tag-agent 0.4.0

Orchestrate AI agents from your terminal — multi-source credential import, swarm topology, background queue, live dashboard

TAG

Orchestrate AI agents from your terminal.

Multi-provider routing • Profile-based orchestration • Zero-dependency bootstrap • Full TUI

---

Features

• Multi-provider routing — workers run on OpenRouter, Codex, Claude, Gemini, Mistral, Groq, DeepSeek, or any OpenAI-compatible endpoint; model and provider switch per profile
• Profile-based orchestration — four built-in roles (orchestrator, researcher, coder, reviewer) each with independent model, credential, and routing config
• Zero-dependency bootstrap — bundles Hermes v0.16.0; provisions a managed runtime on first run, no manual steps required
• Broad credential import — one command to pull keys from 10+ local AI tools: Claude Code, Gemini CLI, Codex, Continue.dev, Mistral Vibe, opencode, Zed, Cursor, GitHub Copilot, Aider, AWS Bedrock
• Full TUI — patched Hermes terminal UI with TAG skin; also works fully headless for CI and scripting
• Benchmark suite — built-in task runner with persistent history via tag benchmark / tag runs
• Escape hatch — tag hermes -- ... passes any command through to the underlying runtime

Install

Python (recommended):

pip install tag-agent

pipx (isolated, no venv management):

pipx install tag-agent

npm / pnpm:

npm install -g tag-agent
# or
pnpm add -g tag-agent

The npm package is a thin Node launcher. On first run it creates an isolated Python runtime under ~/.tag/npm-runtime/<version>. Python 3.11–3.13 must be on your PATH.

Requires Python 3.11 – 3.13.

Quick start

tag setup       # provision runtime, create profiles, import credentials
tag tui         # launch the full orchestrator TUI

Without the TUI:

tag submit --task-type mixed --execution direct --prompt "Summarise this repo"
tag benchmark --profile researcher --model-ref openrouter/deepseek/deepseek-v4-flash

Credential import

TAG detects and imports API keys from local AI tool configs with a single command. No keys are sent anywhere — they are written to the target profile's .env file only.

Command	Source
tag import-claude	ANTHROPIC_API_KEY env, ~/.claude/.credentials.json, ~/.claude.json
tag import-gemini	GEMINI_API_KEY env, ~/.gemini/.env, ~/.gemini/oauth_creds.json
tag import-codex	~/.codex/auth.json (OpenAI Codex CLI)
tag import-continue	~/.continue/config.yaml or config.json (all configured providers)
tag import-mistral	MISTRAL_API_KEY env, ~/.vibe/.env (Mistral Vibe CLI)
tag import-opencode	~/.local/share/opencode/auth.json (all configured providers)
tag import-zed	~/.config/zed/settings.json language_models.<provider>.api_key
tag import-copilot	GITHUB_TOKEN env, ~/.config/gh/hosts.yml (gh CLI)
tag import-aider	~/.aider.conf.yml, ~/.env, ~/.aider.env
tag import-aws	~/.aws/credentials (Amazon Bedrock / Q Developer)
tag import-cursor	Cursor's local SQLite store (BYOK API keys)

Each command accepts --profile <name> and --json for machine-readable output.

Command reference

Orchestration:

Command	Description
tag setup	Full first-run bootstrap — runtime, profiles, credentials
tag doctor	Check runtime health and configuration
tag tui	Launch the orchestrator TUI
tag tui --profile coder	Launch TUI inside a specific profile
tag submit	Submit a task for direct or Kanban execution
tag benchmark	Run the benchmark suite against a profile/model
tag runs	Show benchmark run history
tag bootstrap	Re-bootstrap profiles without full setup
tag update	Update the managed Hermes runtime
tag status	Show current profile and model status

Model management:

Command	Description
tag models --profile researcher	List available models for a profile
tag openrouter-models --profile researcher --search gemini	Search OpenRouter catalog
tag set-model --profile reviewer --ref openrouter/deepseek/deepseek-v4-pro	Set active model
tag assignments	Show all profile → model assignments

Pass-through commands (run inside a profile's managed environment):

tag chat --profile orchestrator -- --help
tag gateway --profile orchestrator -- start
tag kanban --profile orchestrator -- list
tag sessions --profile orchestrator -- list
tag skills --profile orchestrator -- list
tag plugins --profile orchestrator -- list
tag tools --profile orchestrator -- list
tag mcp --profile orchestrator -- list
tag logs --profile orchestrator -- --since 1h
tag memory --profile orchestrator -- status
tag model --profile orchestrator -- list
tag profile -- list
tag completion --profile orchestrator -- zsh
tag prompt-size --profile orchestrator

Full escape hatch:

tag hermes --profile orchestrator -- gateway start

Profiles

TAG ships five built-in profiles:

Profile	Role	Default model
orchestrator	Master — delegates tasks, routes results	openai-codex/gpt-5.4
researcher	Worker — web research and summarisation	openrouter/deepseek/deepseek-v4-flash
coder	Worker — implementation and refactoring	openrouter/qwen/qwen3-coder
reviewer	Worker + verifier — code review	openrouter/deepseek/deepseek-v4-pro
codex-runtime-master	Alternate master for Codex app-server flows	(Codex runtime)

Override the model for any profile:

tag set-model --profile coder --ref openrouter/anthropic/claude-sonnet-4-5

Task routing

Task type	Workers	Verifier	Execution
research	researcher	reviewer	Kanban
implementation	coder	reviewer	Kanban
review	reviewer	reviewer	Direct
mixed	researcher + coder	reviewer	Kanban

Configuration

State lives under ~/.tag/ by default:

~/.tag/
  config/tag.yaml
  config/benchmark-suite.yaml
  managed/hermes-agent-upstream/
  runtime/home/
  runtime/tag.sqlite3

export TAG_HOME=/custom/path   # override root

Requirements

• Python 3.11 – 3.13
• npm — required for the full TUI build on first run; not needed for submit / benchmark / model commands
• git — recommended for tag update on git-backed checkouts

Notes

• TAG does not require a pre-installed Hermes checkout. It provisions one from the bundled source snapshot on first run, and falls back to git clone only if the snapshot is unavailable.
• If a valid Hermes checkout is already present on the machine, TAG reuses it automatically.
• tag update is lifecycle-aware: on a bundled checkout it refreshes from the packaged snapshot; on a git-backed checkout it delegates to Hermes' own update flow.
• The npm distribution is a launcher wrapper around the Python package, not a Node reimplementation.
• Credential import commands only write to the target profile's local .env — no keys leave the machine.

License

MIT — see LICENSE.