LangGraph vs LiveKit Agents
LangGraph and LiveKit Agents are both agent frameworks for Python. LangGraph is published by LangChain and LiveKit Agents by LiveKit. On GitHub, LangGraph has 43,823 stars and LiveKit Agents has 14,921. Both were last active in Oct 2026. The table lines up where they differ (publisher, license, weekly downloads and languages) and has the install commands for both. Everything here comes from the listings' public sources and is refreshed daily. LangGraph describes itself as: Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory. LiveKit Agents: Framework for Python or Node.js programs that join LiveKit rooms as realtime voice and video agents. Licenses: LangGraph MIT, LiveKit Agents Apache-2.0.
Updated Oct 26, 2026 · Built from catalog data; how we rank and grade
LangGraph
LangChain
Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.
LiveKit Agents
LiveKit
Framework for Python or Node.js programs that join LiveKit rooms as realtime voice and video agents.
Who should pick which
- Pick LangGraph if you need several agents working together.
- Pick LiveKit Agents if you work in JavaScript.
- Pick LiveKit Agents if you want MCP support built in.
- LangGraph has the larger community: 43,823 GitHub stars against 14,921.
From listing data only. We don't pick a winner on security beyond the grades; read how grades work.
Side by side
| Fact | LangGraph | LiveKit Agents |
|---|---|---|
| Type | Harness | Harness |
| Publisher | LangChain | LiveKit |
| License | MIT | Apache-2.0 |
| Pricing | Not stated | Not stated |
| Runs | Not stated | Not stated |
| Auth | Not stated | Not stated |
| Hosts supported | Not stated | Not stated |
| Tools | Not listed yet | Not listed yet |
| Security grade | –Security: not graded yet | –Security: not graded yet |
| Freshness grade | AFreshness: A | AFreshness: A |
| GitHub stars | 43,823 | 14,921 |
| Weekly downloads | 13,114,431 | 963,876 |
| Last release | Oct 24, 2026 | Oct 24, 2026 |
| Last activity | Oct 24, 2026 | Oct 24, 2026 |
Facts from each listing's public sources, checked daily. Tool lists arrive with tool scans.
Install
LangGraph
pip install langgraph
LiveKit Agents
pip install livekit-agents
Also consider
- 0.771score
Ax
Ax
DSPy-style toolkit for typed LLM signatures, agents and flows, TypeScript-first with Python, Java, C++, Go and Rust libraries.
HarnessAFreshness: A★ 3K↓ 27.2K/wk - 0.753score
LangChain
LangChain
Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.
HarnessAFreshness: A★ 148.4K↓ 37.3M/wk - 0.738score
DSPy
Stanford NLP
Python framework for writing language-model programs as code and optimizing their prompts and weights instead of hand-tuning prompts.
HarnessAFreshness: A★ 38.8K↓ 1.3M/wk
Questions
- Is LangGraph or LiveKit Agents more popular?
- LangGraph has more GitHub stars (43,823 against 14,921). Stars measure attention, not quality, so check freshness and docs too.
- Are LangGraph and LiveKit Agents open source?
- Yes: LangGraph is MIT and LiveKit Agents is Apache-2.0.
Related
- AlternativesAlternatives to LangGraph
- AlternativesAlternatives to LiveKit Agents
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Cite this page
LangGraph vs LiveKit Agents. Agent Mart. https://agentmart.dev/compare/langgraph-vs-livekit-agents (last updated 2026-10-26)