loong
Rust foundation for building secure, high-performance AI agents
All Skills in This Repository (34)
Pure Emerald Level Indicatorsagent-browser
Automate web page navigation, interaction, and data extraction via Chrome DevTools Protocol.
systematic-debugging
Identifies root causes of software bugs via a four-phase investigation.
plan
Generate a structured markdown execution plan in the .hermes/plans/ directory.
find-skills
Search the skills.sh ecosystem using the Skills CLI to find and install relevant skills.
design-md
Generate a semantic DESIGN.md file from Stitch project design assets.
skill-creator
Create, modify, and evaluate AI skills with Claude tools.
mcporter
Invoke MCP servers and tools from the command line with JSON output.
native-mcp
Connect to external MCP servers and expose their tools as native Hermes Agent capabilities.
github-issues
Create, triage, and manage GitHub issues via the gh CLI or REST API.
xlsx
Generate, edit, and validate Excel workbooks with formula error repair.
Extract text and structured data from PDF files using Python libraries.
pptx
Extract, edit, and repack .pptx slide decks with XML validation.
Frequently Asked Questions
FAQPage SchemaHow to install Loong?▼
Run `npx skills add eastreams/loong --all -g -y` in your terminal to install all skills in this suite globally.
What is Loong used for?▼
Loong is a Rust foundation for building vertical AI agents that need strong security, predictable performance, and clean long-term architecture.
How does Loong keep AI agents safe?▼
It models outbound actions as typed capabilities and requires policy authorization before any sensitive operation executes, so unsafe actions are blocked by design.
Is Loong ready for production use?▼
Not yet. The repository is an early-stage architecture and contract skeleton, not a finished agent product you can deploy today.
Does Loong support OpenAI models?▼
Yes. It includes a dedicated OpenAI provider crate with streaming support, plus failover handling across providers.
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