Memory Python Packages

psutil

Cross-platform lib for process and system monitoring in Python

memray

Memray is a memory profiler for Python

pytest-memray

pytest plugin for easy integration of memray memory profiler

honcho-ai

Memory library for building stateful agents

ps-mem

A utility to accurately report the in core memory usage for a program

umf

A library for constructing allocators and memory pools. It also contains broadly useful abstractions and utilities for memory management. UMF allows users to manage multiple memory pools characterized by different attributes, allowing certain allocation types to be isolated from others and allocated using different hardware resources as required.

reme-ai

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

deeplake

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

openviking

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

mempalace

The best-benchmarked open-source AI memory system. And it's free.

keep-skill

Reflective memory for AI agents

pymemoryeditor

:floppy_disk: Multi-platform library developed with ctypes for reading, writing and searching process memory, in a simple and friendly way with Python 3. The package supports Windows and Linux (32-bit and 64-bit).

volatility3

Volatility 3.0 development

membrowse

Track and analyze binary size and memory footprint in embedded firmware

memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

mind-mem

v3.7.0 — Persistent, auditable, contradiction-safe memory for coding agents. HTTP/REST auth fail-closed by default. Cross-platform atomic rollback (Linux/macOS/Windows). 71 MCP tools, 17 AI clients, hybrid BM25+vector+RRF, mind-mem:4b (Ollama). LoCoMo 86.33 conv-0 (Mistral, +8.4 vs published).

memmachine-common

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

trw-memory

Persistent memory engine with hybrid retrieval, tiered storage, and semantic dedup for AI agents

memmachine-client

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

referrers

Referrers helps to answer the question "what is holding a reference to this object?", which is useful for debugging Python memory leaks and other issues.

astrocyte

Memory for every agent

memtomem

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

pensyve

Universal memory runtime for AI agents — framework-agnostic, protocol-native, offline-first

cellin

build long-lived multimodal memory, dream over it, and retrieve context with transparent weighting