agents-cpp-sdk: A high performance C++ SDK for AI Agents

by RunEdgeAI · Codex Skill · ★ 77

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 71/100

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.

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.

agentic-aiagentsagents-sdkai-agentsai-agents-frameworkanthropicartificial-intelligencebazelcppedge-ai

Quick Facts

Stars77
Forks8
LanguageC++
CategoryCodex Skill
Quality Score71/100
Open Issues2
Last Updated2026-05-26
Created2025-10-04
Platformsgemini
Est. Tokens~6178k

About agents-cpp-sdk

[TOC] Agents-SDK - A High Performance C++ Framework for AI Agents Agents-SDK is a portable, high-performance C++ framework for building on-device, agentic AI systems — think LangChain for the edge. This SDK is purpose-built for developers who want to create local-first AI agents that can reason, plan, and act without relying on the cloud.

Compatible Skills

These tools work well together with agents-cpp-sdk for enhanced workflows:

  • InferrLM — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • gopher-mcp — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop (51%)

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How this security grade is produced

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:

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