[ Alpha‑Factory v1 — META-AGENTIC α‑AGI ] Mission End‑to‑end: Identify → Out‑Learn → Out‑Think → Out‑Design → Out‑Strategise → Out‑Execute GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… $AGIALPHA #AGIALPHA #AlphaInsight #MetaAgentic
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Alpha-Factory v1: Meta-Agentic AGI Framework Launch
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LLM Data Pipeline Failures: Research-Backed Solutions by Shreya Shankar
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@UCBerkeley PhD student Shreya Shankar reveals why your LLM data pipelines keep failing – and shares research-backed approaches to address them. Watch the full session here: https://
youtu.be/H-1QaLPnGsg/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_interrupt-2025_co
… Catch up on all the talks from Interrupt: https://
interrupt.langchain.com/video/?utm_med
ium=social&utm_source=twitter&utm_campaign=q2-2025_interrupt-2025_co
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11x Rebuilds Alice Agent with LangChain Full Stack
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@11x_official shares their experience rebuilding their Alice Agent using our full stack for building agents — LangGraph, LangGraph Platform, LangSmith, and LangChain. Sherwood Callawayand and Keith Fearon cover the technical journey from ReAct to Multi-Agent architecture, -
Token Consumption and Model Selection for AI Report Generation
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A few things we’ve learned: – It takes an average of 7 minutes to generate a complete report.
– Consumes a lot of tokens ~1M input, 100K output
– Yes, it’s not suitable for all use cases
– Model selection and fallback options are crucial due to the large amount of findings that -
LLM Agent Determines Research Necessity and Task Planning
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⇄ Condition Agent With the generated report, we let the LLM determine whether additional research is needed or if the findings are sufficient. If more is needed, the Planner Agent reviews all messages, identifies areas for improvement, generates follow-up research tasks, and
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Subagent AI Tools: Web Search, Scraping, ArXiv Access
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Subagent has access to web search, web scrape, and arxiv tools. Google Search – for web search links Web Scraper – for web content extraction. This will scrape the content of the links from Google Search. ArXiv – search, download and read content of arxiv papers
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Research Lead Agent: Analyzing Queries and Planning Tasks
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Planner Agent Act as an expert research lead to: – Analyze and break down user queries
– Create detailed research plans
– Generate specific tasks for subagents Output an array of research tasks. Full prompt: https://
github.com/anthropics/ant
hropic-cookbook/blob/main/patterns/agents/prompts/research_lead_agent.md
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Building Multi-Agent Research Systems: Anthropic Architecture
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Last Friday, Anthropic released a gem – How to build multi-agent research system. Over the weekends, our team had tried to re-create the same architecture, not exactly 1-1, but close to it. Here's how it works and what we've learnt:
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META-AGENTIC AGI ALPHA AGENT: End-to-End Autonomous Intelligence
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[ META-AGENTIC α‑AGI ] Mission End‑to‑end: Identify → Out‑Learn → Out‑Think → Out‑Design → Out‑Strategise → Out‑Execute Website: https://
agialphaagent.com GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… #AGIALPHA #MetaAgentic #ASIFirst -
Voyager SDK v1.2.5 Simplifies AI Model Deployment
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Tired of complicated AI setups?
Here's how you simplify it: https://
eu1.hubs.ly/H0kZRfl0
With Voyager SDK v1.2.5: Tap to autocomplete Copy-paste model from model zoo Get live results in seconds It’s AI deployment with Metis, made simple. #AItools #YOLOv5 #AIInference