AgentCPM

What it can do

• Train LLM agents

  Training data and model configuration → Trained LLM agent models

• Evaluate agent performance

  Trained agents and evaluation datasets → Performance metrics and benchmarks

• Manage agent training data

  Raw training datasets → Processed and formatted training data

• Deploy trained agents

  Trained agent models → Deployed agent instances

• Monitor agent lifecycle

  Agent instances and usage data → Lifecycle tracking reports

• Execute agent evaluations

  Agent models and test scenarios → Evaluation results and analytics

Why it made the leaderboard

End-to-end infrastructure for training and evaluating LLM agents — covers the full lifecycle from data to eval, so you are not gluing together separate training and benchmarking stacks.

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