7 entries
Keyword: multi-agent-systems
X post:rvaniaaa
rvaniaaa contends that the primary bottleneck in multi-agent workflows is geometry rather than model intelligence. Switching from sequential agent chains to graph-based architectures allows parallel execution and substantially reduces overall execution time.
2.9kbookmarks233.5kviews
X post:Mahax
An X post by Mahax highlights a one-hour lecture by Jeff Dean spanning LLM basics to coordinating 100 AI agents. The post also references an accompanying guide on graph engineering using Claude.
3.8kbookmarks273.9kviews
Article:Juraj Gottweis et al.
A research team led by Juraj Gottweis and Vivek Natarajan has introduced 'Co-Scientist' in Nature. Built on Google Gemini, the multi-agent system assists researchers in formulating, evaluating and evolving novel scientific hypotheses and experimental protocols. By scaling test-time compute within an asynchronous multi-agent framework, hypotheses undergo iterative tournament-based self-improvement. The system was validated through in vitro laboratory experiments across three complex biomedical domains.
Article:Jiaqi Liu et al.
A research team led by Jiaqi Liu introduces AutoResearchClaw, an autonomous multi-agent research pipeline. Moving away from rigid linear workflows, the system implements iterative error recovery, verifiable reporting, and adaptable human intervention modes. On the ARC-Bench benchmark, it outperforms AI Scientist v2 by 54.7%.
Repository:zou-group/virtual-lab
Virtual Lab is an open-source framework facilitating collaboration between human scientists and teams of LLM agents. Interactions are structured into team and individual meetings to systematically tackle scientific agendas.
729starsJupyter Notebook
From Video: Weekly AI Updates: Model Releases, Agent Harnesses, and Developer Tooling (August 2026)
X post:rari
A guide and workshop by rari explores the discipline of harness engineering for AI agents. When agents fail, the issue is rarely model weights or prompts, but an underspecified operating environment. Drawing on the Claude Agent SDK and references from Anthropic and OpenAI, the author explains how to design external state, tooling, sensors, and execution loops.
2kbookmarks142.2kviews
X post:codila
Codila highlights a free two-hour Google course on graph engineering for multi-agent systems and outlines how to evolve beyond linear agent sequences into networked parallel graphs. Using Dynamic Workflows in Claude Code v2.1.154+, the guide demonstrates orchestrating hundreds of agents simultaneously without exhausting context windows.
6.8kbookmarks465.4kviews
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