Memory Management Python Packages

circular-dict

CircularDict is a high-performance Python data structure that blends the functionality of dictionaries and circular buffers. Inheriting the usage of traditional dictionaries, it allows you to define constraints on size and memory usage. Ideal for caching large data structures while maintaining control over memory footprint.

rmm-cu12

RAPIDS Memory Manager

librmm-cu12

RAPIDS Memory Manager

cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

rmm-cu13

RAPIDS Memory Manager

librmm-cu13

RAPIDS Memory Manager

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.

skills-tree

🌳 A comprehensive collection of all skills available for AI agents and computer-use models — perception, reasoning, memory, code, tool-use, multimodal, orchestration, and more.

anneal-memory

Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.

rma

Redis memory profiler to find the RAM bottlenecks throw scaning key space in real time and aggregate RAM usage statistic by patterns.

memnos

Persistent memory for AI coding agents — MCP server, REST API & Python SDK. Works with Claude Code, Cursor, Windsurf and any LLM agent.

marm-mcp-server

Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, swarm-ready presets, and compaction for clean recall. Includes a live web dashboard for managing memories, logs, and sessions. MCP connects over HTTP & STDIO and works with major LLMs like Claude, Codex, Grok, Gemini, and other models.

memnos-sdk

Persistent memory for AI coding agents — MCP server, REST API & Python SDK. Works with Claude Code, Cursor, Windsurf and any LLM agent.

stress-injector

Python script, to inject memory, CPU and URL stress

memoryos

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings

memorisdk

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.

cortyxia

Cortyxia SDK and CLI Guide

lerim

Compiles AI agent traces and truns them into reusable context.

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.

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.

mindcore-memory

Production-hardened MCP memory server for AI agents: hybrid BM25+FAISS search, circuit breaker, SLO tracking, Prometheus metrics, BND boundary evaluation. Gives AI persistent long-term memory that survives across sessions.

memor

Reproducible Structured Memory for LLMs

pymemtrace

Python memory tracing.

errand-boy

A memory-conscious alternative to os.fork() and subprocess.Popen().