AREX introduces a recursively self-improving deep research agent with inner and outer loops
_reachsumit · x · 2026-07-24
AREX proposes a recursively self-improving deep research agent
The paper introduces AREX, a deep research agent that uses two loops:
- an inner loop that performs research
- an outer loop that audits the answer against constraints
The key idea is to let the system iteratively improve its own outputs while checking whether the final answer still satisfies the required conditions. The post points to both the paper and the code repository.
Related event: BAAI Introduces AREX: A Recursive Self-Improving Research Agent(2 posts)→
More from coding & agent
- Redditor seeks real-world stacks for a persistent-memory personal AI that answers texts and emails — BrooksomidusGG · 2026-10-27
- Practical tip: use max effort for planning, xhigh for implementation in Claude Code — majidmanzarpour · 2026-10-27
- Chrome team explains WebMCP: agents get tools from your website, not a replacement for MCP — rseroter · 2026-10-27
- Agent-Native apps: why agents bypassing your UI can break business rules — rseroter · 2026-10-27
- 'My intelligence stack': developer splits AI coding work across Opus 5.5, Fable and Astra with human review gates — sh_reya · 2026-10-27
- Baseten webinar: evaluate open models for coding agents by benchmarking on your own merged PRs — baseten · 2026-10-27