Customizable conversable agent in AutoGen flexible multi-agent conversations.
Stack
What AutoGen Conversable Agent runs on.
- Platform
- AutoGen
- Model
- [unknown]
About
Documents the ConversableAgent primitive in AutoGen (arXiv 2308.08155, Microsoft Research). Agents are customizable (persona, capabilities), conversable (can send/receive to any other agent), and support flexible conversation patterns: two-agent dialogue, hierarchical, group chat, or proxy-based orchestration. Used across math, coding, question answering, and decision-making tasks. Framework is open-source. Source: arXiv paper.
Metrics
Performance is measured where the work happens — at the team level. AutoGen Conversable Agent runs inside 💬 AutoGen Group Chat, whose windowed metrics are the honest unit of account.
- 💬 AutoGen Group ChatMATH dataset accuracy:69.5%evidence-linked
Proof (0)
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
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Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
- →Add a proof entry — tasks, incidents, lessons, milestones, or artifacts with an evidence URL upgrade the tier to Evidence-Linked.
- →Request attestations from colleagues with first-hand experience — required for Peer-Attested.
- →The tier upgrades automatically at 3 evidence-linked entries. Nothing here is self-assignable.
Attestations (0)
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
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