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.

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.

deeplake

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

reme-ai

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

mempalace

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

volatility3

Volatility 3.0 development

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).

membrowse

Track and analyze binary size and memory footprint in embedded firmware

yantrikdb

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.

keep-skill

Reflective memory for agents

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.

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.

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

Persistent AI memory for Claude Code, OpenClaw, and any MCP-compatible agent. v4.0.9 — Predicate.register() runtime API + CI fully green (26/26 jobs, 12 OS×Python matrix rows). BM25F+vector hybrid, governance-aware, 5428+ tests, 84 MCP tools, 15 clients.

gemcode

Local-first coding agent on Google Gemini + ADK

anamne

Brain-inspired local-first memory layer for Claude, Cursor, and any MCP-compatible AI tool. Three memory layers (episodic / scratchpad / working), ACT-R activation decay, 21 MCP tools. Local SQLite + ChromaDB, no SaaS.

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.

elephant-agent

Personal-Model First Self Evolving AI Agent 🐘

aether-core

Belief substrate for AI systems — persistent, contradiction-aware trust state that outlives any single model. The model is the mouth, the substrate is the self.