---
title: "Acontext vs ollama"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/memodb-io-acontext-vs-ollama-ollama"
tools: ["memodb-io-acontext", "ollama-ollama"]
---

# Acontext vs ollama

Neutral, constraint-first comparison with live GitHub stats.

| | [Acontext](/tools/memodb-io-acontext.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Tagline | Agent Skills as a Memory Layer | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 3,571 | 175,664 |
| Forks | 323 | 16,872 |
| Open issues | 35 | 3,378 |
| Language | JavaScript | Go |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Data & Retrieval | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=memodb-io-acontext`](/api/graphcanon/graph?tool=memodb-io-acontext)
- 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/_