8 Best Mamba-Chat Alternatives in 2026 (Open Source)

Mamba-Chat — Mamba-Chat: A chat LLM based on the state-space model architecture 🐍. vs transformer-based chat models (LLaMA Chat, Mistral): the first conversational model built on Mamba's state-space architecture — enables research into SSM alternatives to transformers for dialogue

These 8 open-source tools do the same job. They are ordered by how closely they match Mamba-Chat, with live GitHub data so you can see which projects are actively maintained.

1. 1. OpenChatKit

   What sets it apart: vs closed-source chatbots: fully open training pipeline (model + data + moderation + retrieval) under Apache 2.0, from Together Computer with EleutherAI collaboration

   Best for: Research on open-source conversational AI training; Teams wanting customizable chat models with Apache 2.0 licensing

   ⭐ 9.0kMamba-Chat vs OpenChatKit →Full profile →

2. 2. Chat UI

   The open source codebase powering HuggingChat

   What sets it apart: Powers HuggingChat (huggingface.co/chat) — the most production-proven open-source chat UI with unique LLM Router for automatic model selection and native MCP tool support, unlike simpler UIs it handles multi-user, multi-model deployments

   Best for: Self-hosting a ChatGPT-like interface for open-source models; Organizations wanting HuggingChat-quality UI for their own LLMs

   ⭐ 11.0kMamba-Chat vs Chat UI →Full profile →

3. 3. Chatbot UI

   AI chat for any model.

   What sets it apart: vs ChatGPT web app: open-source, self-hosted with Supabase backend for full data ownership — the most popular open-source ChatGPT UI clone with 28k+ stars

   Best for: Developers wanting a self-hosted ChatGPT-like UI with data persistence; Teams needing an open-source chat interface they can customize; Organizations wanting full control over their AI chat data

   ⭐ 33.4kMamba-Chat vs Chatbot UI →Full profile →

4. 4. TextGen

   The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.

   What sets it apart: Most feature-complete local LLM web UI with 4 inference backends, training, tool-calling, vision, and image gen — vs Ollama (CLI-focused) or LM Studio (closed source)

   Best for: Running any LLM locally with a full-featured web UI; Privacy-conscious users wanting 100% offline AI; Developers needing a local OpenAI-compatible API server

   ⭐ 47.7kMamba-Chat vs TextGen →Full profile →

5. 5. LobeHub

   The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effo

   What sets it apart: Unlike ChatGPT (closed) or Open WebUI (simple chat wrapper), Lobe Chat is an open-source agent collaboration platform with Agent Groups, white-box personal memory, a 10,000+ MCP plugin marketplace, and multi-modal support — positioning it as a full human-agent co-evolution workspace.

   Best for: Teams wanting a modern ChatGPT alternative with agent collaboration, memory, and 10,000+ plugins; Developers seeking a self-hostable, extensible chat framework with MCP marketplace support

   ⭐ 82.9kMamba-Chat vs LobeHub →Full profile →

6. 6. llama-cpp-agent

   The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured ou

   What sets it apart: Enabled function calling and structured output from any local LLM through grammar-based guided sampling, making capabilities previously exclusive to fine-tuned models available to all llama.cpp-compatible models — now deprecated

   Best for: Getting structured output from local LLMs without fine-tuning; Building function-calling agents with open-source models locally

   ⭐ 659Mamba-Chat vs llama-cpp-agent →Full profile →

7. 7. Open Interpreter

   A natural language interface for computers

   What sets it apart: vs ChatGPT Code Interpreter: runs locally with full internet access, no file size limits, any package available, and persistent state

   Best for: Power users wanting natural language control of their computer; Rapid prototyping and data analysis via conversational coding

   ⭐ 68.5kMamba-Chat vs Open Interpreter →Full profile →

8. 8. GPT Mobile

   Chat app for Android that supports answers from multiple LLMs at once. Bring your own API key AI client. Supports OpenAI, Anthropic, Google, and Ollama. Designed with Material3 & Compose.

   What sets it apart: vs ChatGPT/Claude apps: Open-source Android-native app that lets you chat with multiple LLMs simultaneously in one conversation, with Material You design and fully local chat storage

   Best for: Android users wanting to compare multiple LLM responses side-by-side; Privacy-conscious users who want local-only chat history

   ⭐ 1.2kMamba-Chat vs GPT Mobile →Full profile →