Reading
TAG is a terminal AI agent orchestration tool built on the Hermes runtime. It supports features like multi-provider routing, native kanban layer, background task queue, and Swarm cluster topology, providing developers with full AI workflow management capabilities from task submission to cluster coordination.
Section 01
TAG is a terminal AI agent orchestration tool built on the Hermes runtime. It supports features like multi-provider routing, native kanban layer, background task queue, and Swarm cluster topology, providing developers with full AI workflow management capabilities from task submission to cluster coordination.
Section 02
Section 03
With the rapid development of AI Agent technology, developers' demand for efficient and flexible agent orchestration tools is growing. Traditional AI tools are often limited to a single provider or specific use cases, making it difficult to meet the orchestration needs of complex workflows. The TAG project was born to provide developers with a unified terminal entry point for flexible scheduling of multi-provider AI models and coordinated management of agent clusters.
TAG is built on the Hermes runtime and adopts an architecture design that separates the management plane from the execution plane. This allows some core functions (such as task queue, kanban management, and credential import) to run offline without an API key, significantly improving the tool's usability and security.
Section 04
TAG uses a two-layer architecture to effectively decouple management and execution functions:
Section 05
Built on SQLite and can run without an API key:
Section 06
Built on the Hermes gateway and requires an API key:
This architecture design allows users to perform operations like task queuing, kanban management, and credential import without an active API key, greatly lowering the barrier to use.
Section 07
TAG supports a wide range of AI model providers, allowing users to flexibly choose based on task characteristics:
Each profile can independently configure models, credentials, and routing strategies to achieve refined resource management.
Section 08
TAG provides a one-click credential import function, supporting automatic extraction of API keys from more than 10 local AI tools:
| Command | Source Tool |
|---|---|
tag import-claude |
Claude Code |
tag import-gemini |
Gemini CLI |
tag import-codex |
OpenAI Codex CLI |
tag import-continue |
Continue.dev |
tag import-mistral |
Mistral Vibe CLI |
tag import-copilot |
GitHub Copilot |
tag import-aider |
Aider |
tag import-aws |
Amazon Bedrock |
tag import-cursor |
Cursor |
All import operations only write keys to the .env file of the local profile, ensuring credentials never leave the user's machine.
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