OpenLlama @OpenLlama
Build The Largest Ai Developer Community Openllama openllama.com Joined September 2017-
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Fine-tuning LLM Agents without Fine-tuning LLMs Catchy title and very cool memory technique to improve deep research agents. Great for continuous, real-time learning without gradient updates. Here are my notes:
If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n. The choice you make here will define how far you can actually scale. Here’s everything you need to know (and what nobody is telling you):
Very impressed by this GenAI Agents repo. Not another “hello world agent” - it’s a full library of a number of agentic systems built with LangGraph, CrewAI, LangChain & more. From E2E testing agents to research assistants & controllable RAG workflows, it’s modular,…
We have a new comprehensive Model Context Protocol (MCP) documentation section, to help you connect your AI applications to external tools and data sources through a standardized interface. 🔌 Learn how MCP works - connecting LLMs to databases, tools, and services through a…
The AGENTS.md microsite is live! Think of it as a README for agents: a simple, open format for guiding coding agents. It’s been awesome to work alongside peers from @AmpCode, @cursor_ai, @julesagent, @FactoryAI, and @roo_code to bring this to life!
AGENTS.md is quickly becoming a popular way to share instructions with coding agents in your repo. Now supported in Cursor, Amp, Jules, Factory, RooCode, and Codex.
AGENTS.md is quickly becoming a popular way to share instructions with coding agents in your repo. Now supported in Cursor, Amp, Jules, Factory, RooCode, and Codex.
5 levels of Agentic AI systems, visually explained:
AI Agents are terrible at long-horizon tasks. Even the new GPT-5 model struggles with long-horizon tasks. This is one of the most pressing challenges when building AI agents. Pay attention, AI devs! This is a neat paper that went largely unnoticed. Here are my notes:
LLMs need focus, because attention isn't enough. (thread on the Focus Chain, Cline's link to persistent context)
Containerized versions of 450+ MCP servers! MCP Containers bundles hundreds of Model Context Protocol servers into ready-to-run Docker images—no setup headaches, no version drift. 100% open-source, and secure.
🚀 Amazing community project! vLLM CLI — a command-line tool for serving LLMs with vLLM: ✅ Interactive menu-driven UI & scripting-friendly CLI ✅ Local + HuggingFace Hub model management ✅ Config profiles for perf/memory tuning ✅ Real-time server & GPU monitoring ✅ Error…
meta or google offers the spatial layer, which means every move you make = data to sell think of it, your phone listens, your camera watches, your location is tracked - all to give "smart" answers. if your AI depends on big tech, that AI isn't yours, it's theirs. the reason…
How well can LLMs select the right MCP tool for solving real world tasks? Not good. LiveMCPBench is a new benchmark that evaluates agents on a large-scale, dynamic, and realistic set of 527 tools. It shows that most models struggle with tool retrieval and utilization leading to…
ByteDance presents Seed Diffusion A Large-Scale Diffusion Language Model with High-Speed Inference
ICLR 2026 will take place in 📍Rio de Janeiro, Brazil 📅 April 23–27, 2026 Save the date - see you in Rio! #ICLR2026

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