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AI Agents Infrastructure__ai Agents__agent Platforms Orchestration__agent Sdk FrameworkSoftware Development__coding Assistants Copilots__code Chat Q A__code GenerationCustomer Support__helpdesk TicketingSoftware Development__coding Assistants Copilots__code Chat Q ASoftware Development__coding Assistants CopilotsCustomer SupportAI Agents Infrastructure__ai Agents__agent Platforms OrchestrationAI Agents Infrastructure__ai Agents
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Intercom
✓ verifiedPaid
AI-first customer-service helpdesk built around the Fin AI agent, for support teams handling omnichannel conversations.
👁 3.1M/mo
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GitLoop
✓ verifiedFree trial
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
👁 11K/mo♥ 2.7K
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LiveKit
✓ verifiedFreemium
Open-source framework and cloud for building, deploying and scaling realtime voice, video and AI agents.
Pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
Build: $0/mo (free tier)
Ship: from $50/mo
Scale: from $500/mo
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Fin AI agent for customer service
- ✦Omnichannel agent inbox
- ✦AI-assisted ticketing
- ✦Copilot agent assistant
- ✦AI conversation insights and scoring
- ✦No-code automations
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Open-source agents framework (voice/video)
- ✦LiveKit Cloud for deploy and scale
- ✦Inference gateway for STT, LLM and TTS
- ✦Telephony/SIP and phone numbers
- ✦Turn detection and interruption handling
- ✦Full-stack observability and analytics
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating customer support with AI
- →Assisting human agents in real time
- →Routing and resolving tickets
- →Analyzing support quality and trends
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Building realtime voice AI agents
- →Adding voice/video to apps at scale
- →Telephony-enabled AI assistants
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