Results for “multiplayer”

Bootstrap and run a multi-agent AI development team with parallel chats for planning, development, QA, and DevOps.

Orchestrates three frontier models to debate a question and synthesizes their best insights into a single superior answer.

Benchmarks language model agents on the C2C multi-agent negotiation task, reporting win rate across starting positions.

Orchestrates multi-agent workflows defined in YAML piece files, delegating tasks to team members and managing state transitions.

Syncs key-value preferences and state across multiple agents using a shared TiDB Zero database, with optional auto-provisioning of a free ephemeral database.

Orchestrates a multi-agent build session, acting as manager to cut goals into units, spawn implementer and tester subagents, and run test-and-review loops with anti-thrash guardrails.