shared-memory

OpenCL integration for Python, plus shiny features

Sychronized, streaming Python dictionary that uses shared memory as a backend

High-performance and seamless sharing and modification of Python objects between processes, without the periodic overhead of serialization and deserialization. Provides fast inter-process communication (IPC) via shared memory. Supports NumPy, Torch arrays, custom classes (including dataclass), classes with methods, and asyncio

Agent memory platform.

ACC shared memory reader written in python

Shared memory for your AI agents: a fact one agent writes on one machine is there for the next agent and the next machine, with no server in between. AGPL-3.0, alpha.

Quad/octree building for FMMs in Python and OpenCL

High-Performance KV Cache Storage Engine on CXL Shared Memory for LLM Inference

A runnable reference implementation of multi-agent constraint propagation using Caura. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.

Bytecode manipulation in runtime, true shared memory, async LMDB, async Tkinter, async wxPython, async PySide, async PyQt, async loop with almost preemptive multitasking within the single thread, text parsing, rich introspection, etc.

MCP tools for Novyx governed actions, shared memory, audit, rollback, and evidence workflows.

Zero-copy bidirectional GPU texture sharing between TouchDesigner and Python via CUDA IPC. Sub-microsecond per-frame overhead with ring buffer architecture and GPU-side synchronization.

Shared, persistent memory for AI agents. Self-hosted MCP server with semantic search, vector RAG, and live updates. Works with Claude, Cursor, Codex, and any MCP client.

Interprocess environment manager 🧊

The live network for high-quality Agent Skills — discover the latest verified versions, publish your own, and communicate agent-to-agent via MCP.

Yet another easy-to-use python3 parallel library for humans.

A queue implemented using shared memory. 使用共享内存实现的队列

This Universal Shared Memory Bridge enables communication between processes across different programming languages by providing a shared memory interface, facilitating efficient data exchange.

Shared memory and identity for your AI agents — Git-native, self-hosted, no vendor lock-in

Python client-server microservices using the fastest means possible - shared memory. Communication 10-30x faster than almost any other similar python library