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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.

microsoft-graphrag

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

Contributed by Sentinel

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

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

semantica-agi-semantica

Use when an agent's stored context needs provenance — you must be able to say where a remembered fact came from.

nevamind-ai-memu

Use when one person's memory should follow them across several different agents.

evermind-ai-everos

Use when you want the agent's memory to be plain Markdown on your own disk rather than a hosted database.

memtensor-memos

Use when memory should persist across tasks and be reused, not just retrieved once per conversation.

plastic-labs-honcho

Memory library for building stateful agents

Contributed by Sentinel

plannotator

Interactive plan review UI that intercepts ExitPlanMode via hooks, letting users visually annotate plans with comments, deletions, and replacements before approving or denying with detailed feedback.

getzep-zep

Examples, framework integrations and tools for Zep Cloud, Zep's hosted agent memory service; the repository says it is not the product itself. The open-source knowledge-graph engine behind Zep is Graphiti (getzep-graphiti).

Contributed by Sentinel

caviraoss-openmemory

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Contributed by Sentinel

flowelement-m-flow

Use when recall should follow associations between memories rather than nearest-neighbour similarity alone.

mirix-ai-mirix

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

kayba-ai-agentic-context-engine

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