R^2Orch: Recursive Self-Improvement for Agent Orchestration via Self-Play
R^2Orch adds inner self-play and outer loops using Recursive Learnability and Skill Withdrawal to enhance agent orchestration.
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R^2Orch adds inner self-play and outer loops using Recursive Learnability and Skill Withdrawal to enhance agent orchestration.

A team spent about 500 billion tokens orchestrating AI agents to decompile an unnamed shooter.
POrchestra lets sub-agents request mid-run harness changes, lifting long-horizon task success by about 9%.
Google open-sourced AX, a declarative orchestrator that sandboxes and scales agentic tasks to billions of concurrent sessions on its Agent Substrate runtime.

Salesforce pitches Agentforce as an enterprise agent platform with testing, observability, and deterministic gating; Southwest Airlines reports $6M annual savings and 45% autonomous resolution.

OpenAI launched the Agents API in public beta, exposing the Codex agent harness, managed sandboxes, and multi-agent orchestration to developers.
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