agents vs vllm
agents and vllm share 9 technologies: OpenAI, AIOHTTP, transformers, jinja2, pillow, Pydantic, OpenTelemetry, psutil, and prometheus-client. Both are written in Python.
What they share and what sets them apart
livekit
agents
A framework for building realtime voice AI agents 🤖🎙️📹
Python15.1kRead on November 8, 2026, at commit 1e352e4What is agents built with?Only in agents
- LiveKit
- pyjwt
- azure-cognitiveservices-speech
nvidia-riva-client
- livekit-agents
- onnxruntime
nltk
fal-client
- LangChain
- LangGraph
av
opentelemetry-api
- aiobotocore
opentelemetry-exporter-otlp
In common
vllm-project
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Python96.8kRead on November 12, 2026, at commit c6573eeWhat is vllm built with?Only in vllm
- FastAPI
- axum
- gitdb
- pyzmq
- Hugging Face
- Tokio
starlette
- Ray
- tower
mkdocs-material
- indicatif
- AMD
apache-tvm-ffi
- auto-round-lib
- conch-triton-kernels
- cuda-bindings
- cuda-python
cupy-cuda12x
cupy-cuda13x
flashinfer-python
- humming-kernels
lm-format-enforcer
mooncake-transfer-engine
mooncake-transfer-engine-rocm
- NVIDIA
nvidia-cudnn-frontend
- openai-harmony
- oss-harmony
- quack-kernels
- sentencepiece
- vllm-bench
- vllm-chat
- vllm-engine-core-client
- vllm-llm
- vllm-managed-engine
- vllm-parser
- vllm-proto
- vllm-server
- vllm-text
- vllm-tokenizer
- torch
- xgrammar-structural-tag
- einops
llm-multimodal
- compressed-tensors
safetensors
- triton
- mistral-common
xgrammar
partial-json-parser
torchvision
lmcache
torchaudio
timm
vllm-xpu-kernels
- runai-model-streamer
tokenizers
tokenspeed-mla
- llguidance
- MCP
outlines-core
- tpu-inference
- fastokens
- fastsafetensors
- hf-hub
- instanttensor
- nixl
- riptoken
- tekken
- tensorizer
- tiktoken
- tiktoken-rs
- markdown
markupsafe
- mkdocs-material-extensions
parquet
- properdocs
- pymdown-extensions
selectolax
- xlsxwriter
- image
minijinja
- torchcodec
minijinja-contrib
- annotated-types
msgspec
- validator
- opentelemetry-semantic-conventions-ai
- python-json-logger
- vllm-metrics
- vllm-tracing
tracing
tracing-subscriber
tracing-futures
- model-hosting-container-standards
- prometheus-fastapi-instrumentator
tracing-log
Side by side
agentsvllm
SizeLines written by people and agents, without generated ones; code files, without tests.
agents357,401 lines written780 code files
vllm2,489,750 lines written3,450 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
agents5.7% of its commits signed by AIWith Claude Code, Devin, Cursor, GitHub Copilot, Warp, and CodeRabbit
vllm14% of its commits signed by AIWith Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code
ActivityFrom GitHub and its history, on the day SeeRepo read it.
agentsLast push November 8, 20264,386 commits15,138 stars
vllmLast push November 12, 202625,200 commits96,790 stars
TestsThe files that test the code, and the share of code files a test imports.
agents388 test files0.4% of its code files have a test that imports them
vllm2,521 test files61.1% of its code files have a test that imports them
Frequently asked questions
Which is bigger, agents or vllm?
vllm, with 2,489,750 lines written; agents has 357,401.
The proof: vllm-project/vllm's code at commit c6573ee
Which has more GitHub stars, agents or vllm?
vllm, with 96,790 stars; agents has 15,138.
The proof: vllm-project/vllm on GitHub
Which has more tests, agents or vllm?
vllm, with 2,521 test files; agents has 388.
The proof: vllm-project/vllm's code at commit c6573ee
Which was updated more recently, agents or vllm?
vllm: its last push was on November 12, 2026, and agents's on November 8, 2026.
The proof: vllm-project/vllm's commits on GitHub
Which has more commits signed by AI, agents or vllm?
vllm: an AI signed 14% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code; in agents, 5.7%.
The proof: the commits each tool signed in vllm-project/vllm
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