---
title: "DeepSeek-Coder-V2 vs agentic-awesome-skills"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-coder-v2-vs-sickn33-antigravity-awesome-skills"
tools: ["deepseek-ai-deepseek-coder-v2", "sickn33-antigravity-awesome-skills"]
---

# DeepSeek-Coder-V2 vs agentic-awesome-skills

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick DeepSeek-Coder-V2 when comparable on headline signals - decide on deployment fit, language stack, and constraints, not popularity alone; pick agentic-awesome-skills when pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..

[DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) reports 6.9k GitHub stars, 1.1k forks, and 73 open issues, last pushed Nov 11, 2025. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 43k stars, 6.8k forks, and 2 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [DeepSeek-Coder-V2's repository](https://github.com/deepseek-ai/DeepSeek-Coder-V2) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills).

| | [DeepSeek-Coder-V2](/tools/deepseek-ai-deepseek-coder-v2.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) |
| --- | --- | --- |
| Tagline | DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence | Library of agentic skills for various AI agents |
| Stars | 6,897 | 42,843 |
| Forks | 1,097 | 6,805 |
| Open issues | 73 | 2 |
| Language | - | Python |
| Adopt for | - | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [DeepSeek-Coder-V2](/tools/deepseek-ai-deepseek-coder-v2.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 242d | 1d |
| Open issues (now) | 73 | 2 |
| Owner type | Organization | User |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/deepseek-ai-deepseek-coder-v2/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) |

## Decision facts: agentic-awesome-skills

- **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.
- **Requirements:** Min 2 GB RAM
- **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.

## Choose when

### Choose DeepSeek-Coder-V2 if…

- Comparable on headline signals - decide on deployment fit, language stack, and constraints, not popularity alone.

### Choose agentic-awesome-skills if…

- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- Tags unique to agentic-awesome-skills: agent-skills, developer-tools, ai-agents.
- Also covers AI Agents.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.

## When NOT to use DeepSeek-Coder-V2

- Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder-V2.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## When NOT to use agentic-awesome-skills

- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.

## Common questions

### What is the difference between DeepSeek-Coder-V2 and agentic-awesome-skills?

DeepSeek-Coder-V2: DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose DeepSeek-Coder-V2 over agentic-awesome-skills?

Choose DeepSeek-Coder-V2 when Developer Tools align with your constraints better than agentic-awesome-skills. Compare live stats in the table above - neither tool wins on every metric.

### When should I choose agentic-awesome-skills over DeepSeek-Coder-V2?

Choose agentic-awesome-skills over DeepSeek-Coder-V2 when Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, developer-tools, ai-agents; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.

### When should I avoid DeepSeek-Coder-V2?

Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder-V2. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### When should I avoid agentic-awesome-skills?

- If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.

### Is DeepSeek-Coder-V2 or agentic-awesome-skills more popular on GitHub?

agentic-awesome-skills has more GitHub stars (42,843 vs 6,897). Stars measure visibility, not whether either tool fits your constraints.

### Are DeepSeek-Coder-V2 and agentic-awesome-skills open source?

Yes - both are open-source projects on GitHub (DeepSeek-Coder-V2: MIT, agentic-awesome-skills: MIT).

### Where can I find alternatives to DeepSeek-Coder-V2 or agentic-awesome-skills?

GraphCanon lists graph-backed alternatives at [DeepSeek-Coder-V2 alternatives](/tools/deepseek-ai-deepseek-coder-v2/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([DeepSeek-Coder-V2 markdown twin](/tools/deepseek-ai-deepseek-coder-v2/alternatives.md), [agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/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/deepseek-ai-deepseek-coder-v2-vs-sickn33-antigravity-awesome-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, DeepSeek-Coder-V2 or agentic-awesome-skills?

DeepSeek-Coder-V2: Slowing. agentic-awesome-skills: 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-Coder-V2 and agentic-awesome-skills?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-Coder-V2 trust report](/tools/deepseek-ai-deepseek-coder-v2/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder-v2`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder-v2)
- 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/_
