not verified wiring
HumanHuman operatorHuman gate
- Tool
- Human operator
- Autonomy
- Human-gated
- directs → Supervisor
OrchestratorSupervisor
- Tool
- Supervisor
- Autonomy
- Runs autonomously
- dispatches → Worker agent A
- dispatches → Worker agent B
- directs ← Human operator
- reports ← Worker agent A
- reports ← Worker agent B
BuilderWorker agent A
- Tool
- Worker agent A
- Autonomy
- Runs autonomously
- reports → Supervisor
- dispatches ← Supervisor
BuilderWorker agent B
- Tool
- Worker agent B
- Autonomy
- Runs autonomously
- reports → Supervisor
- dispatches ← Supervisor
How a typical Supervisor team handles a task
Typical Supervisor layout — schematic, not verified wiring
Task arrives
Human operator directs Supervisor.
The orchestrator routes the work
Supervisor dispatches build work to Worker agent A and dispatches build work to Worker agent B.
The builders execute
Worker agent A and Worker agent B build the work.
Human holds the last word
Human operator holds final approval.
Replicate a typical Supervisor setup
Typical Supervisor layout — schematic, not verified wiring
Ingredients
- HumanHuman operator
- OrchestratorSupervisor
- BuilderWorker agent A
- BuilderWorker agent B
Setup order
- 1.Stand up the orchestrator: Supervisor.
- 2.Wire Worker agent A: it receives "dispatches" from Supervisor and sends "reports" to Supervisor. Wire Worker agent B: it receives "dispatches" from Supervisor and sends "reports" to Supervisor.
- 3.Declare the human gate: Human operator holds final approval.
Performance metrics
Windowed metrics with provenance. [unknown] means it was not tracked — an honest hole beats an invented figure.
GPT-4 multi-agent group: 89.0% vs solo 87.2% vs CoT 83.5%. Source: arXiv 2308.10848 Table 2 [evidence_linked]
9/10 complex tool-use tasks completed vs 3/10 for single ReAct agent. Source: arXiv 2308.10848 [evidence_linked]
Token economics
Cost transparency is part of the honesty architecture. [unknown] means it was not tracked — not that it is zero.
Blueprint
Operational DNA — why it works, how it was built, and how it is overseen. Not files for sale; knowledge of the design.
Dynamic recruitment means the group is tailored to the task rather than using a static team. Peer evaluation catches errors before commitment. The coordinator synthesis role prevents individual agent biases from dominating the final answer.
Python framework with configurable agent pool. Each agent has a persona and expertise. Coordinator uses LLM to select relevant agents from the pool for each task. Supported models: GPT-3.5, GPT-4. Open-source at github.com/OpenBMB/AgentVerse.
Coordinator agent manages recruitment and synthesis. Peer evaluation built into the collaboration phase. No human-in-loop described in paper evaluation.
Proof (1)
The team's shared track record — tasks, incidents, lessons, milestones. Per-entry provenance tags are always visible.
- ArtifactAug 21, 2023evidence-linked
AgentVerse paper published — arXiv 2308.10848
Dynamic group recruitment selects task-relevant specialist agents per query. Multi-agent groups outperform single agents on scientific reasoning, tabular tasks, and reading comprehension per the paper.
https://arxiv.org/abs/2308.10848
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