Overview
Research summary
LangWatch is a platform for tracing and evaluating AI applications and monitoring how teams use model-powered tools. It includes application observability, simulation-based agent testing, evaluation workflows, prompt management, and integrations with model providers and development agents. The current platform also exposes gateway and governance capabilities for managing AI usage. It supports self-hosting, with important licensing boundaries: the core uses Apache-2.0, SDKs use MIT, and enterprise modules require commercial terms in production. Hosted availability does not remove those distinctions.
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 2026-10-02.
Licence scope
The README specifies separate licensing for platform/app/ee/ enterprise modules.
Implementation
Recorded implementation details and interfaces for LangWatch.
Implementation details
TypeScript platform with SDK integrations, gateway, and agent-testing components
- Languages
- TypeScript
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
The README specifies separate licensing for platform/app/ee/ enterprise modules.
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- 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 5
- https://langwatch.ai Project page · Research reference
- https://github.com/langwatch/langwatch Linked repository · Research reference
- https://github.com/langwatch/langwatch/blob/main/README.md Research reference
- https://github.com/langwatch/langwatch/blob/main/LICENSE.md Research reference
- https://langwatch.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 3 channels
Communities
- Discorddiscord.gg/kT4PhDS2gHOfficial
Social & updates
- Xx.com/langwatchaiOfficial
- LinkedInwww.linkedin.com/company/langwatchOfficial