Nehanth/pooled
Peer-to-peer LLM inference in the browser: pool your devices to run big open models, for chat and coding agents.
Repositories
Nehanth/llama-stack
Composable building blocks to build Llama Apps
Nehanth/agent-improvement-rfc
RFC: Agent Improvement — Trace-Driven Webhooks and Self-Improving Workflows for MLflow
Nehanth/openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Nehanth/Nehanth
Profile
Nehanth/mlflow
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Nehanth/memory-hub
MemoryHub: Kubernetes-native agent memory component for OpenShift AI
Nehanth/CoDoc
Eyes on the patient, not the keyboard.
Nehanth/mem0
Universal memory layer for AI Agents
Nehanth/superset
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
Nehanth/rfcs
A repository to store RFCs (design doc, decision log, etc) for MLflow development
Nehanth/nps_agent
Nehanth/agentevals
Nehanth/agents
Nehanth/llm_p2p
Nehanth/llama-stack-provider-trl
Nehanth/training
InstructLab Training Library - Efficient Fine-Tuning with Message-Format Data
Nehanth/lightspeed-service
Core repository for an AI-powered OCP assistant service
Nehanth/lightspeed-operator
Operator for the OpenShift Lightspeed Service
Nehanth/instructlab
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
Nehanth/taxonomy
Taxonomy tree that will allow you to create models tuned with your data
Nehanth/EOG
EOG