Comparison
DeepSeek-Reasonix vs agent-toolkit
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 agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows.
Markdown twin · DeepSeek-Reasonix alternatives · agent-toolkit alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | DeepSeek-Reasonix | agent-toolkit |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (198d 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 · Organization 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 15, 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
- agent-toolkit
- A curated collection of skills for AI coding agents
Stars
- DeepSeek-Reasonix
- 36k
- agent-toolkit
- 2.5k
Forks
- DeepSeek-Reasonix
- 2.4k
- agent-toolkit
- 226
Open issues
- DeepSeek-Reasonix
- 1.9k
- agent-toolkit
- 18
Language
- DeepSeek-Reasonix
- Go
- agent-toolkit
- 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.
- agent-toolkit
- Extends AI coding agent capabilities with Python skills for development and professional workflows
Persona
- DeepSeek-Reasonix
- -
- agent-toolkit
- -
Runtime
- DeepSeek-Reasonix
- -
- agent-toolkit
- -
License
- DeepSeek-Reasonix
- MIT License
- agent-toolkit
- MIT
Last pushed
- DeepSeek-Reasonix
- Sep 18, 2026
- agent-toolkit
- Mar 5, 2026
Categories
- DeepSeek-Reasonix
- AI Agents, Developer Tools
- agent-toolkit
- AI Agents, Developer Tools
Trust and health
Maintenance
- DeepSeek-Reasonix
- Very active (96%)
- agent-toolkit
- Slowing (36%)
Days since push
- DeepSeek-Reasonix
- 0d
- agent-toolkit
- 198d
Open issues (now)
- DeepSeek-Reasonix
- 1.9k
- agent-toolkit
- 18
Stars delta
- DeepSeek-Reasonix
- +953 (30d)
- agent-toolkit
- +176 (30d)
Open issues delta
- DeepSeek-Reasonix
- +511 (30d)
- agent-toolkit
- +1 (30d)
Owner type
- DeepSeek-Reasonix
- User
- agent-toolkit
- Organization
OSV dependency advisories
- DeepSeek-Reasonix
- Published findings
- agent-toolkit
- No lockfile (source not queried)
Full report
- DeepSeek-Reasonix
- Trust report
- agent-toolkit
- Trust report
Choose DeepSeek-Reasonix if…
- DeepSeek-Reasonix is primarily Go; agent-toolkit 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 agent-toolkit if…
- agent-toolkit is primarily Python; DeepSeek-Reasonix is Go.
- Tags unique to agent-toolkit: agent-skills, ai, automation, claude.
- For enhancing specific tasks like documentation, planning, and workflow management
When NOT to use agent-toolkit
- If you seek support for languages other than Python
- When working with non-Python based coding agents that require specialized skills not covered by this toolkit
- In cases where custom, from-scratch development is preferred over using pre-packaged scripts
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (esengine/DeepSeek-Reasonix) · observed Sep 20, 2026
- GitHub forks (esengine/DeepSeek-Reasonix) · observed Sep 20, 2026
- Last push (esengine/DeepSeek-Reasonix) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (softaworks/agent-toolkit) · observed Sep 20, 2026
- GitHub forks (softaworks/agent-toolkit) · observed Sep 20, 2026
- Last push (softaworks/agent-toolkit) · observed Mar 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: DeepSeek-Reasonix 36k · agent-toolkit 2.5k (synced Sep 20, 2026).
Common questions
- What is the difference between DeepSeek-Reasonix and agent-toolkit?
- DeepSeek-Reasonix: DeepSeek-native AI coding agent for terminal. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSeek-Reasonix over agent-toolkit?
- Choose DeepSeek-Reasonix over agent-toolkit when DeepSeek-Reasonix is primarily Go; agent-toolkit 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 agent-toolkit over DeepSeek-Reasonix?
- Choose agent-toolkit over DeepSeek-Reasonix when agent-toolkit is primarily Python; DeepSeek-Reasonix is Go; Tags unique to agent-toolkit: agent-skills, ai, automation, claude; For enhancing specific tasks like documentation, planning, and workflow management.
- 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 agent-toolkit?
- If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts
- Is DeepSeek-Reasonix or agent-toolkit more popular on GitHub?
- DeepSeek-Reasonix has more GitHub stars (35,596 vs 2,483). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-Reasonix and agent-toolkit open source?
- Yes - both are open-source projects on GitHub (DeepSeek-Reasonix: MIT, agent-toolkit: MIT).
- Where can I find alternatives to DeepSeek-Reasonix or agent-toolkit?
- GraphCanon lists graph-backed alternatives at DeepSeek-Reasonix alternatives and agent-toolkit alternatives (DeepSeek-Reasonix markdown twin, agent-toolkit 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 agent-toolkit?
- DeepSeek-Reasonix: Very active. agent-toolkit: Slowing. 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 agent-toolkit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-Reasonix trust report; agent-toolkit trust report.