--- title: "uzi vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devflowinc-uzi-vs-wshobson-agents" tools: ["devflowinc-uzi", "wshobson-agents"] --- # uzi vs agents *GraphCanon updated Aug 25, 2026* ## Verdict Pick uzi if uzi is a CLI tool written in Go that facilitates running multiple AI code generation agents in parallel through the management of Git worktrees; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [uzi](https://uzi.sh) reports 582 GitHub stars, 27 forks, and 9 open issues, last pushed Jun 4, 2025. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [uzi's repository](https://github.com/devflowinc/uzi) and [agents's repository](https://github.com/wshobson/agents). | | [uzi](/tools/devflowinc-uzi.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | CLI for running large numbers of coding agents in parallel with git worktrees | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 582 | 38,928 | | Forks | 27 | 4,145 | | Open issues | 9 | 5 | | Language | Go | Python | | Adopt for | uzi is a CLI tool written in Go that facilitates running multiple AI code generation agents in parallel through the management of Git worktrees. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uzi](/tools/devflowinc-uzi.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 446d | 1d | | Open issues (now) | 9 | 5 | | Stars delta | +3 (30d) | +860 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/devflowinc-uzi/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: uzi - **Adopt for:** uzi is a CLI tool written in Go that facilitates running multiple AI code generation agents in parallel through the management of Git worktrees. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose uzi if… - uzi is primarily Go; agents is Python. - Tags unique to uzi: codegen, llm-inference, parallelization. - When you need to manage and execute multiple coding tasks driven by AI concurrently without manual oversight, uzi's automation capabilities ensure efficient workflow management. ### Choose agents if… - agents is primarily Python; uzi is Go. - Tags unique to agents: agent-skills, automation, prompt-engineering, workflows. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use uzi - Avoid using uzi if your project does not benefit from parallel task execution or if the code generation does not require branching through Git; its strength lies in large-scale concurrent operations. - Do not use uzi if your workflow is more suited to a single-threaded environment or if direct interaction and manual management of AI coding agents are preferred over automated orchestration. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between uzi and agents? uzi: CLI for running large numbers of coding agents in parallel with git worktrees. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose uzi over agents? Choose uzi over agents when uzi is primarily Go; agents is Python; Tags unique to uzi: codegen, llm-inference, parallelization; When you need to manage and execute multiple coding tasks driven by AI concurrently without manual oversight, uzi's automation capabilities ensure efficient workflow management. ### When should I choose agents over uzi? Choose agents over uzi when agents is primarily Python; uzi is Go; Tags unique to agents: agent-skills, automation, prompt-engineering, workflows; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid uzi? Avoid using uzi if your project does not benefit from parallel task execution or if the code generation does not require branching through Git; its strength lies in large-scale concurrent operations. Do not use uzi if your workflow is more suited to a single-threaded environment or if direct interaction and manual management of AI coding agents are preferred over automated orchestration. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is uzi or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 582). Stars measure visibility, not whether either tool fits your constraints. ### Are uzi and agents open source? Yes - both are open-source projects on GitHub (uzi: MIT, agents: MIT). ### Where can I find alternatives to uzi or agents? GraphCanon lists graph-backed alternatives at [uzi alternatives](/tools/devflowinc-uzi/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([uzi markdown twin](/tools/devflowinc-uzi/alternatives.md), [agents markdown twin](/tools/wshobson-agents/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/devflowinc-uzi-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, uzi or agents? uzi: Dormant. agents: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for uzi and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uzi trust report](/tools/devflowinc-uzi/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=devflowinc-uzi`](/api/graphcanon/graph?tool=devflowinc-uzi) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_