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
memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
git-mcp
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
omnigent
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
pydantic-ai
AI Agent Framework, the Pydantic way
jcode
Coding Agent Harness
InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
airweave
Open-source context retrieval layer for AI agents
lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
deeplake
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
rig
⚙️🦀 Build modular and scalable LLM Applications in Rust
Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
datasets
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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.