If yesterday's GitHub trending showed AI agents getting smarter at writing code, today's leaderboard shows them getting to work on video studios, creative timelines, and security operations. The common thread: teams are moving past single-model prompting toward fully orchestrated workflows where AI handles end-to-end production pipelines, not just individual tasks.
OpenMontage: An Agent That Runs a Whole Film Production
OpenMontage is the first open-source agentic video production system, and its scope is ambitious — 52 specialized tools organized across 12 distinct production pipelines, covering everything from research and scripting through asset generation, editing, and final render. It earned nearly 3,000 new stars today, which suggests it hit a real pain point: AI video workflows have been fragmented across too many separate APIs and tools. OpenMontage wraps them into a unified agent you describe your goal to, and it handles provider selection, budget governance, and quality gates at each stage. Notably, it can generate complete videos using open archives and a free TTS engine with zero API keys required.
github.com/calesthio/OpenMontage
Palmier Pro: An AI-First Video Editor Built for macOS
Where OpenMontage is all about automation, Palmier Pro is about collaboration — a native macOS video editor where you and an AI agent work on the same timeline together. Built in Swift from scratch, it supports state-of-the-art generative models like Seedance and Kling directly in the editing interface, so you can generate clips, adjust footage, and render final output without ever leaving the app. Its MCP server integration means Claude, Cursor, and other tools can read and write the project state in real time, treating the editor as a shared workspace rather than a black box. The core editor and MCP server are GPLv3 open source, with paid tiers for the generative AI features. It picked up over 2,400 stars today.
github.com/palmier-io/palmier-pro
Anthropic Cybersecurity Skills: 817 Expert Workflows for Security Agents
This project takes a structured approach to a problem that's easy to underestimate: AI assistants are good at general reasoning, but security work demands precise, step-by-step procedures tied to specific frameworks and compliance requirements. The mukul975/Anthropic-Cybersecurity-Skills repo provides 817 pre-built workflows spanning 29 security domains — cloud security, threat hunting, forensics, malware analysis, incident response, and more — each mapped to six industry frameworks including MITRE ATT&CK, NIST CSF 2.0, and MITRE D3FEND. Every workflow includes prerequisites, an execution procedure, and verification steps, so an agent following them is doing work a practitioner would recognize as correct. It's compatible with Claude Code, GitHub Copilot, Cursor, and 26 other platforms via the agentskills.io standard, and earned nearly 1,000 new stars today.
github.com/mukul975/Anthropic-Cybersecurity-Skills
Firecrawl: Web at Scale, Still Climbing
Firecrawl, the API platform for searching, scraping, and interacting with the web at scale, added another 615 stars today and sits at over 137,000 total — a steady climb that reflects how central reliable web data access has become to AI agent stacks. As more agents need to read, monitor, or extract structured data from the live web, Firecrawl has positioned itself as a foundational layer: one API, consistent output, built for automation. It's worth keeping on the radar as the "web connector" category continues to consolidate.