DeepSeek is no longer just a model company — it's an agent ecosystem. The official awesome-deepseek-agent hub (+222⭐/day, trending Aug 15) catalogs a fast-expanding stack: frontier models (V3, R1), coding agents (Coder, Reasonix), multimodal (VL, OCR), and math reasoning — all open-weight, all agent-callable.
This comparison ranks the top 10 pieces of the DeepSeek agent ecosystem by GitHub stars and role in the agent stack — with live star data verified August 15, 2026.
| # | Tool | ⭐ Stars | Type | Best For |
|---|---|---|---|---|
| 1 | deepseek-ai/DeepSeek-V3 | 104,267 | Frontier LLM | The flagship open-weight MoE model — the default brain for DeepSeek-based agents |
| 2 | deepseek-ai/DeepSeek-R1 | 92,012 | Reasoning LLM | Chain-of-thought reasoning model — the agent reasoning engine of 2026 |
| 3 | deepseek-ai/awesome-deepseek-integration | 38,733 | Ecosystem Index | Every integration, tool, and wrapper for DeepSeek — the ecosystem map |
| 4 | deepseek-ai/DeepSeek-Coder | 24,136 | Coding LLM | Code-specialist models — the agent coding brain, now superseded by agent runners |
| 5 | deepseek-ai/DeepSeek-OCR | 23,791 | OCR & Document AI | Document understanding — the multimodal input layer for document agents |
| 6 | deepseek-ai/DeepSeek-Coder-V2 | 6,988 | Coding LLM (2nd gen) | MoE code model with 128K context — 338B top model |
| 7 | deepseek-ai/awesome-deepseek-agent | 5,791 | Agent Hub NEW +222/DAY | Official agent frameworks, tools, and use-cases catalog — the new front door to the ecosystem |
| 8 | deepseek-ai/DeepSeek-V2 | 5,031 | Legacy Frontier LLM | Previous-gen MoE — still widely used for cost-sensitive inference |
| 9 | deepseek-ai/DeepSeek-VL | 4,161 | Vision-Language | Multimodal understanding for vision-capable agents |
| 10 | deepseek-ai/DeepSeek-Math | 3,424 | Math Reasoning | Math-specialist models — tool-calling verification and formal reasoning |
DeepSeek's ecosystem maps cleanly onto the modern agent architecture: reasoning brain (R1) plans, flagship (V3) executes, Coder writes code, OCR/VL read documents and screens, and awesome-deepseek-agent is the catalog wiring them into agent frameworks. Every layer is open-weight — meaning agents can run the whole stack locally or via one API.
Why now:
awesome-deepseek-agent trending (+222⭐/day) marks the transition from "DeepSeek the model" to "DeepSeek the platform" — the same inflection Anthropic hit when skills went official.
| Use Case | Best Tool | ⭐ | Why |
|---|---|---|---|
| Full agent stack (local) | DeepSeek-V3 + R1 | 104,267 | Open weights, MoE efficiency — the complete local agent brain |
| Ecosystem discovery | awesome-deepseek-agent | 5,791 | Official curated agent hub, updated continuously |
| Document agents | DeepSeek-OCR | 23,791 | State-of-the-art document understanding |
| Coding agents | DeepSeek-Coder | 24,136 | Code-specialist lineage powering Reasonix-style runners |
Wire open-weight DeepSeek models into agent loops.
Vast.ai GPUs →RunPod GPUs →Disclosure: some links above are affiliate links (we may earn a commission at no extra cost to you).
| Revenue Path | Potential | Why |
|---|---|---|
| GPU hosting affiliate (local DeepSeek inference) | High | Open-weight 671B MoE models need serious GPU — Vast.ai/RunPod are the natural fit |
| IDE affiliate (coding agents) | Medium | DeepSeek-powered coding agents pair with Cursor workflows |
| Vector DB affiliate (agent memory + RAG) | Medium | Document agents need retrieval infrastructure |