[ 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
AGENTS
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Alpha-Factory v1: Meta-Agentic AGI Framework Launch
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Security Risks of Local LLM Agents vs Web-Based Interfaces
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I should clarify that the risk is highest if you're running local LLM agents (e.g. Cursor, Claude Code, etc.). If you're just talking to an LLM on a website (e.g. ChatGPT), the risk is much lower *unless* you start turning on Connectors. For example I just saw ChatGPT is adding
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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, -
Claude’s Capability to Analyze Complex Publications and Social Situations
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Claude, of course, can read high status publications and reason about complex social situations.
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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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Writer Agent: Turning Raw Findings Into Structured Reports
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Writer Agent Act as a research writer that turn raw findings into a clear, structured Markdown report. Preserve all context and citations. We find Gemini to be the best for this, thanks to its large context window that allows it to synthesize all the findings effectively.
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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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Subagents: Spawning Focused Research Tasks with Parallel Capabilities
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🖧 Subagents For each task in the tasklist, a new subagent will be spawned to conduct focused research. Each subagent has:
– Clear task understanding capabilities
– Efficient research planning (2-5 tool calls per task)
– Source quality evaluation
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Multi-Agent AI Research System: Planner, Subagents, Writer
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Overview Planner Agent – analyzes the research query and generates a list of specialized research tasks 🖧 Subagents – creates multiple research subagents, conduct focused research using web search, web scrape, and arxiv tools Writer Agent – synthesizes all findings into