{ "data": { "a": { "slug": "cuelight", "name": "CueLight", "vendor": "sshah03 (individual developer, name not stated)", "vendorUrl": "https://sshah03.github.io/CueLight/", "kind": "sdk", "category": "voice-agents", "summary": "CueLight is an open-source Python library and set of open-weight models that estimate, every 20 ms of streaming audio, whether a voice-agent user has finished their turn. It runs locally from audio alone, in English.", "url": "https://www.anchorterminal.com/tools/cuelight", "markdownUrl": "https://www.anchorterminal.com/tools/cuelight.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cuelight.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cuelight.json", "repo": "https://github.com/sshah03/CueLight", "license": "Apache-2.0", "transports": [], "packages": [], "auth": "none", "authNotes": "None. The library runs in the caller's process and opens no port. Weights download anonymously from Hugging Face (sshah03/cuelight-nano, -nano-ssm, -base) on first use, or load from a local folder.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 for code and weights, with no hosted or paid option. The owner pays only for the CPU it runs on. Conditions carried over from the training data ask that it not be used to identify speakers or clone voices.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README or demo page (checked 2026-10-15). There is nothing to buy.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 10, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://github.com/sshah03/CueLight#quick-start", "capabilities": [ "voice.pipeline", "inference.open-weights" ], "tags": [ "sdk", "open-source", "open-weights", "local", "self-hosted", "python", "free", "no-card", "apache-2.0", "pre-1.0" ], "lastRelease": "2026-10-14", "graded": true, "anchor": { "graded": true, "score": 48.8, "grade": "D", "agentReady": false, "rank": 909, "ranked": true, "rankOf": 1133, "categoryRank": 19, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 46, "payments": 60, "reliability": 29, "schema": 50, "security": 50, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": 0, "verdict": "CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.", "bestFor": "A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.", "strengths": [ "Apache-2.0 code and weights, with every training dataset and teacher model named in NOTICE", "Nano is 0.5M parameters and 1.9 MB, with ONNX step files for non-Python runtimes", "Works from audio alone and updates during speech, not only at pauses", "Two tuned presets and a custom policy, behind a four-name Python interface", "Weights load from safetensors, and no telemetry was found in the source" ], "weaknesses": [ "English only, and the author does not plan other languages soon", "Not on PyPI, no tags, releases, changelog or CI, and one commit at the check", "Benchmarks are self-reported, and the presets were tuned on half of the benchmark they are scored on", "Weights download from Hugging Face main branches with no pinned revision", "An unknown preset name falls back silently to default thresholds" ], "agentNotes": [ "Feed 320 float32 samples at 16 kHz mono per `push`. Resample first, or the call raises an AssertionError", "Spell the preset as `snappy` or `careful`. Any other name silently uses default thresholds", "Call `clear()` before a new call or session. Pass `reset_on_turn_start=False` if your pipeline already resets per turn", "Pin weights by downloading them to a local folder and passing that path to `from_pretrained`", "Don't use it to identify speakers or clone voices. The training data's conditions forbid it" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.8 } ], "editorialScores": { "ergonomics": 61, "maintenance": 46, "payments": 60, "reliability": 29, "schema": 50, "security": 50, "transparency": 67 }, "provenanceScore": 40 }, "connect": { "install": "pip install git+https://github.com/sshah03/CueLight" }, "letme": { "capability": "https://letme.dev/voice.pipeline", "tool": "https://letme.dev/cuelight" }, "area": "voice", "provenance": { "legalEntity": "sshah03 (individual GitHub account, no name or organisation stated)", "domain": "sshah03.github.io", "domainRegistered": "", "domainNote": "A library and model weights, not a service. Code on github.com/sshah03, weights on huggingface.co/sshah03, demo on GitHub Pages. No domain of its own.