lobu vs rllm
lobu: Lobu is an open-source backend infrastructure designed for autonomous AI agents that can observe, remember, and act within existing team workflows. It provides a multi-tenant environment with sandboxed execution, a durable event log, and a typed knowledge graph to connect company tools and enable agents to run across various platforms.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.
TL;DR
Employee AI assistants: Deploy persistent, sandboxed agents on Slack wired into internal tools and documentation.
Training powerful coding models for tasks like code generation and bug fixing.
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