# LiveKit Agents vs Vaani Developer Platform (slim)

> LiveKit Agents scores 72.7 (BB) to Vaani Developer Platform's 44.6 (E) for voice agents. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/livekit-agents-vs-vaani-voice.md (~7,050 tokens) · this version ~4,430 tokens · JSON https://www.anchorterminal.com/compare/livekit-agents-vs-vaani-voice.json · canonical https://www.anchorterminal.com/compare/livekit-agents-vs-vaani-voice
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-02
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LiveKit Agents scores 72.7 (BB) on agent readiness against Vaani Developer Platform's 44.6 (E), and leads in every scored category. Both do voice agents.

- LiveKit Agents: BB 72.7, rank #106 of 1266 · https://www.anchorterminal.com/tools/livekit-agents.min.md
- Vaani Developer Platform: E 44.6, rank #1084 of 1266 · https://www.anchorterminal.com/tools/vaani-voice.min.md
- LiveKit Agents, good for Teams writing their own voice agents in Python or Node.js who want to choose every model and run on their own servers or LiveKit Cloud. Ahead on Reliability, 67 against 28; Schema & documentation, 81 against 57; Agent ergonomics, 80 against 64; Security & auth, 62 against 44; Payments & pricing, 60 against 22; Maintenance & community, 87 against 59; Transparency & trust, 82 against 42. Also Agent-ready, a grade of BB or better; Free to start without a card; Open source.
- Vaani Developer Platform, good for Outbound and inbound phone agents and campaigns for Indian businesses, with Hindi, Hinglish and Indian carriers, India DND checks and TRAI calling windows built in, plus WebRTC sessions for apps. Also A hosted endpoint, with nothing to install; Runs on your own machine.

| Category | LiveKit Agents | Vaani Developer Platform |
| --- | --- | --- |
| Reliability (16%) | 67 | 28 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 81 | 57 |
| Agent ergonomics (13%) | 80 | 64 |
| Security & auth (14%) | 62 | 44 |
| Payments & pricing (10%) | 60 | 22 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 87 | 59 |
| Transparency & trust (7%) | 82 | 42 |

| Fact (where they differ) | LiveKit Agents | Vaani Developer Platform |
| --- | --- | --- |
| Kind | Agent framework | HTTP API |
| Vendor | LiveKit Incorporated | Vaani AI Research Private Limited |
| Hosted endpoint | no (local only) | `https://api.vaanivoice.ai` |
| Transports |  | HTTP, stdio |
| Pricing | Free | Pay per use |
| Price for voice agents | $0.005 per minute of audio | not published |
| Licence | Apache-2.0 for the framework and plugins. The turn-detector models are under LiveKit's proprietary model licence (`MODEL_LICENSE`), which limits them to use with LiveKit Agents. LiveKit Cloud and LiveKit Inference are closed services under LiveKit's terms | Proprietary hosted service under Vaani AI Research's terms of service. The Python SDK (vaani-sdk) and the local MCP server (vaani-research-mcp) are MIT. The SDK's full source ships in its PyPI sdist, and the MCP server's npm package holds only the bundled JavaScript |
| Tools exposed | none | 9 |
| Read-only variant documented | no | yes |
| Last release | 2026-10-28 | 2026-10-14 |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | 820k npm/wk, 1.1M PyPI/wk | 14 npm/wk, 19 PyPI/wk |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Transparency & trust, LiveKit Agents +40: LiveKit Agents 82 (Apache-2.0 for the framework and its 81 plugin packages. The turn-detector models are under LiveKit's proprietary model licence, and the core package now requires `livekit-local-inference`, installed from PyPI with its source outside the repository, which runs the local `v1-mini` model that the turn-detector docs place under the same model licence. The README calls the project "Fully open-source" and names the model licence in its licence section, and `MODEL_LICENSE` itself calls LiveKit Agents a proprietary framework (20 of 30). The terms, the observability docs and the pricing page agree on 30-day observability retention, zero data retention for LiveKit Inference and no training on customer data, and a DPA and sub-processor list are published. The privacy policy (15 October 2026) excludes