TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15399 · Jan 7
#python#agent#agent_framework#browsecomp#deep_research#futurex#gaia#hle#research_agent#search_agent#xbench MiroThinker v1.5 is the top open-source AI search agent with a 256K context window and up to 400 tool calls per task for deep web research, code execution, and multi-step reasoning. It leads benchmarks like HLE-Text (39.2%), BrowseComp (69.8%), and GAIA (80.8%), beating other free agents at low cost. You benefit by getting accurate, real-world research help—like finding arXiv papers or solving complex queries—faster and cheaper than paid tools, with full open-source access on GitHub and Hugging Face. https://github.com/MiroMindAI/MiroThinker
Search: #planning
@amazingeo · Post #212 · 09/10/2025, 04:12 PM
🌍 Milan has over 3 million trees as part of its city plan, giving it more trees than people. Urban forests like this reduce heat, clean air, and boost well-being for city residents. ✨ #cities⚡#sustainability⚡#planning⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@amazingeo · Post #104 · 08/23/2025, 08:12 PM
🌍 Hong Kong’s extensive network of elevated walkways—some stretching over 800 meters—lets people travel between major buildings without ever touching the street, maximizing space in the crowded city. ✨ #urban⚡#planning⚡#cityscape⚡#infrastructure⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@githubtrending · Post #14639 · 04/27/2025, 01:00 PM
#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S