MoltBrain
Repository: MoltBrain
Author: nhevers · Source status: Clear source
Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.
Score basis:Clear source · Risk needs review · Universal
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: MoltBrain
Author: nhevers · Source status: Clear source
Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.
Score basis:Clear source · Risk needs review · Universal
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Audit score, evidence confidence, trust score, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Moltbrain-virtuals
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
ccNexus
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | Moltbrain-virtuals | ccNexus |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap |
Evidence confidence | 67% | 65% |
| Source & provenance | ||
Provenance | nhevers/Moltbrain-virtuals | lich0821/ccNexus |
Freshness | 2026-02-26 | 2026-03-23 |
| Risk & trust | ||
Trust score | 74 | 82 |
| Community | ||
Stars | 17 | 816 |
Repository: agentic-ai-engineering
Author: agenticloops-ai · Source status: Clear source
Hands-on tutorials for building AI agents from scratch.
Score basis:Clear source · Low risk signals · Universal
Repository: inkbox
Author: inkbox-ai · Source status: Clear source
SDK, skills, and examples for Inkbox: give your AI agents identities, inboxes, phone numbers, and encrypted vaults.
Score basis:Clear source · Low risk signals · Universal
Repository: mcp-for-beginners
Author: microsoft · Source status: Clear source
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.
Score basis:Clear source · Low risk signals · Universal