---
title: "agents vs opencode-swarm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/wshobson-agents-vs-zaxbyhub-opencode-swarm"
tools: ["wshobson-agents", "zaxbyhub-opencode-swarm"]
---

# agents vs opencode-swarm

*GraphCanon updated Sep 20, 2026*

## Verdict

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; pick opencode-swarm if opencode-Swarm is an architect-centric AI-driven development tool built with TypeScript that leverages an agent-swarm architecture to streamline code generation and quality assurance.

[agents](https://sethhobson.com) reports 40k GitHub stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. [opencode-swarm](https://github.com/ZaxbyHub/opencode-swarm) has 466 stars, 51 forks, and 57 open issues, last pushed Sep 11, 2026. Figures are from public GitHub metadata via [agents's repository](https://github.com/wshobson/agents) and [opencode-swarm's repository](https://github.com/ZaxbyHub/opencode-swarm).

| | [agents](/tools/wshobson-agents.md) | [opencode-swarm](/tools/zaxbyhub-opencode-swarm.md) |
| --- | --- | --- |
| Tagline | Multi-harness agentic plugin marketplace for various AI agents | Architect-centric agentic swarm plugin for OpenCode with code generation and QA review. |
| Stars | 39,823 | 466 |
| Forks | 4,246 | 51 |
| Open issues | 12 | 57 |
| Language | Python | TypeScript |
| 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 | Opencode-Swarm is an architect-centric AI-driven development tool built with TypeScript that leverages an agent-swarm architecture to streamline code generation and quality assurance. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT license allows for free use, modification, and distribution of the software. |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agents](/tools/wshobson-agents.md) | [opencode-swarm](/tools/zaxbyhub-opencode-swarm.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 12 | 57 |
| Stars delta | +895 (30d) | +31 (30d) |
| Open issues delta | +7 (30d) | -60 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/wshobson-agents/trust.md) | [trust report](/tools/zaxbyhub-opencode-swarm/trust.md) |

## Shared compatibility

- **Cursor**: [agents](/tools/wshobson-agents.md) - Works with Cursor; [opencode-swarm](/tools/zaxbyhub-opencode-swarm.md) - Works with Cursor

## 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

## Decision facts: opencode-swarm

- **Pricing:** freemium - Open-source project under MIT license is available freely; support services or advanced features might come with a cost not detailed.
- **Requirements:** Requires Bun for installation and configuration.; Installation automatically configures project settings, adjusts plugins, and overrides certain native agent functions to avoid conflicts.
- **Adopt for:** Opencode-Swarm is an architect-centric AI-driven development tool built with TypeScript that leverages an agent-swarm architecture to streamline code generation and quality assurance.
- **License detail:** MIT license allows for free use, modification, and distribution of the software.

## Choose when

### Choose agents if…

- agents is primarily Python; opencode-swarm is TypeScript.
- Tags unique to agents: agent-skills, agentic-ai, 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

### Choose opencode-swarm if…

- opencode-swarm is primarily TypeScript; agents is Python.
- Pricing: Open-source project under MIT license is available freely; support services or advanced features might come with a cost not detailed..
- Requirements: Requires Bun for installation and configuration.; Installation automatically configures project settings, adjusts plugins, and overrides certain native agent functions to avoid conflicts..
- Tags unique to opencode-swarm: agent-swarm, ai-agents, cli, code-review.
- opencode-swarm ships an MCP server manifest.
- When you need robust, automated orchestration of tasks like JWT auth helper generation paired with unit tests within a project.

## 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

## When NOT to use opencode-swarm

- If your workflow requires continuous real-time human oversight of individual agent operations, since Opencode-Swarm automates and reduces routing conflicts by disabling native agents.
- For teams unwilling to adopt new configuration files like `.opencode/opencode-swarm.json` that require specific project-level overrides setup.

## Common questions

### What is the difference between agents and opencode-swarm?

agents: Multi-harness agentic plugin marketplace for various AI agents. opencode-swarm: Architect-centric agentic swarm plugin for OpenCode with code generation and QA review.. See the comparison table for live GitHub stats and shared categories.

### When should I choose agents over opencode-swarm?

Choose agents over opencode-swarm when agents is primarily Python; opencode-swarm is TypeScript; Tags unique to agents: agent-skills, agentic-ai, 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 choose opencode-swarm over agents?

Choose opencode-swarm over agents when opencode-swarm is primarily TypeScript; agents is Python; Pricing: Open-source project under MIT license is available freely; support services or advanced features might come with a cost not detailed.; Requirements: Requires Bun for installation and configuration.; Installation automatically configures project settings, adjusts plugins, and overrides certain native agent functions to avoid conflicts.; Tags unique to opencode-swarm: agent-swarm, ai-agents, cli, code-review; opencode-swarm ships an MCP server manifest; When you need robust, automated orchestration of tasks like JWT auth helper generation paired with unit tests within a project.

### 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

### When should I avoid opencode-swarm?

If your workflow requires continuous real-time human oversight of individual agent operations, since Opencode-Swarm automates and reduces routing conflicts by disabling native agents. For teams unwilling to adopt new configuration files like `.opencode/opencode-swarm.json` that require specific project-level overrides setup.

### Is agents or opencode-swarm more popular on GitHub?

agents has more GitHub stars (39,823 vs 466). Stars measure visibility, not whether either tool fits your constraints.

### Are agents and opencode-swarm open source?

Yes - both are open-source projects on GitHub (agents: MIT, opencode-swarm: MIT).

### Where can I find alternatives to agents or opencode-swarm?

GraphCanon lists graph-backed alternatives at [agents alternatives](/tools/wshobson-agents/alternatives) and [opencode-swarm alternatives](/tools/zaxbyhub-opencode-swarm/alternatives) ([agents markdown twin](/tools/wshobson-agents/alternatives.md), [opencode-swarm markdown twin](/tools/zaxbyhub-opencode-swarm/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/wshobson-agents-vs-zaxbyhub-opencode-swarm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agents or opencode-swarm?

agents: Very active. opencode-swarm: 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 agents and opencode-swarm?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents trust report](/tools/wshobson-agents/trust); [opencode-swarm trust report](/tools/zaxbyhub-opencode-swarm/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=wshobson-agents`](/api/graphcanon/graph?tool=wshobson-agents)
- 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/_
