Weekly Trending
Brainhuggers BureauGitHub Trending
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Tencent/teamai-cli
+563 this wk · 2.9k starsTencent/teamai-cli — shared harness, shared operating culture
TeamAI CLI is a team-oriented command-line tool that synchronises shared skills, rules, hooks, MCP configuration, and searchable knowledge across coding-agent runtimes.
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melgarafael/DeskcommCRM
+126 this wk · 1.3k starsDeskcommCRM: Agent-Assisted Sales Operations
DeskcommCRM is a self-hosted sales CRM with native AI agents, WhatsApp integration, and MCP readiness for conversation-led sales operations.
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nashsu/llm_wiki
+94 this wk · 18.1k starsnashsu/llm_wiki
llm_wiki is a desktop knowledge system that incrementally turns source documents into a traceable linked wiki with retrieval, graph analysis, agent skills, MCP, and a local API.
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openai/skills
+44 this wk · 25.6k starsOpenAI Skills Catalog / Portable Procedure Interface
OpenAI’s official Skills Catalog packages reusable Codex workflows as installable, versioned operational components.
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lightpanda-io/browser
34.8k starsLightpanda Browser
Lightpanda is a Zig-built headless browser for AI agents and automation. It supports CDP, WebDriver BiDi, native MCP, and replayable agent workflows.
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JustVugg/colibri
27.4k starsJustVugg/colibri
Colibri is a pure-C inference engine for running frontier mixture-of-experts models across VRAM, RAM, and disk through a local API with hardware-aware placement.
HF Papers
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PRISK
Evaluating the Hidden Costs of Personalization in Large Language Models
PRISK evaluates how profile- and memory-driven assistants can introduce irrelevant personal references, narrow preferences, and become sycophantic.
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Hugging Face Papers
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
This paper uses reinforcement learning with metacognitive feedback to align an LLM's expressed uncertainty more closely with its intrinsic uncertainty.
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Xiaomi-GUI-0 Technical Report
Xiaomi-GUI-0 Technical Report — the benchmark ends at the permission dialog
Xiaomi-GUI-0 trains and evaluates a multimodal mobile GUI agent in real-device closed loops, including failure recovery and memory data.
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Building to the Test
Building to the Test: Coding Agents Deliver What You Check, Not What You Requested
A study of coding agents finds that they can optimize for the validation tests available to them while leaving parts of the requested software underbuilt. It documents a Goodhart-like failure mode in evaluation-driven agent workflows.
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Program-as-Weights
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Program-as-Weights proposes compiling a natural-language specification into a compact, locally executable neural artifact for fuzzy functions.