Self-Hosted AI Agents
Self-hosted agents ranked by verified user ratings.
Self-hosted AI agents run on your own infrastructure, so data never leaves your network and you control the model, updates, and access. The tradeoff is operational overhead. These agents are ranked by verified user ratings from teams running them in production.
AI agents
note-gen
A cross-platform Markdown AI note-taking software.
ragas
Supercharge Your LLM Application Evaluations 🚀
kubesphere
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
openfang
Open-source Agent Operating System
litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
code-review-graph
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
web-llm
High-performance In-browser LLM Inference Engine
hermes-studio
Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
open-swe
An Open-Source Asynchronous Coding Agent
DocsGPT
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Frequently asked questions
What is a self-hosted AI agent?
A self-hosted AI agent runs on infrastructure you control, such as your own cloud account or on-premise servers, rather than the vendor hosting it for you.
Why self-host an AI agent?
Teams self-host mainly for data privacy, compliance, cost control at scale, and the ability to customize or swap models.