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Top 6 of 37 researched candidates

Alternatives to LiveKit Agents

Find a better fit for what you need. Compare alternatives to LiveKit Agents with sourced features, strengths and trade-offs side by side.

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Evidence-backed shortlist

Closest researched alternatives to LiveKit Agents

Ordered by the requirements met, strengths preserved, explicit trade-offs and research coverage. Sponsorship does not enter the order.

  1. 01

    LangGraph

    Open-source orchestration framework and runtime for stateful, long-running LLM agents, from LangChain.

    From Free

    Why it's on this listIn your pipeline · YesThe vendor publishes a CI/CD reference pipeline with a companion repository: tests and offline evals on a PR, then quality-gated preview and production deploys via the Control Plane API.Evidence ↗

    Where it improves on LiveKit Agents

    • +MCP server · YesA deployed agent can be exposed as an MCP server, so another agent can call it; the plan table checks this row on Developer, Plus and Enterprise alike.Evidence ↗
    • +Bring your own key · YesYou supply provider keys directly in your own code, and the LLM Gateway's bring-your-own-key row is checked on every plan. Enterprise adds hybrid and self-hosted so inference and data stay in your cloud.Evidence ↗

    Trade-offs against LiveKit Agents

    No disadvantages found in the criteria researched so far.

  2. 02

    Mastra

    Open-source TypeScript framework for building AI agents, with a hosted platform for running and observing them.

    From Free

    Why it's on this listDone-for-you service · PartialYou run the software, but Mastra sells professional services (Concierge, forward-deployed engineering) and enterprise support covering planning, prototyping and workshops.Evidence ↗

    Where it improves on LiveKit Agents

    • +Agent permissions · YesTool approval can gate any tool call, per server or by predicate on tool name/arguments; approvals propagate up a subagent delegation chain.Evidence ↗
    • +MCP server · YesBoth directions: MCPClient consumes external MCP servers, and MCPServer publishes your agents, tools and workflows to other MCP clients over stdio or HTTP.Evidence ↗

    Trade-offs against LiveKit Agents

    No disadvantages found in the criteria researched so far.

  3. 03

    ElevenLabs Agents

    Hosted platform for building voice and chat agents, with telephony, SDKs and a choice of LLM.

    From Free

    Why it's on this listDone-for-you service · PartialSelf-serve software you run, but enterprises can buy ElevenLabs Forward Deployed Engineers who scope, build and stabilise the deployment; no price is published.Evidence ↗

    Where it improves on LiveKit Agents

    • +Agent permissions · YesTool use is gated per MCP server and per tool: always ask, fine-grained (auto-approved, requires approval, disabled), or no approval at all.Evidence ↗
    • +In your pipeline · YesAgents deploy from CI with an API key in the environment; the unit of change is the agent configuration, not a pull request in your code.Evidence ↗

    Trade-offs against LiveKit Agents

    • −Self-hosted · PartialThe full agent runtime can run in your own VPC or hardware on AWS or GCP, but the documentation is NDA-gated and sold through the account team; Azure is unreleased.Evidence ↗
    • −Open source · PartialThe CLI and the client SDKs are public on GitHub and take contributions; the agent platform and the speech models themselves are proprietary and hosted.Evidence ↗
  4. 04

    Agno

    Python SDK, open-source AgentOS runtime and hosted control plane for building and operating agents.

    From Free

    Why it's on this listMCP server · YesAgentOS can expose registered agents as an MCP server, so another agent can call them; docs also ship as MCP.Evidence ↗

    Where it improves on LiveKit Agents

    • +Bring your own key · YesYou supply each provider's own API key by environment variable, and the runtime runs on your compute.Evidence ↗
    • +Seat model · YesThree seats included on Pro, $30/month per extra seat; no published ceiling.Evidence ↗

    Trade-offs against LiveKit Agents

    • −In your pipeline · NoThe enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.Evidence ↗
    • −Open source · PartialSDK and AgentOS are Apache 2.0; the control plane is the commercial part and is not published as source.Evidence ↗
  5. 05

    LangChain

    Open source agent frameworks plus LangSmith, a hosted platform to trace, evaluate, deploy and govern agents.

    From Free

    Why it's on this listDone-for-you service · PartialYou run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.Evidence ↗

    Where it improves on LiveKit Agents

    • +Agent permissions · YesHuman-in-the-loop interrupts gate agent actions in the framework, dcode gates code execution behind approval modes, and Fleet agents can run as themselves or as the calling user.Evidence ↗
    • +In your pipeline · YesThe vendor documents a GitHub Actions pipeline that runs tests and offline evals on a pull request, then promotes preview deployments to production through the control-plane API.Evidence ↗

    Trade-offs against LiveKit Agents

    • −Self-hosted · PartialThe open source frameworks run anywhere, but self-hosting or hybrid-hosting the LangSmith platform on Kubernetes is an Enterprise-plan option; Developer and Plus are cloud-only.Evidence ↗
    • −Open source · PartialThe frameworks and the dcode coding agent are MIT-licensed and free, while the LangSmith platform that carries the price, seats and governance is proprietary and hosted.Evidence ↗
    34/35 researched criteria · 1 not established
  6. 06

    CrewAI

    Open-source multi-agent framework with a managed platform for deploying and governing agent workflows.

    From Free

    Why it's on this listDone-for-you service · PartialYou run the software yourself, but the Enterprise plan sells forward-deployed engineers, onboarding and training separately, so people-delivered build help exists as a paid extra.Evidence ↗

    Where it improves on LiveKit Agents

    • +MCP server · YesBoth plans can publish a built workflow as an MCP server so other agents can call it, and agents can equally consume any external MCP server as tooling.Evidence ↗
    • +Bring your own key · YesInference runs on your own provider accounts: you supply each provider key, or manage LLM connections centrally in the platform, and Enterprise can host the runtime in your cloud.Evidence ↗

    Trade-offs against LiveKit Agents

    • −How it meters · PartialMetering is per workflow execution rather than per seat, and the free tier states its allowance, but Enterprise volumes are sized case by case with unpriced overage.Evidence ↗
    • −Opt out of training · PartialFramework telemetry excludes prompts and agent data by default and is disabled with one environment variable, but no page states whether platform execution data trains vendor models.Evidence ↗
    34/35 researched criteria · 1 not established

Full datasheet

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Method

How the shortlist is calculated

Comparable first. We consider listings in the same category as LiveKit Agents and alternatives previously researched for this page.

Requirements first. We prioritise your selected needs, then shared strengths, fewer documented trade-offs, more complete research and finally alphabetical order.

Unknown remains unknown. Missing evidence is never converted into a benefit or a trade-off. Every improvement shown above comes from the same sourced criterion as the listing.

Independent order. Payment does not affect selection or ranking. Paid placements are labelled Advertisement.

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