Context7: Context7 is an MCP server that injects up-to-date, version-specific library documentation directly into LLM prompts. Add "use context7" to any coding prompt and it fetches current docs for the library you're working with, eliminating hallucinated APIs and outdated code examples. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible editor.; verl-agent: `verl-agent` extends veRL to train LLM agents using reinforcement learning, featuring a novel step-independent multi-turn rollout mechanism. This design ensures high scalability for long-horizon tasks by allowing customizable per-step input structures and memory management.
Preventing LLMs from hallucinating deprecated or non-existent API methods
Training large language model agents for complex multi-turn, long-horizon tasks.