agentao
Governed local runtime with permissions, memory, and plugins
All Skills in This Repository (9)
Pure Emerald Level Indicatorsmatplotlib-charts
Generate standardized PNG charts with matplotlib for headless workflows.
duckdb-analyst
Query local Parquet files with DuckDB and return SQL statements.
daily-digest
Compile daily markdown digests from GitHub commits and Hacker News stories.
ocr
Extract text from image files using the Qwen VL OCR model.
pro-ppt
Generate standardized 16:9 2K business presentation slides from speech drafts.
zootopia-ppt
Convert presentation scripts into 3D animated anthropomorphic animal slides.
kanban-tasks
Break down feature requirements into atomic task cards with acceptance criteria.
support-triage
Automate inbound support ticket triage and routing with policy enforcement.
skill-creator
Automate creation, testing, and optimization of Claude Code skills.
Frequently Asked Questions
FAQPage SchemaHow to install Agentao?โผ
Run `npx skills add jin-bo/agentao --all -g -y` in your terminal to install all skills in this suite globally.
What does Agentao do?โผ
It is a local-first Python runtime that runs model-driven workflows with permission modes, tool confirmation, persistent memory, and session replay. You can use it as an interactive CLI or embed it in your own Python app.
How does Agentao keep automated runs safe?โผ
Every tool call passes through a permission engine with read-only, workspace-write, full-access, and plan modes, plus optional macOS sandboxing. Nothing executes without matching your configured rules.
Can Agentao connect to external services?โผ
Yes. It supports MCP servers over stdio, HTTP, and SSE, plus an ACP protocol for full agent-to-agent communication and a plugin system for extensions.
Which model providers work with Agentao?โผ
Any OpenAI-compatible provider works, including Anthropic, Gemini, and DeepSeek. Set the API key, base URL, and model name in your environment or .env file.
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