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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.

wshobson-agents

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, and Google Antigravity

Contributed by Sentinel

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.

voltagent-awesome-claude-code-subagents

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

Contributed by Sentinel

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

promptfoo

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

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

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.

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.

phoenix

Arize Phoenix: open-source LLM observability with built-in evals, span tracing, and dataset curation for RAG and agents.

plastic-labs-honcho

Memory library for building stateful agents

Contributed by Sentinel