cerul-ai/cerul

cerul-ai-Profil

Letzte erfasste Quellaktivität: 8. Oktober 2026 um 15:26

SkillsMP-Katalog aktualisiert: 26. Oktober 2026 um 11:37

gesammelte Skills: 2

GitHub-Stars: 164
GitHub-Forks: 9

README des Repositorys

README-Quelldatei: README.md

README-Quelldatei lesen

Vollständige README anzeigen

<picture> <source media="(prefers-color-scheme: dark)" srcset="docs/assets/cerul-logo-dark.png"> <img src="docs/assets/cerul-logo-light.png" alt="Cerul" width="280"> </picture> Help AI understand, remember, and access video. Open-source video processing core and CLI. Use your own model endpoints, without a Cerul account. <a href="https://cerul.ai">Website</a> · <a href="docs/video-search.md">Quickstart</a> · <a href="docs/agent-setup.md">Install with an agent</a> · <a href="docs/configuration.md">Configuration</a> · <a href="https://x.com/cerul_hq">X / Twitter</a> · <a href="https://discord.gg/qHDEMQB9vN">Discord</a> <a href="https://github.com/cerul-ai/cerul/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/cerul-ai/cerul/ci.yml?branch=main&style=flat-square&logo=github&logoColor=white&label=build" alt="Build and tests"></a> <a href="https://github.com/cerul-ai/cerul/releases"><img src="https://img.shields.io/github/v/release/cerul-ai/cerul?style=flat-square&color=2160FA&label=release" alt="Latest release"></a> <img src="https://img.shields.io/badge/platform-macOS%20%7C%20Linux-1D2229?style=flat-square" alt="Platforms: macOS and Linux"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-1D2229?style=flat-square" alt="License: Apache-2.0"></a> <a href="https://discord.gg/qHDEMQB9vN"><img src="https://img.shields.io/badge/Discord-join-5865F2?style=flat-square&logo=discord&logoColor=white" alt="Join the Discord"></a> English · <a href="README.zh-CN.md">简体中文</a> · <a href="README.zh-TW.md">繁體中文</a> ## Search your videos with words Cerul turns local videos into a searchable library. Describe a moment, find text spoken or shown on screen, and save matching clips. It works with ordinary video folders, using your own model API key. - **Search by meaning or example.** Use a sentence or a reference image. - **Find speech and screen text.** Transcription plus local, embedded OCR. - **Keep useful results.** Export clips and structured semantic annotations. - **Resume where you left off.** Completed work is cached; rerun after interruption. ## Getting started Cerul is a command-line tool for searching videos and saving clips. The download includes the media tools and OCR models it needs. Supports **macOS Apple Silicon** and **Linux x86_64 (Ubuntu 24.04 or newer)**. ### 1. Install ```sh curl -fsSL https://cerul.ai/install.sh | sh ``` Later, `cerul upgrade` installs the newest release over this one and leaves your workspace, key, and annotations alone. ### 2. Add a video ```sh cerul index ./demo.mp4 ``` On first use, follow the prompt to enter your [Gemini API key](https://aistudio.google.com/apikey), or save one ahead of time with `cerul auth set`. Cerul keeps it on your computer for future runs. > [!IMPORTANT] > Model processing sends your video data to Gemini and may incur API charges. > Run any command with `--dry-run` first to see exactly what will be sent. Run `cerul` on its own at any time to see what is indexed and what to do next. ### 3. Search and save clips ```sh cerul search "A person puts a cup on the table" cerul search "A person puts a cup on the table" --save ./clips ``` Each result is a card with the match percentage, the time range, and a link. In iTerm2, Ghostty, Kitty, or WezTerm it also shows a still frame of the moment; add `--no-preview` to turn that off. With [IINA](https://iina.io) installed the link opens the video at the matched moment instead of the beginning. Results are numbered, so `cerul open 2` plays the second moment in your video player without leaving the terminal. <details> <summary>Cleaning up</summary> ```sh cerul remove ./demo.mp4 # remove its index and sidecars; keep the video cerul remove --cache # free regenerable disk space ``` Shell completions live in the [installation guide](docs/installation.md#shell-completions). </details> [More examples →](docs/video-search.md) ## Robotics workflows Robot demonstration labels, human-hand tracking, LeRobot datasets and annotated review videos are maintained in [Cerul Robotics](https://github.com/cerul-ai/cerul-robotics). See the [migration guide](docs/robotics-migration.md) for commands and existing data. ## Let your agent do the setup Copy this prompt into an agent that can use a terminal: ```text Install Cerul by following https://github.com/cerul-ai/cerul/blob/main/docs/agent-setup.md. Help me set up my Gemini API key securely, search a local video, and save