Trending GitHub projects on August 21, 2026
- 1▲1mattpocock/skills+3,368
Skills for Real Engineers. Straight from my .agents directory. Review coming soon
- 2▲2AprilNEA/OpenLogi+1,372
⚡️A native, local-first alternative to Logitech Options+, written in Rust — remap buttons, DPI, and SmartShift over HID++. No account, no telemetry. Review coming soon
- 3▼2
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow. Review coming soon
- 4▲6
Visualize your year in travel using your Google Location History (Timeline) data Review coming soon
- 5▲1
Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…) Review coming soon
- 6▲9
- 7▲1obra/superpowers+789
An agentic skills framework & software development methodology that works. Review coming soon
- 8▼3
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. Review coming soon
- 9▲8
Cuts token spend in coding agent sessions by shortening replies and compressing what the agent reads, without touching your prompts.
- 10▲11makeplane/plane+577
Open-source Jira, Linear, Monday, and ClickUp alternative. Plane is a modern project management platform to manage tasks, sprints, docs, and triage. Review coming soon
- 11▲5
Shared long-term memory for coding agents so you can switch harnesses or machines mid-task without re-explaining context.
- 12▲11
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation. Review coming soon
- 13▼1cursor/plugins+391
A plugin marketplace and spec for giving Cursor's coding agent reusable skills and third-party service integrations.
- 14▼5
A vector index built on TurboQuant, written in Rust with Python bindings Review coming soon
- 15▼4
- 16▲6PostHog/posthog+334
PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP. Review coming soon
- 17▲7
A Kubernetes runtime for running untrusted AI agents in isolated, snapshot-resumable sandboxes at high density.