Open source harness-engineering projects
Every project in the registry tagged harness-engineering, ranked by real GitHub adoption.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context la
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestr
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Surge-style whole-home gateway and control plane for macOS with IPv4/IPv6 support— mihomo TUN, dnsmasq-powered DHCP/DNS, per-device routing, and an agent-friend
Related tags
Frequently asked questions
How many open source harness-engineering projects are there?
This registry tracks 5 projects tagged harness-engineering, with 142,003 GitHub stars between them. The most-adopted is ragflow at 93,319 stars.
Are these harness-engineering projects free to use?
Yes — 5 of the 5 carry an explicit open-source licence across 3 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which harness-engineering project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these harness-engineering projects still maintained?
5 of the 5 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.