a matching clip. Teach me the commands in my language. ``` Agents that read skills can learn the whole command line from Cerul itself: ```sh cerul skill --install claude # also: codex, pi, or --dir ./skills ``` [Agent setup guide →](docs/agent-setup.md) · [Agent contract →](docs/agent.md) ## Common commands | Goal | Command | When to reach for it | | --- | --- | --- | | Index a folder | `cerul index ./videos` | Walks subfolders and skips work already done | | Preview the work | `cerul --dry-run index ./videos` | See the plan, and what will call a model, before paying for it | | Check progress | `cerul status` | After an interruption, or to find where sidecars live | | Search one video | `cerul search "opening a door" --in ./demo.mp4` | Skip the rest of the library | | Replay a result | `cerul open 2` | Open a numbered match in your video player | | Cut clips by intent | `cerul clip ./talk.mp4` | Propose quoted moments across every angle, then `--export 1,3` renders them with captions | Sidecar files preserve transcripts, annotations, and vectors alongside your media. Search indexes can be rebuilt from them without model calls. LeRobot subtask writeback is available as an explicit opt-in. ## Configure models Cerul calls your own model endpoints, so you pick the providers and pay for your own usage. Run `cerul config` to change any of it. | Stage | Default | Alternatives | | --- | --- | --- | | Multimodal search | Gemini Embedding 2, at 3072 dimensions | Any configured endpoint | | Speech transcription | Gemini, whenever a key is available | Groq, OpenAI, an OpenAI-compatible service, or disabled | | Screen text (OCR) | Runs locally, no API calls | — | Indexing builds video and text search data without generating scene descriptions, chapters, or summaries. Use `cerul analyze ./video.mp4` for scenes and an overview, with Robotics for embodied semantic labels. `--no-audio` skips speech independently of everything else. [Model endpoints and credentials →](docs/configuration.md) · [Inspect saved output →](docs/video-search.md#inspect-video-understanding) ## How it works Indexing encodes video, screen text, and optional speech into a shared multimodal space. Independent visual generation produces timed annotations for actions, interactions, and state changes, including embodied and egocentric recordings. ![Proposed Cerul architecture: multimodal indexing and search, with an independent egocentric annotation pipeline](docs/assets/cerul-architecture.png) *Architecture with AI-generated illustrative frames. Default search combines independent video, speech, screen-text, and description candidates with gated full-text matches using max fusion and capped agreement. Original evidence and timestamps remain inspectable. Robotics owns dataset writeback. See [DESIGN.md](DESIGN.md) for implemented behavior.* ## Learn more - [Documentation index](docs/README.md) - [Installation and troubleshooting](docs/installation.md) - [Video search tutorial](docs/video-search.md) - [Explicit video analysis](docs/analyze.md) - [LeRobot tutorial](https://github.com/cerul-ai/cerul-robotics/blob/main/docs/lerobot-subtasks.md) - [Model endpoints and configuration](docs/configuration.md) - [Contributing and developer integration](CONTRIBUTING.md) ## Community Questions, bug reports, and clips you are proud of are all welcome. [Discord](https://discord.gg/qHDEMQB9vN) · [Issues](https://github.com/cerul-ai/cerul/issues) · [X / Twitter](https://x.com/cerul_hq) ## License Cerul's Rust code is Apache-2.0. Bundles also contain separately licensed media tools and OCR weights; see [third-party notices](THIRD_PARTY_NOTICES.md). The [Cerul name and logo](docs/assets/README.md) identify the project and do not imply endorsement of third-party products. <a href="https://star-history.com/#cerul-ai/cerul&Date"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=cerul-ai/cerul&type=Date&theme=dark"> <img src="https://api.star-history.com/svg?repos=cerul-ai/cerul&type=Date" alt="Star history chart for cerul-ai/cerul" width="600"> </picture> </a>

README des Repositorys wird geladen…

Skills in diesem Repository

Klassifizierung ausstehend

Skill

Beruf

Beschreibung

Aktualisiert

cerul

nicht klassifiziert

Search local videos by meaning, exact words or reference image, analyze scenes, and export clips using the cerul CLI.

Quellsprache: Englisch

2026-10-08

cerul

nicht klassifiziert

Search local videos by meaning, exact words or reference image, analyze scenes, and export clips using the cerul CLI.

Quellsprache: Englisch

2026-10-08

Es werden 2 von 2 gesammelten Skills angezeigt.

Mit einem KI-Assistenten installieren

Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/cerul-ai/cerul.