makecindy
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cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It uniquely bridges professional timeline editing with conversational AI agents and the MCP protocol, allowing both manual and AI-driven edits in a single continuously editable project with local-first privacy.
Who it is for
- Video editors who want AI assistance without losing manual control
- Developers seeking to automate video editing via MCP (Codex, Claude Code)
- Content creators needing fast multiformat assembly and short-form video
- Teams requiring transcript-driven talking-head or interview editing
Use cases
- Transcribe audio or video and remove pauses/mistakes via text, then auto-generate captions
- Import mixed media and let an agent create a rough cut with transitions and soundtrack
- Reframe canvas and generate titles, captions, voice-over, and music for social media content
- Let Codex or Claude Code inspect and modify a real video project through MCP tools
Strengths
- Real multitrack timeline with undo/redo, transitions, effects, keyframes, and markers
- Agent-native design: built-in agent and external MCP clients share the same editing tools
- Local-first: projects and media stay on your machine by default; API keys remain server-side
- Transcript-driven editing with word-level precision, pause handling, speaker identification, and linked captions
Considerations
- Early-stage software under active development; project format and tools may evolve
- macOS installers are not signed/notarized, requiring manual approval on first launch
- Cloud features (AI models, transcription, online media) require manual configuration of external services
README quick start
Quick Start
Description
Local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion-powered rendering.
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