powermem and openclaw-mem0
PowerMem is a long-term memory system that OpenClaw agents can integrate via the Mem0-powered memory plugin, making them complementary components of an agent memory stack rather than direct competitors.
About powermem
oceanbase/powermem
PowerMem: Your AI-Powered Long-Term Memory — Accurate, Agile, Affordable. Also friendly support for the OpenClaw (Clawdbot) Memory Plugin.
This project helps AI application developers build large language models that can 'remember' past interactions, user preferences, and contextual information over time. It takes in conversational data, user behavior, and other contextual inputs, and provides an intelligent memory system that stores, retrieves, and updates this information efficiently. It's for engineers and product managers building AI assistants, personalized recommendation systems, or multi-agent AI systems who need their AI to learn and adapt.
About openclaw-mem0
tensakulabs/openclaw-mem0
Long-term memory plugin for OpenClaw agents, powered by Mem0. Self-hosted with any OpenAI-compatible provider.
Provides five memory management tools (`memory_search`, `memory_store`, `memory_list`, `memory_get`, `memory_forget`) with automatic recall injection before agent turns and auto-capture after turns, supporting both session and long-term memory scopes. Implements lazy provider loading to avoid bloated SDK imports, and vendors a patched Mem0 build that fixes critical bugs in embeddings routing and memory recall in self-hosted deployments using Qdrant vector storage. Integrates seamlessly with OpenClaw's plugin system and supports any OpenAI-compatible LLM provider (OpenRouter, DashScope, LocalAI) alongside Mem0's cloud platform.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work