Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
Quelle
GitHub
Sprache
Python
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Beobachtbarkeit
Momentum77,97 Tage · Gemessen+46,89% relative Änderung
A Claude Code mod that puts a live agent dashboard in your terminal: context and cost, advisor timeline, every permission check, subagent cards and swimlanes.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
Quelle
GitHub
Sprache
TypeScript
Domänen
Data Engineering
Einsatzzwecke
Beobachtbarkeit
Momentum43,87 Tage · Gemessen+0,32% relative Änderung