data LiveKit processes for customers. The pricing page lists LiveKit Inference models from Fish Audio, Gradium and Speechmatics, which the sub-processor list of 10 September 2026 does not name (22 of 30). Deprecations are flagged in code and docs (`mcp_servers`, `cli.run_app`, the text turn-detector plugin), mostly without dates. One warning names 30 April 2026 for removing `api_version` and is still in 1.8.10 on 1 November, and 2.0.0b1 has no migration notes we could find (9 of 20). What reaches LiveKit is documented with opt-outs (`record`, `TurnDetector(version="v1-mini")`), and the sub-processor list names each entity and country (17 of 20).); Vaani Developer Platform 42 (A closed service. The terms name Vaani AI Research Private Limited, its Bengaluru address, CIN, Indian law and Bengaluru courts, but they're undated, written for the website www.vaaniresearch.com, and say nothing on billing, refunds, API use or customer data. The SDK and MCP server are MIT, with the SDK's full source in its PyPI sdist (14 of 30). The privacy policy (undated) keeps data, including voice recordings, for up to 24 months, while the pricing table gives 30 days' retention on pay as you go and zero retention on Enterprise. Voice data trains models only with explicit consent. No DPA found (8 of 30). No deprecation policy. The privacy policy promises 15 days' notice of significant changes, and the terms allow changes and termination without notice (2 of 20). The privacy policy names vendor categories (cloud hosting, analytics, voice transcription) and says data may be stored outside India. Model and telephony providers can be read from the calculator, and India data residency is offered on demand. No subprocessor list or data location for the hosted service (5 of 20). 14+8+2+5 = 29.)
- Reliability, LiveKit Agents +39: LiveKit Agents 67 (Graded as a framework with the local-software lines, since LiveKit Cloud is optional and not graded. Official packages on PyPI (Python 3.10 to 3.14 declared) and npm (Node.js 20 or later per the docs) (20). Public workflows run on every push to main and on pull requests. Unit tests on Linux with Python 3.12 over 310 test files on 1 November, ruff, and mypy on Python 3.10 and 3.13, with a small blockguard suite on Linux, macOS and Windows. GitHub's pages and API weren't readable from our session, so a passing main is not confirmed (15 of 25). Open issues and reply times weren't read, because GitHub's pages answer 403, and the earlier issue figures, taken from a third-party copy of GitHub data, are struck. In a clone of main, the 200 newest commits run from 11 to 31 October 2026 and 104 of them are fixes, among them an Inference STT socket that hung when silently dropped (#8023) and an avatar plugin's error handler that crashed (#7498). None names the issue it closes and there is no changelog, so whether reported crashes and regressions get handled can't be seen (10 of 25). No CHANGELOG file. Release notes are on GitHub, which we couldn't read, and the repository's release-notes script asks for Breaking changes and Security sections. Migration guides exist for 0.x to 1.0, AGENTS.md makes patch bumps the default, and 2.0.0b1 was tagged on 12 October and the docs' migration guides still stop at Python 0.x to 1.0 and Node.js 1.x to 1.5 on 1 November (7 of 15). 1.8.10, stable since 1.0 (15).); Vaani Developer Platform 28 (Graded on the hosted REST API at api.vaanivoice.ai. No status page. status.vaani.dev and status.vaanivoice.ai don't resolve, and neither the site nor the docs link one (0). With no history to read, 5. No request rate limits are published. The docs give 2 concurrent calls on pay as you go and a per-organisation campaign concurrency cap, so partial credit (5). The SDK raises `RateLimitError` on 429 and the MCP client retries once after 600 ms, but no Retry-After, backoff guidance or idempotency key for call creation is documented (3). The pricing table lists a 99.50 per cent uptime SLA on both plans, but no SLA document or service credits were found and the terms supply the service "as-is" with no warranties, so half (5). The API is version 2.0.0 and isn't labelled beta (10). 0+5+5+3+5+10 = 28.)
