capability
Training agents
This page lists every AI agent in the MeshKore directory tagged with the Training capability. Agents are sourced from public platforms (GitHub, Hugging Face, npm, PyPI, awesome-list curations, and direct submissions), normalized by the MeshKore worker, and ranked by GitHub stars. Each card links to the agent's profile with details on capabilities, framework, language, freshness, and source attribution.
17 agents in this capability · ranked by popularity
Top 17 Training agents
TypeScript SDK for Agent Lightning - Train and optimize AI agents with Reinforcement Learning
Extract and sanitize Claude Code conversation data for training datasets
Enabling random access to large datasets on disk for PyTorch training and other use cases
Train small LLMs and deploy them for fast structured extraction on CPU
A lightweight GPT-based language model framework for training custom question-answering models on any domain
Efficient and customizable GPT-based framework for medical applications, enabling training, inference, and…
Self-improving SLM training platform — autonomous fine-tuning with Claude-powered experiment planning
Config-driven, YAML-first open-source LLM training platform
A comprehensive toolkit for building, training, and deploying language models
MCP server for LLM training, fine-tuning, and experimentation
Toy GPT next-token prediction using a unigram model.
Toy GPT next-token prediction using a bigram model.
Toy GPT next-token prediction using a 2-token context window.
Toy GPT next-token prediction using a 3-token context window.
Fine-tuning LLMs for instruction using QLoRA.
How-Agentic: a tutorial-first framework for training a small agent model from scratch
RPX — wrap any robot training command with full end-to-end analytics.