Frameworks are moving from generating agents on the fly to retrieving, validating, and governing them. Tools like CRAFTER, LLM Agents Factory, and Experience Orchestrator aim to reduce inference costs and prevent agent collapse.
Two LLM agents with opposing goals don't compete—they collapse. Experience Orchestrator, tested across 60,000 financial services simulations, adds a control layer using a Contextual Bandit, PID, and POMDP. High-intent advisor contact rate rises from ...
LLM Agents Factory offers a pragmatic approach to agent management: instead of generating agents per request, it retrieves them from a structured archive. This reduces inference costs, latency, and GPU pressure, with direct implications for those bui...
A retrieval-based framework with distillation builds specialized LLM agents without on-the-fly generation, sharply cutting compute costs and improving stability. Tests match AutoGen’s accuracy with a 120B backbone at far lower inference cost, marking...
An open-source experiment demonstrates an essential coding agent: 9 lines of Python, standard library only, no external dependencies. It works with any OpenAI Responses-compatible API, uses a single sh tool, session-based caching, and shows context w...
A dual-generator system mines the residuals of a frozen forecaster for interpretable corrective features. An LLM proposes combinations, flags, and short code; a validation gate decides whether to apply them. Across six datasets and six backbones, CRA...
Cloudflare has released Cloudflare OS as open source, a 'vibe-coding' platform originally built for internal use to let employees create applications with AI agents, including non-technical staff. It features a security framework that, the company cl...
