Langfuse

Headlines · 3

1. 2d
   Open-source multi-agent pentest system PentAGI hits GitHub Trending

   PentAGI, listed on GitHub Trending, is an open-source, self-hosted multi-agent system for autonomous penetration testing from VXControl, a security engineering company based in Dubai: a user describes a target and a goal in plain language, and specialized AI agents plan and carry out the work, running 20-plus professional tools such as nmap, Metasploit and sqlmap inside an isolated Docker sandbox before producing a report. The project says it supports 10-plus cloud LLM providers (OpenAI, Anthropic, Gemini, AWS Bedrock, DeepSeek, Qwen and others) plus local models via Ollama or vLLM, and ships with PostgreSQL and pgvector long-term memory, an optional Neo4j/Graphiti knowledge graph, execution monitoring and task planning, REST and GraphQL APIs, and Grafana/Langfuse observability; an enterprise edition adds agent profiles, plugins, MCP servers and a real-time attack-chain view. The maintainers state that PentAGI today is an autonomous or assistant-guided pentest platform, not a CALDERA-style breach-and-attack-simulation product with predefined campaigns, and that it is for authorized testing only.

   GitHub Trending（每日） · 🔥 4
2. 2d
   Claude Platform adds OpenTelemetry agent tracing in public beta

   Anthropic announced OpenTelemetry (OTel) traces from Claude Managed Agents, the Messages API and the Claude SDKs on the Claude Platform, now in public beta, sending agent turns, model calls and tool use to any tool that accepts a standard OTLP endpoint. Managed Agents and the Messages API require a destination configured in the Claude Console, while the SDKs export traces automatically; the data follows OpenTelemetry GenAI semantic conventions and works with Grafana Cloud, Honeycomb, Sentry, Splunk, Datadog, Langfuse, LangSmith, New Relic, PostHog, Arize AI and Braintrust, and can also route to Databricks Unity Gateway for per-team token tracking. The post quotes customers saying Ramp used trace-based evaluation to cut token usage 10–20% and make sessions 30% faster on some agents, a vendor-supplied customer claim.

   Claude Blog · 🔥 0
3. 2d
   Mastra adds trace imports from Langfuse to pull observability history into its platform

   Mastra introduced trace imports for Mastra Platform, letting users pull existing traces from third-party observability providers into Mastra, where they appear alongside Mastra-generated traces for debugging, filtering and comparison. Langfuse is supported first, with more providers to follow; Mastra notes that observability data previously could only be exported out to third parties. Imports preserve span types such as agent_run, model_generation and tool_call, along with parent-child structure, timestamps, inputs, outputs, usage and cost, while scores, feedback, datasets, attachments and logs are omitted. The CLI requires [email protected] and @mastra/[email protected] or later and supports dry-run previews, date windows with --since/--until, and resuming interrupted imports.

   Mastra Blog · 🔥 0

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