by daydreamsai · MCP Server · ★ 619
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install @daydreamsai/core @ai-sdk/openai zod
npx create-daydreams-agent my-agentTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 619 |
| Forks | 138 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 25 |
| Last Updated | 2026-10-09 |
| Created | 2024-12-20 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
Daydreams - AI Agent Framework Notice: This agent framework is no longer the core focus as features are already obsolete. The Daydreams core focus is on Agentic Commerce and not the agent harness. Check out the lucid-agents repo: https://github.com/daydreamsai/lucid-agents We recommend the Pi agent harness for building agents and incorporating lucid-agents in it.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: