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Deep reference on Omnigent config format, executor types, skill/tool structure, and conventions. Load when you need to look up how the platform works.

AI & Automation 7,797 stars 1139 forks Updated today Apache-2.0

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# Omnigent Knowledge Base ## What is Omnigent? Agent plane is a server that hosts, manages, and executes agents via an OpenResponses-compatible API. Users create **agent directories** (also called agent images) that contain configuration, instructions, skills, and tools. The server loads these directories and serves them via HTTP. ## Agent Directory Layout ``` my-agent/ ├── config.yaml # REQUIRED — agent spec ├── AGENTS.md # Recommended — instructions/personality ├── skills/ # Optional — load-on-demand skills │ └── <skill-name>/ │ └── SKILL.md ├── tools/ # Optional — packaged tools │ ├── python/ # Local Python tools (auto-discovered *.py) │ ├── typescript/ # Local TypeScript tools (auto-discovered *.ts) │ └── mcp/ # MCP server declarations (*.yaml) └── agents/ # Optional — sub-agent directories (recursive) └── <agent-name>/ ├── config.yaml └── ... ``` ## config.yaml Reference The only required file. All fields except `spec_version` are optional. ```yaml spec_version: 1 # REQUIRED, must be 1 name: my-agent # Display name description: Does X and Y. # One-line summary # Instructions — path to a file or inline text. # Default: looks for AGENTS.md in the agent directory. instructions: AGENTS.md executor: # REQUIRED area. type must be one of: claude_sdk | agents_sdk | omnigent. # There is NO `llm` executor type. type...

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Author
omnigent-ai
Repository
omnigent-ai/omnigent
Created
1 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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