# Alternatives to OmniDimension > Source: https://theagentsindex.com/omnidimension/alternatives (current datasheets, evidence-ranked) Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not. ## Shortlist ### 1. ElevenLabs Agents Hosted platform for building voice and chat agents, with telephony, SDKs and a choice of LLM. **Research coverage:** 35/35 criteria **Where it improves on OmniDimension:** - [Multi-agent: yes — An orchestrator agent routes a live conversation to specialist agents on natural-language conditions, and transfers can be nested; the transcript carries across.](https://elevenlabs.io/docs/eleven-agents/customization/tools/system-tools/agent-transfer) - [Agent permissions: yes — Tool use is gated per MCP server and per tool: always ask, fine-grained (auto-approved, requires approval, disabled), or no approval at all.](https://elevenlabs.io/docs/eleven-agents/customization/tools/mcp) - [Claude: yes — Anthropic models are natively selectable in agent settings; a few older Claude models drop out in EU data-residency workspaces.](https://elevenlabs.io/docs/eleven-agents/customization/llm) **Trade-offs against OmniDimension:** - [In your editor: no — The vendor enumerates its surfaces as web widgets, mobile apps, phone systems and custom integrations; no editor or IDE extension appears in that list.](https://elevenlabs.io/docs/eleven-agents/integrate/overview) [View ElevenLabs Agents](https://theagentsindex.com/elevenlabs-conversational-ai) ### 2. Vapi Developer platform for building, testing and deploying voice AI agents that make and receive phone calls. **Research coverage:** 35/35 criteria **Where it improves on OmniDimension:** - [Multi-agent: yes — Squads route one conversation across several specialised assistants with context-preserving handoffs.](https://docs.vapi.ai/quickstart/introduction) - [Claude: yes — Claude is selectable as the assistant's LLM, on Vapi's integration or your own Anthropic account.](https://docs.vapi.ai/providers/model/anthropic) - [On the command line: yes — The Vapi CLI covers assistants, numbers, calls, campaigns and logs from the terminal.](https://docs.vapi.ai/cli) **Trade-offs against OmniDimension:** - [Seat model: no — Nothing is priced per seat: the plan table meters call minutes and concurrent lines only, and members are invited with RBAC roles.](https://vapi.ai/pricing) [View Vapi](https://theagentsindex.com/vapi) ### 3. PolyAI Enterprise platform for building voice and chat agents that resolve customer calls, priced per minute. **Research coverage:** 35/35 criteria **Where it improves on OmniDimension:** - [Claude: yes — Claude is one of the third-party models you can run instead of Raven; the model docs list Claude options under the Amazon Bedrock provider tab, selectable per channel.](https://poly.ai/blog/agentic-dialog-platform-open-to-builders) - [In your editor: yes — The ADK edits agent resources as local files in any editor, and Builder MCP plugs the same workflow into Cursor, Claude Code, Claude Desktop and Codex.](https://poly.ai/developers) - [On the command line: yes — The poly CLI pulls, branches, validates, pushes and chats against a project from the terminal.](https://docs.poly.ai/extend/adk) **Trade-offs against OmniDimension:** - [Multi-agent: no — The only 'team of agents' feature is assigning several TTS voices to one agent; no coordination between multiple agents on a single task is documented, and the build assistant works one branch at a time.](https://docs.poly.ai/voice-channel/multi-voice) - [Open models: partial — The model catalogue enumerates only Raven, OpenAI and Amazon Bedrock (Claude, Nova) with no open-weight option, but you can attach your own LLM endpoint.](https://docs.poly.ai/behavior/models/byom) - [Seat model: no — No per-seat price is published; billing tracks conversation volume, and team members are added by invitation with role-based permissions.](https://poly.ai/msa) [View PolyAI](https://theagentsindex.com/polyai) ### 4. Cartesia Real-time speech models and a managed runtime for production phone and web voice agents. **Research coverage:** 35/35 criteria **Where it improves on OmniDimension:** - [Claude: yes — Anthropic Claude models are named in the SDK's supported-models table and used in its examples.](https://docs.cartesia.ai/line/sdk/agents) - [On the command line: yes — A `cartesia` CLI creates, deploys and manages agents, and can chat with agent logic locally.](https://docs.cartesia.ai/line/cli) - [Self-hosted: