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Suno Breached via Shai-Hulud Worm, Leaked Code Exposes AI Music Scraping
A Shai-Hulud infection exposed Suno's source code, which shows the AI music startup stream-ripped tracks to train its models.
@affanshaikhsurab/agent-sdk
Advanced tools
Composable multi-agent SDK with CLI, memory/context systems, teams, and deterministic VCR testing.
A composable TypeScript/Bun SDK for building LLM agents with tools, memory/context, teams, and task orchestration.
npm install agent-sdk
For local development in this repository:
bun install
npm run build
Code understanding now runs as a native in-process capability when enabled.
jcodemunch and native-dart providers both resolve to NativeCodeUnderstandingAdapter.native-dart applies a Dart language preference for ranking, while keeping the same core capability surface.Operational limits are enforced to keep indexing bounded and predictable:
maxFiles (default 2500)maxFileSizeBytes (default 524288)maxTotalBytes (default 67108864)These limits can be tuned through code-understanding configuration.
import { createOrchestrator } from 'agent-sdk'
CommonJS:
const { createOrchestrator } = require('agent-sdk')
agent run "Summarize this repository"
agent run --file prompts.txt --output json
agent config init
bun run examples:smoke
bun run lab:lovable
bun run lab:web-ui
lab:lovable defaults to NVIDIA's OpenAI-compatible endpoint (https://integrate.api.nvidia.com/v1) and model z-ai/glm4.7.
It now includes a concrete AI app-builder scenario that writes outputs inside a per-run sandbox under examples-output/lovable-lab/, with app files in apps/todo-app-<run-id>/ and run artifacts in artifacts/.
Set credentials before running:
set NVIDIA_API_KEY=your_key_here
lab:web-ui starts a local Lovable-style demo UI at http://localhost:8788:
examples-output/lovable-web-studio/apps/.bun run docs:api
npm run bench:resilience
npm run bench:tasks-dag-stress
npm run bench:code-understanding-large-repo
Read the full architecture and usage guide here:
FAQs
Composable multi-agent SDK with CLI, memory/context systems, teams, and deterministic VCR testing.
We found that @affanshaikhsurab/agent-sdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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