by cerul-ai
Cerul — video memory infrastructure for AI products. SDKs, CLI, MCP, and developer integrations.
# Add to your Claude Code skills
git clone https://github.com/cerul-ai/cerulLast scanned: 5/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-30T16:16:29.958Z",
"npmAuditRan": true,
"pipAuditRan": true
}cerul is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by cerul-ai. Cerul — video memory infrastructure for AI products. SDKs, CLI, MCP, and developer integrations. It has 157 GitHub stars.
Yes. cerul passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/cerul-ai/cerul" and add it to your Claude Code skills directory (see the Installation section above).
cerul is primarily written in TypeScript. It is open-source under cerul-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh cerul against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Help AI understand, remember, and access video.
Video memory infrastructure for AI products.
Cerul turns video and other long-form media into searchable evidence and structured artifacts. This repository is the public integration surface for the Cerul platform.
The product implementation is private. This repository contains only:
cerul command-line client;Local and cloud runtimes use the same contract. Choose a base URL:
Cloud: https://api.cerul.ai/v1
Local: http://127.0.0.1:<dynamic-port>/v1
The local runtime requires its installation token. The cloud runtime accepts a
Workspace API key or OAuth access token. Call GET /v1/capabilities before
requesting optional capabilities; clients must not assume local and cloud
offer identical execution.
| Path | Purpose |
|---|---|
packages/js |
Generated TypeScript schema plus a small runtime client |
packages/python |
Python client and generated operation registry |
apps/cli |
CLI commands for search, ask, AgentSession, jobs, and export |
integrations/mcp |
Remote MCP projection of the Capability Registry |
integrations/claude-code |
Installable Claude Code integration |
corepack pnpm install --frozen-lockfile
corepack pnpm check
python3 -m unittest discover -s packages/python/tests
cargo test --manifest-path apps/cli/Cargo.toml --locked
The public OpenAPI and generated SDK surfaces are produced from the private
cerul-platform/contracts/openapi.yaml; they are not independently authored
here. See ARCHITECTURE.md for the publication boundary.
No package publishing, binary release, or production deployment occurs from a source change alone.