memvid vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| memvid | ollama | |
|---|---|---|
| Tagline | Memory layer for AI Agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 16k | 176k |
| Forks | 1.4k | 17k |
| Open issues | 21 | 3.4k |
| Language | Rust | Go |
| License | Apache-2.0 | MIT |
| Last pushed | May 27, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents, LLM Frameworks |
memvid
Memvid provides a serverless, single-file memory layer for AI agents to enable instant retrieval and long-term memory without relying on traditional databases.
Rust
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