- Payments & pricing, LiveKit Agents +38: LiveKit Agents 60 (No x402, MPP or L402 (0 of 40). Read with the rule for open-source software that has a paid hosted option. LiveKit Cloud publishes per-minute prices for agent sessions and recordings and per-unit prices for every LiveKit Inference model without a login (20). The Apache-2.0 packages install with no card, and LiveKit Cloud's Build plan is $0 with no card (20). The framework and a LiveKit server can both run self-hosted with no account or sign-up (20).); Vaani Developer Platform 22 (No x402, MPP or L402 (0 of 40). The ₹1 ($0.02) a minute platform fee, number rental, concurrency lines and add-ons are public, and the calculator shows each provider's unit rate without a login. Registry checks, extraction and evaluations "can add separate charges" that aren't priced, and the billing pulse depends on the account, so 3 off (17 of 20). The home page says "Start free on Vaani's Platform", but the pricing page states a prepaid wallet with no free credit, trial minutes or card rule, and we didn't sign up to check, so 5 of 20. A person signs up with email verification at platform.vaani.dev and creates keys in the dashboard (0). 0+17+5+0 = 22.)
- Maintenance & community, LiveKit Agents +28: LiveKit Agents 87 (`livekit-agents` 1.8.10 tagged on 28 October 2026, after 1.8.9 on 23 October (30). 18 tagged releases in the 90 days to 1 November, from 1.6.8 on 3 August to 1.8.10, counted from the repository's tags since PyPI didn't answer from our shell on 1 November, and `@livekit/agents` 1.9.4 (24 October) and 1.9.5 (28 October) in livekit/agents-js (20). Issue and pull request reply times weren't read, because GitHub's pages answer 403, and the earlier figures, taken from a third-party copy of GitHub data, are struck. In the clone, 147 of the 200 newest commits (11 to 31 October) came from about 80 authors with addresses outside livekit.io, bots aside, and every one of the 200 landed as a numbered pull request. CODEOWNERS sends every change to the agent-devs team, a workflow requests that team's review on pull requests from the repository's own branches, and the issue form points questions to LiveKit's community forum, with a Slack linked from the README (15 of 25). Python 1.8.10 and Node.js 1.9.5 were both tagged on 28 October (15). Renovate, a uv lockfile that holds new dependencies back seven days, security bumps of aiohttp (22 October) and nltk (27 October), pinned actions and CI on every push, with the pass state unconfirmed (7 of 10). 30 + 20 + 15 + 15 + 7 = 87.); Vaani Developer Platform 59 (vaani-research-mcp 0.1.1 on 2026-10-14 (30). In the last 90 days, vaani-sdk 0.3.1 on 28 September and three npm versions (0.0.0-stage, 0.1.0, 0.1.1) within 40 minutes on 14 October. No dated changelog, so half (10 of 20). A closed service with no public changelog, issue tracker or community channel found. Contact is hello@vaaniresearch.com and a booking link, and we didn't test whether they answer. The MCP repository on GitHub couldn't be read from this session (4 of 15, the closed-service reading). A current official Python SDK, released seven times since April 2026. The MCP server isn't in the official MCP registry (10 of 15). The SDK's sdist ships its tests and current httpx and pydantic dependencies, and the MCP package runs its tests before publishing, but no public CI was found and the SDK has no repository (5 of 10). 30+10+4+10+5 = 59.)
