Specialized agents
Retell AI
Combines voice-agent configuration, telephony integration, simulation testing and production-call monitoring.
Overview
Research summary
Retell AI provides tools to build, test, deploy and monitor voice and chat agents. Developers choose single-prompt or conversation-flow agents, attach knowledge sources and tools, and connect telephony through managed numbers or an external SIP provider. A web SDK supports browser calls. Simulation tests, live transcripts, analytics and post-call extraction help evaluate behavior before and after deployment. APIs and webhooks connect agent activity to other systems, while human call transfer supports escalation.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-05.
Licence scope
Applies to the hosted service; SDKs, generated code, models and other separately licensed components have their own terms.
Implementation
Recorded implementation details and interfaces for Retell AI.
Implementation details
Hosted conversational-agent runtime, phone integrations and management APIs
- Languages
- Unknown
- Repository type
- none
Recorded interfaces and capabilities
Licence scope
Applies to the hosted service; SDKs, generated code, models and other separately licensed components have their own terms.
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
No GitHub repository is recorded for this entry.
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 8
- https://www.retellai.com/ Project page · Research reference
- https://docs.retellai.com/general/introduction Documentation · Research reference
- https://www.retellai.com/pricing Research reference · Commercial offering evidence
- https://www.retellai.com/legal/terms-of-service Research reference
- https://github.com/RetellAI Research reference
- https://docs.retellai.com/features/contact-memory Research reference
- https://docs.retellai.com/build/guardrails Research reference
- https://community.retellai.com/about Research reference
Research metadata
- Research date
- 2026-10-05
- Catalogue snapshot
- 2026-10-06
Community & social 5 channels
Video
- YouTubewww.youtube.com/@retellaiOfficialLearningDemos
Link details for YouTube
- Last checked
Communities
- Discoursecommunity.retellai.comOfficialDiscussionSupport
Link details for Discourse
- Last checked
- Discorddiscord.com/invite/wxtjkjj2zpOfficial
Link details for Discord
- Last checked
Social & updates
- Xx.com/retellaiOfficial
Link details for X
- Last checked
- LinkedInwww.linkedin.com/company/retellaiOfficial
Link details for LinkedIn
- Last checked