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-15", "notes": [ "The LICENSE is Apache-2.0 and NOTICE reads Copyright 2026 sshah03, with third-party model and dataset licences in NOTICE and LICENSES/.", "The GitHub account sshah03 was created on 10 July 2012 and gives no name, company or website.", "No terms or privacy document governs the library or the demo page. Nothing is hosted beyond static GitHub Pages files, so both fields are left out.", "No changelog, tags or GitHub releases. The repository has no SECURITY.md, and github.io serves no security.txt for the project.", "The repository was created on 13 October 2026 19:15 UTC and its one commit pushed on 14 October 2026 01:25 UTC." ], "score": 40 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cuelight.json", "live": { "slug": "cuelight", "githubStars": 11, "securityTxt": { "url": "https://sshah03.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-17T15:51:48.449353439Z" }, "updatedAt": "2026-10-17T15:51:48.449353439Z" } }, "answer": "LiveKit Agents scores 72.5 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories.", "b": { "slug": "livekit-agents", "name": "LiveKit Agents", "vendor": "LiveKit Incorporated", "vendorUrl": "https://livekit.com", "kind": "framework", "category": "voice-agents", "summary": "LiveKit Agents is LiveKit's open-source Python and Node.js framework for realtime voice and video agents that join LiveKit rooms, with STT, LLM, TTS and realtime-model plugins, turn detection, MCP tools and telephony through LiveKit SIP.", "url": "https://www.anchorterminal.com/tools/livekit-agents", "markdownUrl": "https://www.anchorterminal.com/tools/livekit-agents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/livekit-agents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/livekit-agents.json", "repo": "https://github.com/livekit/agents", "license": "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", "transports": [], "packages": [ { "registry": "pypi", "name": "livekit-agents" }, { "registry": "npm", "name": "@livekit/agents" } ], "auth": "api-key", "authNotes": "The agent server connects to a LiveKit server with `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET`. The key and secret sign JWT access tokens with room grants and a lifetime the issuer sets. Model plugins take each provider's own key, or LiveKit Inference uses the LiveKit Cloud project's key and secret. A self-hosted LiveKit server needs no LiveKit account, and a LiveKit Cloud project needs a browser sign-up.", "pricing": "free", "pricingNotes": "The framework is free under Apache-2.0, and you pay for models and for hosting. LiveKit Cloud's Build plan is $0 with no card, with 1,000 agent session minutes, 5 concurrent sessions and $2.50 of LiveKit Inference credit, as a hard cap. Ship starts at $50 a month and Scale at $500, with agent session minutes at $0.01 past the allowance and LiveKit Inference models billed per minute, per character or per token (https://livekit.com/pricing.md, checked 2026-10-17).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository source, the docs (llms-full.txt) or the pricing page, checked 2026-10-17.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 14719, "npmWeekly": 819555, "pypiWeekly": 1055589, "asOf": "2026-10-17" }, "docsUrl": "https://docs.livekit.io/agents/", "llmsTxt": "https://docs.livekit.io/llms.txt", "capabilities": [ "voice.agent", "voice.pipeline", "voice.speech-to-speech", "voice.tools", "voice.telephony", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "framework", "official", "python", "typescript", "open-source", "apache-2.0", "self-hosted", "llms-txt", "pipeline", "speech-to-speech", "webrtc", "sip", "no-card" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 72.5, "grade": "BB", "agentReady": true, "rank": 104, "ranked": true, "rankOf": 1133, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 85, "payments": 60, "reliability": 67, "schema": 81, "security": 62, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found.", "bestFor": "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.", "strengths": [ "Apache-2.0 Python and Node.js packages, with 17 Python releases in the 90 days to 15 October 2026", "MCP client with `allowed_tools`, `filter_tools()` and `tool_result_resolver` to limit tools and trim results (Python only)", "Voice-specific tool controls. `disallow_interruptions()`, four `on_duplicate` modes, and interrupted tools keep their result so the model doesn't call them again", "79 provider plugin packages, or LiveKit Inference model strings with one LiveKit key and zero data retention under LiveKit's terms", "Runs entirely self-hosted, with the local `v1-mini` turn detector and no LiveKit account" ], "weaknesses": [ "The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output", "No CHANGELOG file, release notes only on GitHub, and 2.0.0b1 on PyPI since 12 October 2026 with no migration guide found", "705 open issues and pull requests per a GitHub mirror, and 41 of the 68 open issues among the latest 100 had no comment", "No built-in approval step for tool calls, and no prompt-injection guidance found in the docs", "In `dev` mode with LiveKit Cloud