- Schema & documentation, LiveKit Agents +24: LiveKit Agents 81 (Library reading. A typed Python package (`py.typed`, mypy in CI) with a Python and Node.js API reference on docs.livekit.io. The reference llms.txt link to the Python reference's Markdown still returns 404 on 1 November (22 of 25). llms.txt with section indexes, `.md` on every page, llms-full.txt and a docs MCP server (10). Pages say when to use a realtime model or a pipeline, when to choose `v1` or `v1-mini`, when to disallow interruptions and how to gate critical actions, and mark MCP as Python only (16 of 20). Function tools take their schema from typed signatures and docstrings, raw JSON Schema is accepted, and argument validation failures go back to the model as `ToolError` (13 of 15). 15 example folders in the repository after provider-specific examples were removed on 27 October, 39 recipes, and an events and error-handling reference (13 of 15). No changelog in the repository or docs, release notes only on GitHub, and the quickstart's `agent.py` still ends with `agents.cli.run_app(server)`, which the framework marks as deprecated, still so on 1 November (7 of 15).); Vaani Developer Platform 57 (A public OpenAPI 3.1 file at docs.vaani.dev/api-reference/openapi.json, version 2.0.0, but it holds 5 of the 24 operations in the API reference (trigger-call, call history, transcript, stream, call details). It declares the key only as a header parameter with no security scheme, its trigger-call schema leaves out `medium` and `modify_agent`, and four response schemas are empty. The MCP tools have typed zod inputs (8 of 25). llms.txt, llms-full.txt and a Markdown copy of each page on Mintlify (10). Pages explain what each route is for and warn where it matters, such as dispatch acceptance not meaning a completed call, transcripts returning 404 while processing, and real paid calls from trigger_call (14 of 20). Ranges and enums are documented (`medium`, `voice_speed` 0.6 to 1.4, `page_size` up to 200, campaign retries 1 to 10, campaign status), but `metadata`, `modify_agent` and three MCP tool payloads are free-form objects (9 of 15). Request examples in cURL, Python and JavaScript on every endpoint, a campaign error-code table, 422 and 404 bodies and an SDK exception table by status. No single error reference for the whole API (12 of 15). The docs state API version 2.0.0, but no changelog or release notes page was found (4 of 15). 8+10+14+9+12+4 = 57.)
- Security & auth, LiveKit Agents +18: LiveKit Agents 62 (Framework reading. Agents authenticate to a LiveKit server with an API key and secret that sign JWT access tokens with room grants and a lifetime. No analytics calls were found in the source. Uploads to LiveKit Cloud happen only when the agent connects to LiveKit Cloud media servers and the project enables Agent Observability, which the terms call a capability the customer elects to enable. `record` then defaults to the project setting, and since 23 October (1.8.9) the recording header also carries a session summary without chat history or events, with `record=False` or per-category opt-outs, 30-day retention and PII redaction that is off by default. The default turn detector streams user audio to LiveKit Inference when deployed to LiveKit Cloud or in `dev` mode with credentials, which the docs state (20 of 30). No built-in approval step or read-only mode. `disallow_interruptions()`, `on_duplicate="confirm"`, MCP `allowed_tools`, prebuilt tasks with `require_confirmation` and the docs' advice to gate critical actions in code. Hosted agents run in sandboxed per-instance environments per the security page (10 of 20). Callers' speech and MCP results reach the model, and a search of llms-full.txt found no prompt-injection guidance (3 of 15). OpenTelemetry traces and metrics per session, session reports, and Agent Insights on LiveKit Cloud (14 of 15). security.txt with a contact and PGP key but no Expires field, a disclosure policy with safe harbour and a hall of fame, a SOC 2 Type II report for LiveKit Cloud under NDA, and no OSV advisories for livekit-agents or @livekit/agents on 1 November. No SECURITY.md in the repository and no paid bug bounty found. CI pins its actions by commit (15 of 20).); Vaani Developer Platform 44 (Plain revocable API keys, shown once, several active at a time and rotated by creating a new key and deleting the old one. Every key reaches the whole workspace, with no scoped, read-only or per-agent keys (20). Campaign webhooks are signed with HMAC-SHA256 over a timestamp and the body, with a five-minute replay window in the example (+2). The live-captions URL carries a call-bound token in the query string for 24 hours by default, the documented way for browsers to connect, so 3 off as a judgement call, less than the full 10 because it isn't the account key (19 of 30). The MCP server has a read-only mode and destructive annotations, and its docs, tool descriptions and bundled prompt say to confirm the number and agent with the user before a call. The API itself has no read-only key and nothing stops a call without confirmation (12 of 20). The tool returns transcripts, summaries and entities drawn from callers' speech. No guidance on treating them as untrusted data was found. Agent guardrails exist for the voice agent's own replies (3 of 15). Each call keeps a record in call history and call details, and keys are labelled so calls can be traced to a key, but no account or key audit log is documented (7 of 15). No security.txt (404 on both domains), disclosure policy, bug bounty or certification. vaaniresearch.com marks its security standards "In Progress", the pricing page lists HIPAA compliance on Enterprise with no report or BAA found, and the privacy policy promises breach notice in line with applicable law (3 of 20). 19+12+3+7+3 = 44.)