Selfship
Surface and fix isues with your agentic applications 24x7
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What is Selfship?
Selfship automatically improves AI agents by monitoring live traffic 24/7, diagnosing failure patterns when multiple customers hit the same issue, generating reviewed GitHub PRs with fixes and eval evidence, and verifying fixes work on real production traffic. Built for teams running LLM-powered agents who want continuous improvement without manual tickets.
Selfship pricing
Pricing model: Freemium
Base: $20/mo (14-day free trial, no credit card required); includes 6,000 sessions/mo with 120-day retention. Add $20 packs for additional sessions. Enterprise: custom pricing with compliance features (HIPAA, GxP, SOC 2 Type II).
Selfship pros
- Closes the full improvement loop automatically—observes, diagnoses, fixes, and verifies without manual intervention
- Works with any LLM and framework (TypeScript and Python SDKs); no vendor lock-in or agent rewrite required
- Fix PRs include eval evidence (impact, sample sessions, before/after scores) so you review with confidence
- Reported median improvements: 60% fewer hallucinations, 20% lower AI spend, 35% faster response times, customer resolution up to 94%
Selfship cons
- Requires GitHub account and repository to set up; not suitable for closed-source deployments
- Base plan limited to 6,000 sessions/month (roughly one customer conversation per session)
- Base plan only retains 120 days of data; compliance features (HIPAA, GxP) require custom Enterprise plan
Frequently asked questions about Selfship
How is Selfship different from LLM observability tools like Langfuse or LangSmith?
LLM observability tools tell you what happened; Selfship keeps going—it diagnoses why, writes the fix, opens a reviewable GitHub PR with eval evidence, and verifies the fix on live traffic before marking it done.
Which LLMs and frameworks does Selfship work with?
Selfship works with any LLM and any agent framework. TypeScript and Python SDKs integrate into your existing stack without requiring you to rewrite your agent.
What improvements can I expect?
Early users reported median improvements in 30 days: 60% fewer hallucinations, 20% lower monthly AI spend, 35% faster responses, and customer resolution improved from 81% to 94%.
What setup is required?
You need a GitHub account and repository for your agent. Sign in at app.selfship.ai, create a workspace (about 2 minutes), and integrate traces with ~2 minutes of engineer time.