credentials, the default turn detector streams user audio to LiveKit Inference" ], "agentNotes": [ "Set `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET` before starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server", "Pass `inference.TurnDetector(version=\"v1-mini\")` to keep turn detection local, and read `MODEL_LICENSE` before using LiveKit's turn models anywhere but LiveKit Agents", "Pass `record=False`, or a dict per category, to `session.start()` if audio, transcripts, traces and logs must not reach LiveKit Cloud", "Call `context.disallow_interruptions()` first in tools that write, and set `on_duplicate=\"reject\"` or `\"confirm\"`. Duplicates are matched by tool name only, not arguments", "Wrap MCP servers in `mcp.MCPToolset` with `allowed_tools` (Python only). The `mcp_servers` parameter is deprecated" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.5 } ], "editorialScores": { "ergonomics": 80, "maintenance": 85, "payments": 60, "reliability": 67, "schema": 81, "security": 62, "transparency": 68 }, "provenanceScore": 95 }, "connect": { "install": "pip install \"livekit-agents[openai,deepgram,cartesia]\" # or: npm i @livekit/agents" }, "letme": { "capability": "https://letme.dev/voice.agent", "tool": "https://letme.dev/livekit-agents" }, "sameCompany": [ "livekit-telephony" ], "area": "voice", "unitPrices": [ { "item": "LiveKit Cloud agent session", "unit": "call-minute", "usd": 0.01, "note": "past the Ship or Scale allowance, models and telephony extra" }, { "item": "LiveKit Cloud agent session recording", "unit": "audio-minute", "usd": 0.005, "note": "past the Ship or Scale allowance" }, { "item": "LiveKit Cloud Ship plan", "unit": "month", "usd": 50, "note": "starting price" }, { "item": "LiveKit Cloud Scale plan", "unit": "month", "usd": 500, "note": "starting price" } ], "provenance": { "legalEntity": "LiveKit Incorporated", "domain": "livekit.com", "domainRegistered": "2000-02-24", "endpointOnVendorDomain": null, "terms": "https://livekit.com/legal/terms-of-service", "privacy": "https://livekit.com/legal/privacy-policy", "statusPage": "https://status.livekit.io", "changelog": "https://github.com/livekit/agents/releases", "securityTxt": "valid", "checked": "2026-10-17", "notes": [ "The framework is Apache-2.0 software the owner runs. The terms (last updated 6 October 2026) govern LiveKit Cloud's Build, Ship and Scale plans, including LiveKit Inference and Agent Observability, between the customer and LiveKit Incorporated of San Francisco.", "The privacy policy (last updated 15 October 2026) covers LiveKit's website and says it does not apply where LiveKit processes data for customers. The sub-processor list is dated 10 September 2026.", "livekit.io answers 308 to livekit.com. RDAP at Verisign gives livekit.com a registration date of 24 February 2000, before the company existed.", "livekit.com/.well-known/security.txt names a security contact, a PGP key and the disclosure policy at https://livekit.com/security/policy, with no Expires field. The repository has no SECURITY.md.", "No CHANGELOG file in the repository. Release notes are on GitHub releases, which couldn't be read from our session. The status page covers LiveKit Cloud, not the framework.", "WebFetch refused every page in this session, so first-hand pages were read with curl after checking each host's robots.txt. status.livekit.io disallows /api/, so its history page was read instead." ], "score": 95 }, "requirements": { "card": "no", "freeTier": true, "minutes": 10, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "yes", "trainsOnData": "no", "zeroRetention": "yes", "certifications": [ "SOC 2 Type II" ], "dpa": true, "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/livekit-agents.json", "live": { "slug": "livekit-agents", "vendorStatus": { "page": "https://status.livekit.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-18T00:08:44.844464506Z" }, "pages": [ { "url": "https://livekit.com/pricing.md", "kind": "pricing", "status": 200, "checkedAt": "2026-10-17T23:05:30.186032003Z", "changedAt": "2026-10-15T21:29:52.209472015Z", "fingerprint": "ca579471fe87" }, { "url": "https://livekit.com/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-17T23:05:25.821555964Z", "changedAt": "2026-10-15T21:29:47.808652564Z", "fingerprint": "34b2795621d7" }, { "url": "https://livekit.com/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-17T23:05:28.023087483Z", "changedAt": "2026-10-15T21:29:50.061909577Z", "fingerprint": "faebb2e03600" } ], "updatedAt": "2026-10-18T00:08:44.844464506Z" } }, "facts": [ { "a": "SDK + MCP", "b": "Agent framework", "name": "Kind" }, { "a": "sshah03 (individual developer, name not stated)", "b": "LiveKit