Browse

karpathy-coding-discipline

Drop into CLAUDE.md/AGENTS.md as the first behavior norm a coding agent ingrains: think before coding, prefer the simplest solution, change only what you own, and execute toward the stated goal.

thedotmack-claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Contributed by Sentinel

mempalace

Use when you want an agent memory system whose recall quality has actually been benchmarked rather than asserted.

sentry-llm-monitoring

Sentry's error and performance monitoring extended to LLM applications. It captures exceptions, latency, and AI token usage with OpenTelemetry integration.

microsoft-graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Contributed by Sentinel

mlflow-tracing

MLflow's LLM tracing module instruments model calls, agent steps, and tool invocations, storing them alongside experiment runs for reproducibility.

langfuse

Open-source LLM engineering platform with traces, evals, prompt management, and datasets for debugging and improving LLM applications.

volcengine-openviking

Use when an agent's memory, retrieved knowledge and learned skills should live in one store that reorganises itself.

garrytan-gbrain

Garry's Opinionated OpenClaw/Hermes Agent Brain

Contributed by Sentinel

getzep-graphiti

Build Real-Time Knowledge Graphs for AI Agents

Contributed by Sentinel

topoteretes-cognee

Use when an agent needs long-term memory backed by a knowledge graph you can host yourself.

supermemoryai-supermemory

Use when memory has to be fast, run locally, and be reachable from an app as well as an agent.

tencentcloud-tencentdb-agent-memory

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

Contributed by Sentinel

letta-ai-letta

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

Contributed by Sentinel

humanlayer-12-factor-agents

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Contributed by Sentinel

promptfoo

CLI and library for testing, comparing, and red-teaming LLM prompts and agents with assertions and CI integration.

claude-hud

A status line for Claude Code that shows context usage, tools, agents, to-dos and more. Highly configurable, and maintained when it was listed.

openai-evals

OpenAI's official framework for evaluating LLMs and LLM-powered systems, with a registry of community eval sets.

lm-evaluation-harness

EleutherAI's unified framework for evaluating language models on hundreds of academic benchmarks.

gibsonai-memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Contributed by Sentinel

comet-opik

Opik by Comet is an open-source LLM evaluation and tracing platform: log traces, run automated evals, create datasets, and track prompt improvements over time.

opentelemetry-genai

OpenTelemetry semantic conventions and instrumentation for GenAI/LLM spans, traces, and metrics via the GenAI semconv working group.

deepeval

Open-source LLM evaluation framework with 14+ metrics (hallucination, faithfulness, answer relevancy) and CI support.

ragas

Reference-free evaluation of retrieval-augmented generation pipelines; measures faithfulness, answer relevance, and context precision.