LLMOps · Eval

It corrals 500+ news feeds and dozens of data streams into one dashboard so you can monitor geopolitical, financial, and infrastructure signals without sending everything to a cloud LLM.

It builds a persistent structural map of your codebase so AI assistants read only the files in a change's blast radius instead of the whole repo.

This curriculum closes the gap between calling AI APIs and understanding the loss curves underneath.

Headroom sits between your agents and the LLM to compress tool outputs, logs, and RAG chunks, delivering the same answers with a fraction of the tokens.

It is an open-source bridge between large language models and the instant messaging apps you already tolerate.

A terminal tool that scores hundreds of local LLMs against your actual hardware so you stop downloading models that won't fit.

Graphiti continuously ingests structured and unstructured data into temporal context graphs so agents can query what is true now—or was true at any specific moment—without rebuilding the graph from scratch.

A local-first, Rust-built AI agent that connects to 15-plus LLM providers and 70-plus tools, now governed by the Linux Foundation instead of a single company.

It exists because pure vector search often misses the big picture, so LightRAG auto-maps entities and relationships into a knowledge graph for richer retrieval.

Mastra gives TypeScript developers a full-stack toolkit for building autonomous AI agents and workflows, bundling model routing, memory, evals, and observability into a single framework.

Because stitching together LLM workflows, RAG, agents, and observability by hand is a full-time job.

GraphRAG exists to give LLMs a structured memory layer for reasoning over messy, private narrative text.

gstack turns Claude Code into a structured engineering team so a single founder can ship like a twenty-person startup without writing most of the code.

It strips the telltale signs of AI-generated writing from text, replacing statistical blandness with prose that sounds like it came from a person.

An AI job-search filter that scores listings, tailors your CV per role, and tracks the pipeline so you only apply to jobs worth keeping.

Quivr wraps retrieval-augmented generation in a Python library with YAML-configurable workflows, letting you swap LLMs and vector stores without rewriting plumbing.

n8n gives technical teams visual workflow automation without trapping them in a GUI when they need JavaScript, Python, or npm packages.

9Router is a local proxy that auto-switches your AI coding tools from paid to free providers and compresses token-heavy tool outputs so you stop hitting limits.

Minds Platform exists so teams can self-host autonomous AI agents and semantic search without shipping data to a managed cloud.

OpenHands exists so autonomous coding agents can plug into your workflow whether you want a Python library, a terminal tool, or a full cloud suite.