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laminar

Laminar is an open-source platform for tracing, evaluating, and labeling LLM and agent pipelines with a TypeScript/Python SDK and a self-hostable backend.

kayba-ai-agentic-context-engine

Use when an agent should carry forward what it learned from its own successes and failures into later runs.

memodb-io-memobase

User Profile-Based Long-Term Memory for AI Chatbot Applications.

Contributed by Sentinel

t-ches-claude-code-resources

A set of sub-agents, skills and commands with a focus on meta-tools, such as a skill auditor and hook creation, meant to be adapted to your workflow.

zilliztech-memsearch

Use when several coding agents should share one memory store instead of each keeping its own notes.

kingjulio8238-memary

Use when you want a well-known reference implementation of agent memory over a knowledge graph to read or fork.

open-operator

Browserbase Open Operator: an open-source Operator-style web agent built on Stagehand; demonstrates full task decomposition, action planning, and evidence collection using the Browserbase cloud.

notte

Notte open-source web agent environment. It converts browser sessions into a Markov Decision Process with structured observation/action spaces, making browsers first-class RL and LLM agent environments.

redplanethq-core

Use when one memory graph should serve Claude Code, Codex and your other assistants at once.

langchain-ai-langmem

Long-term memory for agents: tools that extract what matters from conversations, refine prompts from feedback and keep memory across sessions, with LangGraph's store built in.

Contributed by Sentinel

bai-lab-memoryos

Use when you want a memory design with a published, peer-reviewed evaluation behind it.

cortexkit-magic-context

Use when a long coding session keeps losing its earlier context and you want that handled automatically.

e2b-desktop

E2B Desktop Sandbox: a cloud virtual desktop (Ubuntu + VNC) with Python SDK for screenshot, mouse, keyboard, and process control; designed for AI agents that need a full GUI environment in an isolated VM.

openinference

OpenInference is an open standard and Python/JS instrumentation library for capturing LLM and agent traces in OpenTelemetry format, built by Arize AI.

context-engineering-kit

Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.

dataojitori-nocturne-memory

Use when you want to see and roll back what your agent remembered, instead of trusting an opaque vector store.

agent-e

Emergence AI agent-E browser agent: hierarchical LLM-based web automation that uses DOM distillation and action abstraction layers to achieve significantly higher benchmark accuracy than prior browser agents.

langsmith

LangChain's platform for tracing, evaluating, and monitoring LLM applications: deep integration with LangChain/LangGraph plus a REST API for any stack.

claudiodrews-memory-os

Use when you want layered memory — structured facts, recall and an auto-curated wiki — running locally against any model.

codex-skill

Enables users to prompt codex from claude code. Unlike the raw codex mcp server, this skill infers parameters such as model, reasoning effort, sandboxing from your prompt or asks you to specify them. It also simplifies continuing prior codex sessions so that codex can continue with the prior context.

agiresearch-a-mem

A-MEM: Agentic Memory for LLM Agents

Contributed by Sentinel

webvoyager

Research browser agent from Zhejiang University and HKU. It uses GPT-4V interleaved screenshot + HTML observations to complete open-ended web tasks; established an early web-agent benchmark (WebVoyager).

claude-codex-settings

A set of plugins for core developer tasks, covering GitHub, Azure, MongoDB, Tavily, Playwright and more. Also works with a few other providers.

agentsys

Workflow automation system for Claude with a group of useful plugins, agents, and skills. Automates task-to-production workflows, PR management, code cleanup, performance investigation, drift detection, and multi-agent code review. Includes agnix for linting agent configurations. Built on thousands of lines of code with thousands of tests. Uses deterministic detection (regex, AST) with LLM judgment for efficiency. Used on many production systems.