--- title: "DeepSeek-Reasonix vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/esengine-deepseek-reasonix-vs-wshobson-agents" tools: ["esengine-deepseek-reasonix", "wshobson-agents"] --- # DeepSeek-Reasonix vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick DeepSeek-Reasonix if deepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable; 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. [DeepSeek-Reasonix](http://reasonix.io/) reports 35k GitHub stars, 2.3k forks, and 1.4k open issues, last pushed Aug 16, 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 [DeepSeek-Reasonix's repository](https://github.com/esengine/DeepSeek-Reasonix) and [agents's repository](https://github.com/wshobson/agents). | | [DeepSeek-Reasonix](/tools/esengine-deepseek-reasonix.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | DeepSeek-native AI coding agent for your terminal. | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 34,643 | 38,928 | | Forks | 2,303 | 4,145 | | Open issues | 1,433 | 5 | | Language | Go | Python | | Adopt for | DeepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable. | 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 | Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty. | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepSeek-Reasonix](/tools/esengine-deepseek-reasonix.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1.4k | 5 | | Stars delta | +7.5k (30d) | +860 (30d) | | Open issues delta | +202 (30d) | +2 (30d) | | Full report | [trust report](/tools/esengine-deepseek-reasonix/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: DeepSeek-Reasonix - **Requirements:** Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix. - **Adopt for:** DeepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable. - **License detail:** Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty. ## 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 DeepSeek-Reasonix if… - DeepSeek-Reasonix is primarily Go; agents is Python. - Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix.. - Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent. - - When your project heavily relies on continuous presence in the terminal for coding tasks ### Choose agents if… - agents is primarily Python; DeepSeek-Reasonix is Go. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - 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 DeepSeek-Reasonix - - Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors - - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages ## 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 DeepSeek-Reasonix and agents? DeepSeek-Reasonix: DeepSeek-native AI coding agent for your terminal.. 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 DeepSeek-Reasonix over agents? Choose DeepSeek-Reasonix over agents when DeepSeek-Reasonix is primarily Go; agents is Python; Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix.; Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent; - When your project heavily relies on continuous presence in the terminal for coding tasks. ### When should I choose agents over DeepSeek-Reasonix? Choose agents over DeepSeek-Reasonix when agents is primarily Python; DeepSeek-Reasonix is Go; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; 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 DeepSeek-Reasonix? - Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages ### 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 DeepSeek-Reasonix or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 34,643). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepSeek-Reasonix and agents open source? Yes - both are open-source projects on GitHub (DeepSeek-Reasonix: MIT, agents: MIT). ### Where can I find alternatives to DeepSeek-Reasonix or agents? GraphCanon lists graph-backed alternatives at [DeepSeek-Reasonix alternatives](/tools/esengine-deepseek-reasonix/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([DeepSeek-Reasonix markdown twin](/tools/esengine-deepseek-reasonix/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/esengine-deepseek-reasonix-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepSeek-Reasonix or agents? DeepSeek-Reasonix: Very active. 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 DeepSeek-Reasonix and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-Reasonix trust report](/tools/esengine-deepseek-reasonix/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=esengine-deepseek-reasonix`](/api/graphcanon/graph?tool=esengine-deepseek-reasonix) - 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/_