Langfuse
Open-source LLM/agent tracing, evals, prompt management; self-host or cloud.
Community
What it helps with
Baseline-vs-after measurement of an agent's own runs (cost, latency, success) when a skill is added.
Agent jobs: Venture operator, Any agent
Capability gaps: Measurement, Quality verification
Security scan and details
- Scan result
- Vetted pass · 2026-10-17
- Scan notes
- Automated scan: review (medium 22, high 2) at commit e3a2bee2a2c0 on 2026-10-17. Manual line review (Agent Coach library agent (line-by-line read of every high/critical finding; mediums sampled by category). Not an owner sign-off., 2026-10-17): pass. Highs: preinstall only enforces pnpm; postinstall runs scripts/postinstall.sh which syncs repo-local agent shims and exits if absent; env.mjs is the app's env schema; ~/.aws/credentials appears as UI text in an API-key form; gitleaks hits are model-pricing migration rows and CI placeholders.
- License
- NOASSERTION
- GitHub stars
- 35,964
- Last updated
- 2026-10-17
- Cost
- freemium
- Source
- github.com/langfuse/langfuse
- Repo
- langfuse/langfuse
Automated static scan of the source at a pinned commit (custom prompt-injection, malware and exfiltration rules plus semgrep, gitleaks and osv-scanner); flagged lines get a manual review. Hosted APIs with no code to scan stay at Needs review. A scan lowers risk; it doesn't prove safety.
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