ollama vs honcho
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | honcho | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | Memory library for building stateful agents |
| Stars | 176k | 5.8k |
| Forks | 17k | 697 |
| Open issues | 3.4k | 152 |
| Language | Go | Python |
| License | MIT | AGPL-3.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents, LLM Frameworks | AI Agents |
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go
honcho
Honcho is a memory infrastructure designed to help build stateful AI agents that can understand and adapt to changing contexts over time. It supports message and event storage, background reasoning, querying through various APIs, and offers both managed service and self-hosting options.
Python