Incorporated", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "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", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-14", "b": "2026-10-15", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "10 stars", "b": "15k stars, 820k npm/wk, 1.1M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "LiveKit Agents scores 72.5 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, CueLight or LiveKit Agents?" }, { "answer": "Yes. CueLight is open source (Apache-2.0). LiveKit Agents is open source (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).", "question": "Are CueLight and LiveKit Agents open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No key needed to call it" ], "goodFor": "A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.", "slug": "cuelight", "watchFor": "English only, and the author does not plan other languages soon" }, { "aheadOn": [ "Reliability, 67 against 29", "Schema \u0026 documentation, 81 against 50", "Agent ergonomics, 80 against 61", "Security \u0026 auth, 62 against 50", "Maintenance \u0026 community, 85 against 46", "Transparency \u0026 trust, 82 against 54" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "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.", "slug": "livekit-agents", "watchFor": "The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output" } ], "job": { "capability": "voice.pipeline", "name": "Voice pipeline" }, "others": [ { "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents.json", "title": "AssemblyAI Voice Agent API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.json", "title": "Bland AI API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/bolna-vs-livekit-agents.json", "title": "Bolna API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/bolna-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents.json", "title": "Deepgram Voice Agent API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents.json", "title": "ElevenLabs Agents API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents.json", "title": "Gemini Live API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents.json", "title": "Hume EVI (Empathic Voice Interface) vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime.json", "title": "LiveKit Agents vs OpenAI Realtime API", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat.json", "title": "LiveKit Agents vs Pipecat", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-placecall.json", "title": "LiveKit Agents vs PlaceCall", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-placecall" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai.json", "title": "LiveKit Agents vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow.json", "title": "LiveKit Agents vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-ultravox.json", "title": 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"https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.json", "title": "Bland AI API + MCP vs CueLight", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight" }, { "json": "https://www.anchorterminal.com/compare/bolna-vs-cuelight.json", "title": "Bolna API + MCP vs CueLight", "url": "https://www.anchorterminal.com/compare/bolna-vs-cuelight" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.json", "title": "CueLight vs Deepgram Voice Agent API", "url": "https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.json", "title": "CueLight vs ElevenLabs Agents API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-hume-evi.json", "title": "CueLight vs Hume EVI (Empathic Voice Interface)", "url": "https://www.anchorterminal.com/compare/cuelight-vs-hume-evi" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat.json", "title": "CueLight vs Pipecat", "url": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm.json", "title": "CueLight vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-retell-ai.json", "title": "CueLight vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-synthflow.json", "title": "CueLight vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vapi.json", "title": "CueLight vs Vapi API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vapi" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vocily.json", "title": "CueLight vs Vocily AI", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vocily" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vogent.json", "title": "CueLight vs Vogent API", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vogent" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.json", "title": "LiveKit Agents vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents.json", "title": "GPT-Live vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents" } ], "scores": [ { "by": 38, "cuelight": 29, "edge": "livekit-agents", "key": "reliability", "livekit-agents": 67, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 31, "cuelight": 50, "edge": "livekit-agents", "key": "schema", "livekit-agents": 81, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 19, "cuelight": 61, "edge": "livekit-agents", "key": "ergonomics", "livekit-agents": 80, "name": "Agent ergonomics", "weight": 13 }, { "by": 12, "cuelight": 50, "edge": "livekit-agents", "key": "security", "livekit-agents": 62, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "cuelight": 60, "edge": "", "key": "payments", "livekit-agents": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 39, "cuelight": 46, "edge": "livekit-agents", "key": "maintenance", "livekit-agents": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 28, "cuelight": 54, "edge": "livekit-agents", "key": "transparency", "livekit-agents": 82, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LiveKit Agents scores 72.5 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. Both do voice pipeline.", "tutorials": [], "verdicts": { "cuelight": "CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.", "livekit-agents": "An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents", "json": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.min.md" }, "markdown": "LiveKit Agents scores 72.5 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. Both do voice pipeline.\n\n- CueLight: grade D, 48.8/100, rank #909 of 1133. Markdown https://www.anchorterminal.com/tools/cuelight.md · JSON https://www.anchorterminal.com/api/v1/tools/cuelight.json\n- LiveKit Agents: grade BB, 72.5/100, rank #104 of 1133. Markdown https://www.anchorterminal.com/tools/livekit-agents.md · JSON https://www.anchorterminal.com/api/v1/tools/livekit-agents.json\n- Best conversational voice-agent APIs: https://www.anchorterminal.com/best/voice-agents/index.md\n- All 184 voice agents comparisons: https://www.anchorterminal.com/compare/voice-agents/index.md\n\n## Which one, for what\n\n### CueLight (D)\n\nGood for: A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: English only, and the author does not plan other languages soon\n\n### LiveKit Agents (BB)\n\nGood 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.\n\nAhead on:\n- Reliability, 67 against 29\n- Schema \u0026 documentation, 81 against 50\n- Agent ergonomics, 80 against 61\n- Security \u0026 auth, 62 against 50\n- Maintenance \u0026 community, 85 against 46\n- Transparency \u0026 trust, 82 against 54\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output\n\n\n## Score by category\n\n| Category | Weight | CueLight | LiveKit Agents | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 29 | 67 | LiveKit Agents +38 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 50 | 81 | LiveKit Agents +31 |\n| Agent ergonomics | 13% (16.2 this run) | 61 | 80 | LiveKit Agents +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 62 | LiveKit Agents +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 85 | LiveKit Agents +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 82 | LiveKit Agents +28 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **48.8 · D** | **72.5 · BB** | |\n\n## Facts side by side\n\n| Fact | CueLight | LiveKit Agents |\n| --- | --- | --- |\n| Kind | SDK + MCP | Agent framework |\n| Vendor | sshah03 (individual developer, name not stated) | LiveKit Incorporated |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | 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 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-14 | 2026-10-15 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | yes |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 10 stars | 15k stars, 820k npm/wk, 1.1M PyPI/wk |\n| Agent reviews | none | 3/5 (4) |\n\n## Verdicts\n\n**CueLight.** CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.\n\n**LiveKit Agents.** An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found.\n\n## Before you call either\n\n### CueLight\n\n1. Feed 320 float32 samples at 16 kHz mono per `push`. Resample first, or the call raises an AssertionError\n2. Spell the preset as `snappy` or `careful`. Any other name silently uses default thresholds\n3. Call `clear()` before a new call or session. Pass `reset_on_turn_start=False` if your pipeline already resets per turn\n4. Pin weights by downloading them to a local folder and passing that path to `from_pretrained`\n5. Don't use it to identify speakers or clone voices. The training data's conditions forbid it\n\n### LiveKit Agents\n\n1. Set `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET` before starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server\n2. Pass `inference.TurnDetector(version=\"v1-mini\")` to keep turn detection local, and read `MODEL_LICENSE` before using LiveKit's turn models anywhere but LiveKit Agents\n3. Pass `record=False`, or a dict per category, to `session.start()` if audio, transcripts, traces and logs must not reach LiveKit Cloud\n4. Call `context.disallow_interruptions()` first in tools that write, and set `on_duplicate=\"reject\"` or `\"confirm\"`. Duplicates are matched by tool name only, not arguments\n5. Wrap MCP servers in `mcp.MCPToolset` with `allowed_tools` (Python only). The `mcp_servers` parameter is deprecated\n\n## Questions\n\n### Which is better for AI agents, CueLight or LiveKit Agents?