ossrs/srs
Media & DesignA self-hosted live media server that ingests RTMP/SRT/WebRTC/GB28181 and republishes to HLS, DASH, HTTP-FLV and WebRTC for low-latency streaming.
If you need to run your own live-streaming ingest and delivery point—for an internal broadcast, a security-camera feed, or a WebRTC test bed—SRS is one of the few open projects that covers both the protocol-in and protocol-out sides. The quickest way to evaluate it is the Docker image plus the getting-started guide, then send a test stream from FFmpeg or OBS.
The problem
A team has a camera, encoder, or browser pushing live video and needs to deliver it to viewers on different devices. Without a server in the middle, each viewer would have to connect directly to the source, with no shared distribution, protocol conversion, or per-stream control. Adding a media server means taking an RTMP feed from OBS and also serving HLS to phones, HTTP-FLV to a web player, or WebRTC to a low-latency window. SRS changes this by accepting several ingest protocols and republishing the same stream through multiple delivery formats, so the broadcaster keeps one pipeline while viewers pick a compatible one.
What's different
The distinguishing part is protocol breadth on one server: the project lists RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181, with codec support for H.264, H.265, AV1, VP9, AAC, Opus, and G.711. In practice that means one deployment can act as both a legacy ingest endpoint and a modern delivery point, including converting between RTMP and WebRTC. That matters for mixed environments where a camera speaks one protocol and the target audience needs another.
The trade-off is that a media server is infrastructure, not a drop-in library. You are choosing a C++ server whose configuration, ports, and stream lifecycle you will operate, and the breadth of supported protocols also means several distinct configuration paths rather than a single mode. For a simple single-room stream this may be more machinery than needed; for a setup spanning multiple protocols it replaces stitching together separate tools.
Who should try it
Good fit: an engineer who needs a self-hosted live-streaming endpoint for a controlled event, an internal video feed, or a lab where RTMP, HLS, and WebRTC all need to coexist. It is also reasonable for someone evaluating low-latency WebRTC delivery from a browser while keeping an RTMP path for OBS. The Docker path makes the first test approachable; the documented FFmpeg/OBS commands and built-in players provide a concrete way to confirm ingest and playback.
Poor fit: someone who just wants to embed a hosted video player and has no server to run, or a team that expects a managed service with per-stream billing and no operational work. The project can run on many architectures, including Windows x64, but it still lives on a machine you administer. If the only requirement is one format for one viewer, a hosted offering or a simpler single-protocol setup is likely a better use of time.
Requirements and limitations
The README documents Linux and macOS on x86_64, ARMv7, AArch64, Apple M1, RISC-V, LoongArch, and MIPS, plus native Windows x64 support, so the server itself is not tied to one platform. Setup can follow the recommended Docker image, and the project points to getting-started instructions for both English and Chinese; those pages are the place to check port exposure and verification steps rather than copying a command from a review.
The ongoing work is operational: you choose and expose ports, configure stream sources, and decide which delivery protocols each stream needs. Protocol support in the README is a statement of scope, not a performance guarantee; the project links to separate performance and architecture documents if throughput and internal design matter to your deployment. AI assistance is mentioned as an optional way to understand and maintain an SRS installation via an AI agent guide, not as a required dependency. Licensing is MIT for SRS itself, with third-party libraries under their own licenses.
HotRepo's take
HotRepo's only recorded observation is a single daily-board appearance on 2026-10-27 at 29,374 stars, with a gain of 8 that day. That is one dated snapshot, not a trend, and there is insufficient comparable daily-board history to judge whether interest is rising or fading. The project is old (created in 2015) and widely forked, but those totals say nothing about current maintenance or compatibility. Before adopting, verify the exact release line you intend to run—8.0 development builds and 7.0 alphas are both listed—and read the getting-started guide for the specific protocol combination you need.
Written by AI from the project's README, updated October 27, 2026. The project's own docs are the source of truth.