workflowstacks
ai-agent

SRS: Real-time Media Server

Get efficient live streaming with SRS, a media server for founders, with 29k+ GitHub stars.
29,186 stars5,689 forksC++Guide quality 8/10Updated 8/31/2026100% free · open source
What it does

SRS is a high-efficiency media server that supports multiple protocols and codecs for real-time video streaming.

When to use it
  • •Building a live streaming platform that requires support for various protocols like RTMP, WebRTC, and HLS
  • •Creating a video conferencing application that needs to handle multiple video codecs like H.264, H.265, and AV1
  • •Deploying a scalable video streaming solution that requires low latency and high performance
Ready-to-paste prompt
ffmpeg -re -i input.mp4 -c:v libx264 -c:a aac -f flv rtmp://localhost:1935/live/test
Heads up: The SRS server requires a valid configuration file (`conf/srs.conf`) to be present in the correct location, and the file must be correctly formatted to avoid startup errors
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/srs && curl -fsSL https://workflowstacks.com/api/skills/srs/claude-skill -o ~/.claude/skills/srs/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How SRS: Real-time Media Server works
Codeflow
Free to inspect

SRS: Real-time Media Server is a very large C++ project (~1.1M lines across 3172 code files, plus 66 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~1.1M lines · 3172 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go · Docker
No API keys detected
C++ 87%Go 6%JavaScript 3%Shell 2%HTML 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    cmd/proxy/main.go
    Where the program starts running
  3. 3
    go.mod
    Dependencies and the commands it exposes
  4. 4
    trunk/src/app/srs_app_async_call.cpp
    Inside trunk/src/ — the main logic begins here
What's in each folder
trunk/src/Core code — the actual logic371 files
skills/Prompts, skills & agent definitions81 files
internal/Core code — the actual logic60 files
cmd/Command-line entry points2 files
trunk/doc/Documentation14 files
trunk/3rdparty/Folder3340 files
trunk/research/Research & notebooks152 files
trunk/conf/Folder114 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
ossrs
Language
C++
Category
ai-agent
Published
4/29/2015

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