parlant vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| parlant | ollama | |
|---|---|---|
| Tagline | An interaction control harness optimized for controlled, consistent, and predictable LLM interactions for building reliable customer-facing AI agents. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 18k | 176k |
| Forks | 1.5k | 17k |
| Open issues | 41 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 30, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents, LLM Frameworks |
parlant
Parlant offers a framework designed to streamline the development of enterprise-grade B2C and sensitive B2B interactions that require consistency, compliance, brand alignment, and traceability. It is built with Python and provides a controlled environment for interacting with large language models (LLMs).
Python
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