--- title: "tabby vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tabbyml-tabby-vs-wshobson-agents" tools: ["tabbyml-tabby", "wshobson-agents"] --- # tabby vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick tabby if tabbyML tabby is an open-source self-hosted AI coding assistant written in Rust to enhance developer experience and code generation; 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. [tabby](https://tabbyml.com) reports 34k GitHub stars, 1.8k forks, and 329 open issues, last pushed Jun 30, 2026. [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 [tabby's repository](https://github.com/TabbyML/tabby) and [agents's repository](https://github.com/wshobson/agents). | | [tabby](/tools/tabbyml-tabby.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Self-hosted AI coding assistant | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 33,811 | 38,928 | | Forks | 1,780 | 4,145 | | Open issues | 329 | 5 | | Language | Rust | Python | | Adopt for | TabbyML tabby is an open-source self-hosted AI coding assistant written in Rust to enhance developer experience and code generation. | 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 | Other | MIT | | Categories | Developer Tools, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tabby](/tools/tabbyml-tabby.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 32d | 1d | | Open issues (now) | 329 | 5 | | Stars delta | Unknown | +860 (30d) | | Open issues delta | Unknown | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/tabbyml-tabby/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: tabby - **Adopt for:** TabbyML tabby is an open-source self-hosted AI coding assistant written in Rust to enhance developer experience and code generation. ## 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 tabby if… - tabby is primarily Rust; agents is Python. - License: tabby is Other, agents is MIT. - Tags unique to tabby: ai, codegen, coding-assistant, coding-language. - Also covers Model Training. - Intended for organizations that prefer having full control over their AI tools' data and operations by enabling self-hosting. ### Choose agents if… - agents is primarily Python; tabby is Rust. - License: agents is MIT, tabby is Other. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - Also covers AI Agents. - 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 tabby - Not ideal if your team lacks the resources or expertise to manage a self-hosted solution. - Inadequate if you seek the ease and convenience of cloud-based services without the overhead of local setup and maintenance. ## 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 tabby and agents? tabby: Self-hosted AI coding assistant. 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 tabby over agents? Choose tabby over agents when tabby is primarily Rust; agents is Python; License: tabby is Other, agents is MIT; Tags unique to tabby: ai, codegen, coding-assistant, coding-language; Also covers Model Training; Intended for organizations that prefer having full control over their AI tools' data and operations by enabling self-hosting. ### When should I choose agents over tabby? Choose agents over tabby when agents is primarily Python; tabby is Rust; License: agents is MIT, tabby is Other; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; 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 tabby? Not ideal if your team lacks the resources or expertise to manage a self-hosted solution. Inadequate if you seek the ease and convenience of cloud-based services without the overhead of local setup and maintenance. ### 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 tabby or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 33,811). Stars measure visibility, not whether either tool fits your constraints. ### Are tabby and agents open source? Yes - both are open-source projects on GitHub (tabby: Other, agents: MIT). ### Where can I find alternatives to tabby or agents? GraphCanon lists graph-backed alternatives at [tabby alternatives](/tools/tabbyml-tabby/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([tabby markdown twin](/tools/tabbyml-tabby/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/tabbyml-tabby-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tabby or agents? tabby: Steady. 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 tabby and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tabby trust report](/tools/tabbyml-tabby/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tabbyml-tabby`](/api/graphcanon/graph?tool=tabbyml-tabby) - 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/_