Browse

mirix-ai-mirix

Use when what the agent should remember is what actually happened on screen, consolidated into structured memories.

sysbox

Next-generation container runtime enabling Docker-in-Docker and VM-like isolation without privileged containers.

ralph-orchestrator

Ralph Orchestrator implements the simple but effective "Ralph Wiggum" technique for autonomous task completion, continuously running an AI agent against a prompt file until the task is marked as complete or limits are reached. This implementation provides a robust, well-tested, and feature-complete orchestration system for AI-driven development. Also cited in the Anthropic Ralph plugin documentation.

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.

claude-codepro

A development environment for Claude Code with a spec-driven workflow, TDD enforcement, cross-session memory, semantic search, quality hooks and modular rules. Large, with wide coverage.

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.

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.

the-ralph-playbook

A detailed guide to the Ralph Wiggum technique for autonomous coding loops, with the reasoning behind it and practical guidelines.

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).