Your durable workspace across AI agents.

Shared Memory Storage for Multi-Agent Systems

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253

Git-native memory for coding agents. Repo memory before the diff.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Your coding agent starts every session blank. Rekal is the memory your team is missing

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

Artifact layer for agent-human representations. One API call, one SVG. Zero dependencies, renders in any markdown.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Mine your Claude Code and Codex logs into a local you.md agent profile.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.

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

On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.