partial — On-premise or VPC model deployment is sales-gated; separately, agent reasoning code can run on your own servers with Cartesia connecting to your URL.](https://www.cartesia.ai/pricing) **Trade-offs against OmniDimension:** - [Done-for-you service: no — Self-serve software: you build and deploy the agent yourself; sales contact exists for Enterprise terms, not for building it for you.](https://www.cartesia.ai/agents) - [Multi-agent: no — System tools enumerate three slots: end call, DTMF, and transfer to an E.164 phone number. An agent therefore hands off to a number, not to another Cartesia agent.](https://docs.cartesia.ai/agents/system-tools) - [Open models: partial — The LLM layer routes through LiteLLM to 100+ providers, but the vendor names only Anthropic, OpenAI and Google, and its own speech models are API-only.](https://docs.cartesia.ai/line/sdk/agents) [View Cartesia](https://theagentsindex.com/cartesia) ### 5. Retell AI Pay-as-you-go platform for building, testing and running AI phone, chat and SMS agents. **Research coverage:** 34/35 criteria **Where it improves on OmniDimension:** - [Multi-agent: yes — One call can be handed between several specialised AI agents mid-conversation, with the destination agent inheriting the full transcript, so work is split across agents rather than one monolith.](https://docs.retellai.com/build/conversation-flow/transfer-agent-node) - [Claude: yes — Claude models are selectable as the agent's conversation model and priced per minute for voice and per message for chat, alongside GPT and Gemini options.](https://www.retellai.com/pricing) - [Getting out: yes — Filtered call and chat history exports to CSV including transcripts, and list/get APIs cover the same data; purchased credits never expire but are non-refundable once bought.](https://docs.retellai.com/features/session-history) **Trade-offs against OmniDimension:** - [Open models: partial — Retell's own model menu is limited to hosted GPT, Claude and Gemini, but the custom-LLM path lets you put a self-hosted open-weights model behind the agent over a WebSocket you operate.](https://docs.retellai.com/integrate-llm/overview) - [On the command line: no — The docs enumerate every way to drive Retell: dashboard, REST API, Node/Python SDKs and MCP server. No command-line tool is among them.](https://docs.retellai.com/general/introduction) - [Seat model: no — Nothing is charged per user: the published rate card meters minutes, messages and monthly items like phone numbers and concurrency, so team size does not change the bill.](https://www.retellai.com/pricing) [View Retell AI](https://theagentsindex.com/retell-ai) ### 6. LiveKit Agents Open-source Python and Node.js framework for voice AI agents, with LiveKit Cloud hosting, telephony and observability. **Research coverage:** 35/35 criteria **Where it improves on OmniDimension:** - [Multi-agent: yes — Multiple agents in one session via handoffs, plus a supervisor pattern where one agent keeps control and delegates to scoped tasks.](https://docs.livekit.io/agents/logic/workflows.md) - [Claude: yes — Anthropic plugin for Python and Node.js, using your own Anthropic API key. Claude is not among the models served through LiveKit Inference, so it is a plugin-only path.](https://docs.livekit.io/agents/models/llm/anthropic.md) - [On the command line: yes — The lk CLI creates projects, deploys agents and manages LiveKit Cloud; agents can also be run and talked to locally in console mode.](https://docs.livekit.io/reference/developer-tools/livekit-cli.md) **Trade-offs against OmniDimension:** - [Done-for-you service: no — You run the software: an open-source SDK plus a self-serve cloud. Enterprise adds a designated solutions engineer, which is support, not a build-for-you engagement.](https://livekit.com/products/agent-platform) - [MCP server: partial — The agent is the MCP client: it consumes tools from remote HTTP or local stdio MCP servers, Python only. LiveKit does not expose a running agent as an MCP server for another agent to query.](https://docs.livekit.io/agents/logic/tools/mcp.md) - [Seat model: no — Not seat-priced. Plans are per project with usage allowances, and neither the plan cards nor the feature matrix publishes a seat count, floor or ceiling; dashboard users get admin, write or read roles.](https://docs.livekit.io/deploy/admin/quotas-and-limits.md) [View LiveKit Agents](https://theagentsindex.com/livekit-agents) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.