Home/Compare/DeepSeek-Reasonix vs agents

Comparison

DeepSeek-Reasonix vs agents

Verdict

Pick DeepSeek-Reasonix if deepSeek-Reasonix is a terminal-based AI coding agent designed for stability and continuous operation, built with prompt caching and stability in mind; 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.

Markdown twin · DeepSeek-Reasonix alternatives · agents alternatives

GraphCanon updated Sep 20, 2026

17views this month

DeepSeek-Reasonix logo

DeepSeek-Reasonix

esengine/DeepSeek-Reasonix

★ 36kpushed Sep 18, 2026
vs
agents logo

agents

wshobson/agents

★ 40kpushed Sep 19, 2026

Trust & integrity

SignalDeepSeek-Reasonixagents
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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 terminal
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

DeepSeek-Reasonix
36k
agents
40k

Forks

DeepSeek-Reasonix
2.4k
agents
4.2k

Open issues

DeepSeek-Reasonix
1.9k
agents
12

Language

DeepSeek-Reasonix
Go
agents
Python

Adopt for

DeepSeek-Reasonix
DeepSeek-Reasonix is a terminal-based AI coding agent designed for stability and continuous operation, built with prompt caching and stability in mind.
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
MIT License
agents
MIT

Last pushed

DeepSeek-Reasonix
Sep 18, 2026
agents
Sep 19, 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
1.9k
agents
12

Stars delta

DeepSeek-Reasonix
+953 (30d)
agents
+895 (30d)

Open issues delta

DeepSeek-Reasonix
+511 (30d)
agents
+7 (30d)

OSV dependency advisories

DeepSeek-Reasonix
Published findings
agents
No lockfile (source not queried)

Full report

DeepSeek-Reasonix
Trust report

Choose DeepSeek-Reasonix if…

  • DeepSeek-Reasonix is primarily Go; agents is Python.
  • Pricing: Free to use under the MIT License, with potential for premium features or services..
  • Requirements: Min 2 GB RAM; Requires a terminal environment for operation..
  • Tags unique to DeepSeek-Reasonix: agent, ai-agent, ai-coding, cli.
  • When you need a stable AI coding agent that can run continuously in the terminal, leveraging prompt caching for efficiency.

When NOT to use DeepSeek-Reasonix

  • If you prefer a graphical user interface over a terminal-based tool, as Reasonix is optimized for CLI and TUI use.
  • When you do not require DeepSeek-native integration, as Reasonix is specifically designed to work within this ecosystem.

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 36k · agents 40k (synced Sep 20, 2026).

Common questions

What is the difference between DeepSeek-Reasonix and agents?
DeepSeek-Reasonix: DeepSeek-native AI coding agent for 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; Pricing: Free to use under the MIT License, with potential for premium features or services.; Requirements: Min 2 GB RAM; Requires a terminal environment for operation.; Tags unique to DeepSeek-Reasonix: agent, ai-agent, ai-coding, cli; When you need a stable AI coding agent that can run continuously in the terminal, leveraging prompt caching for efficiency.
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?
If you prefer a graphical user interface over a terminal-based tool, as Reasonix is optimized for CLI and TUI use. When you do not require DeepSeek-native integration, as Reasonix is specifically designed to work within this ecosystem.
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 (39,823 vs 35,596). 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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