Home/Compare/DeepSeek-Reasonix vs agents

Comparison

DeepSeek-Reasonix vs agents

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.

Markdown twin · DeepSeek-Reasonix alternatives · agents alternatives

GraphCanon updated 1d

DeepSeek-Reasonix logo

DeepSeek-Reasonix

esengine/DeepSeek-Reasonix

35kpushed Aug 16, 2026
vs
agents logo

agents

wshobson/agents

39kpushed Aug 18, 2026

Trust & integrity

SignalDeepSeek-Reasonixagents
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Very active (1d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

DeepSeek-Reasonix
DeepSeek-native AI coding agent for your terminal.
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

DeepSeek-Reasonix
35k
agents
39k

Forks

DeepSeek-Reasonix
2.3k
agents
4.1k

Open issues

DeepSeek-Reasonix
1.4k
agents
5

Language

DeepSeek-Reasonix
Go
agents
Python

Adopt for

DeepSeek-Reasonix
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.
agents
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

DeepSeek-Reasonix
-
agents
-

Runtime

DeepSeek-Reasonix
-
agents
-

License

DeepSeek-Reasonix
Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty.
agents
MIT

Last pushed

DeepSeek-Reasonix
Aug 16, 2026
agents
Aug 18, 2026

Categories

DeepSeek-Reasonix
AI Agents, Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Days since push

DeepSeek-Reasonix
0d
agents
1d

Open issues (now)

DeepSeek-Reasonix
1.4k
agents
5

Stars delta

DeepSeek-Reasonix
+7.5k (30d)
agents
+860 (30d)

Open issues delta

DeepSeek-Reasonix
+202 (30d)
agents
+2 (30d)

Full report

DeepSeek-Reasonix
Trust report

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

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

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DeepSeek-Reasonix 35k · agents 39k (synced Aug 16, 2026).

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 and agents alternatives (DeepSeek-Reasonix markdown twin, agents markdown twin), 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 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; agents trust report.

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