Weekly Trending
Brainhuggers BureauGitHub Trending
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Graphify-Labs graphify
+1k this wk · 84.6k starsGraphify / Multimodal Repository Knowledge Graph Skill
Graphify is an agent skill for Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and related tools that turns code, schemas, documents, papers, images, and videos into a queryable knowledge graph.
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destructive_command_guard
+444 this wk · 2.8k starsdestructive_command_guard
destructive_command_guard is a local enforcement layer that blocks dangerous git and shell commands before coding agents can execute them.
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PostHog
+146 this wk · 35.8k starsPostHog/posthog
Open-source product analytics is being reframed around self-driving products, AI observability, session replay, experiments, workflows, and MCP access.
HF Papers
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Long-Horizon-Terminal-Bench
Long-Horizon-Terminal-Bench / Dense Reward Grading for Terminal Agents
Long-Horizon-Terminal-Bench evaluates terminal agents on long tasks using dense intermediate reward signals, measuring progress through planning, context handling, iterative debugging, multimodal analysis, and software-engineering work rather than only final success.
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Hugging Face Papers
LightMem-Ego: Your AI Memory for Everyday Life
Everyday perception becomes a streaming, queryable memory substrate for phones and AI glasses, split into current, short-term, and long-term memory.
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Hugging Face Papers
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Agentic visual generation gets a search reasoner that decides when the image model lacks world knowledge, filters noisy references, and integrates evidence into generation.
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Hugging Face Papers
Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable
A research paper about making evolving AI agent harnesses readable, navigable, and editable by linking prompts, state, tool calls, behavior traces, and orchestration code to safe edit targets.
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Hugging Face Papers
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
SearchOS-V1 proposes a multi-agent open-domain search system with shared state: frontier tasks, an evidence graph, a coverage map, failure memory, middleware, and reusable hierarchical search skills.