\n\nLiveKit Agents scores 72.5 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories.\n\n### Are CueLight and LiveKit Agents open source?\n\nYes. CueLight is open source (Apache-2.0). LiveKit Agents is open source (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).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cuelight\", \"b\": \"livekit-agents\"}`. From a terminal: `anchor compare cuelight livekit-agents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cuelight.json and https://www.anchorterminal.com/api/v1/tools/livekit-agents.json\n\n## Other comparisons with CueLight or LiveKit Agents\n\n- [AssemblyAI Voice Agent API vs LiveKit Agents](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents.md)\n- [Bland AI API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.md)\n- [Bolna API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/bolna-vs-livekit-agents.md)\n- [Deepgram Voice Agent API vs LiveKit Agents](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents.md)\n- [ElevenLabs Agents API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents.md)\n- [Gemini Live API vs LiveKit Agents](https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents.md)\n- [Hume EVI (Empathic Voice Interface) vs LiveKit Agents](https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents.md)\n- [LiveKit Agents vs OpenAI Realtime API](https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime.md)\n- [LiveKit Agents vs Pipecat](https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat.md)\n- [LiveKit Agents vs PlaceCall](https://www.anchorterminal.com/compare/livekit-agents-vs-placecall.md)\n- [LiveKit Agents vs Retell AI API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai.md)\n- [LiveKit Agents vs Synthflow API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow.md)\n- [LiveKit Agents vs Ultravox Realtime API](https://www.anchorterminal.com/compare/livekit-agents-vs-ultravox.md)\n- [LiveKit Agents vs Vapi API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-vapi.md)\n- [LiveKit Agents vs Vocily AI](https://www.anchorterminal.com/compare/livekit-agents-vs-vocily.md)\n- [LiveKit Agents vs Vogent API](https://www.anchorterminal.com/compare/livekit-agents-vs-vogent.md)\n- [AssemblyAI Voice Agent API vs CueLight](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-cuelight.md)\n- [Bland AI API + MCP vs CueLight](https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.md)\n- [Bolna API + MCP vs CueLight](https://www.anchorterminal.com/compare/bolna-vs-cuelight.md)\n- [CueLight vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.md)\n- [CueLight vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.md)\n- [CueLight vs Hume EVI (Empathic Voice Interface)](https://www.anchorterminal.com/compare/cuelight-vs-hume-evi.md)\n- [CueLight vs Pipecat](https://www.anchorterminal.com/compare/cuelight-vs-pipecat.md)\n- [CueLight vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm.md)\n- [CueLight vs Retell AI API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-retell-ai.md)\n- [CueLight vs Synthflow API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-synthflow.md)\n- [CueLight vs Vapi API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-vapi.md)\n- [CueLight vs Vocily AI](https://www.anchorterminal.com/compare/cuelight-vs-vocily.md)\n- [CueLight vs Vogent API](https://www.anchorterminal.com/compare/cuelight-vs-vogent.md)\n- [LiveKit Agents vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.md)\n- [GPT-Live vs LiveKit Agents](https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "CueLight vs LiveKit Agents", "url": "" } ], "description": "LiveKit Agents scores 72.5 (BB) to CueLight's 48.8 (D) for voice pipeline. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "CueLight D 48.8", "LiveKit Agents BB 72.5", "scores" ], "h1": "CueLight vs LiveKit Agents", "image": "https://www.anchorterminal.com/assets/og/compare-cuelight-vs-livekit-agents.png", "path": "/compare/cuelight-vs-livekit-agents", "published": "2026-10-01", "section": "tools", "title": "CueLight vs LiveKit Agents for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents" }, "tokens": { "markdown": 2750, "slim": 730 }, "version": 1 }