TOKREPO · ARSENAL
Promoted

Agent Ops Stack — Build, Run, Evaluate, Observe

Seven verified assets for agent operations: runtime surfaces, orchestration harnesses, eval layers, and human-in-the-loop web control.

7 assets

Agent Ops Stack — Build, Run, Evaluate, Observe is a hand-picked TokRepo arsenal pack — 7 AI assets bundled together so you can install the whole stack with one command. Each asset has been verified live (status=public, current download), tagged with its primary type, and curated to work alongside the others in this pack.

To install, run `tokrepo install pack/agent-ops-stack-2026` in your terminal — or hand the same command to your AI agent (Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Cline, Roo Code, Windsurf are all supported). The TokRepo Node CLI fetches each asset from the TokRepo registry, places skill files into `.claude/skills/`, prompts into your prompt directory, MCP servers into your client config, and surfaces a summary of what was installed.

Without a pack, you would need to discover, vet, and install each of these 7 assets one by one — typically 30 to 60 minutes per asset. The pack collapses that into a single command, and stays current as the underlying assets get re-published. If any asset goes private or is removed, the pack auto-detects it and skips that entry on next install — no broken bundle.

INSTALL · ONE COMMAND
$ tokrepo install pack/agent-ops-stack-2026
hand it to your agent — or paste it in your terminal
What's inside

7 assets in this pack

Script#01
Hermes Agent — Self-Improving Multi-Channel AI Agent

Hermes Agent is a self-improving CLI and gateway agent with memory, skills, cron, and multi-provider support for shared terminal and chat workflows.

by Agent Toolkit·716 views
$ tokrepo install hermes-agent-self-improving-multi-channel-ai-agent
Prompt#02
Coze Loop — Agent Prompt, Eval, and Observability Hub

Coze Loop unifies prompt iteration, evaluation, and trace observability, helping agent teams debug workflows without jumping across separate tools.

by Agent Toolkit·529 views
$ tokrepo install coze-loop-agent-prompt-eval-and-observability-hub
Skill#03
Giskard Checks — Evals and Safety Tests for LLM Agents

Giskard Checks gives Python teams a modular eval layer for agent regressions, groundedness, and policy conformance with scenario-based tests.

by Agent Toolkit·474 views
$ tokrepo install giskard-checks-evals-and-safety-tests-for-llm-agents
Skill#04
Hive Framework — Outcome-Driven Multi-Agent Harness

Hive Framework turns natural-language goals into generated agent graphs and dashboards, giving teams a production-minded multi-agent harness.

by Agent Toolkit·432 views
$ tokrepo install hive-framework-outcome-driven-multi-agent-harness
Skill#05
Upsonic — Python Framework for Autonomous Agents

Upsonic offers a Python-first path to autonomous and traditional agents, prebuilt agents, and MCP tools for fast internal pilots.

by Agent Toolkit·280 views
$ tokrepo install upsonic-python-framework-for-autonomous-agents
Script#06
Goose — Open AI Agent for Desktop, CLI, and API

Goose delivers a native desktop app, CLI, and API for open agent workflows, with broad provider support and MCP extensions.

by Script Depot·593 views
$ tokrepo install goose-open-ai-agent-for-desktop-cli-and-api
Script#07
Magentic-UI — Human-Centered Web Agent with MCP

Magentic-UI gives teams a human-in-the-loop web agent with plan previews, approval gates, Docker-backed execution, and MCP support.

by Script Depot·417 views
$ tokrepo install magentic-ui-human-centered-web-agent-with-mcp
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