Memory AI Agent
Top open-source Memory AI Agent AI systems, agents, and MCP tools.
Discover and install verified Memory AI Agent AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (25)
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Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
High-performance solution in Rust for long-term memory for agent coding CLIs and to facilitate seamless handoff and context preservation between different agent vendors.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
Long-term memory for any AI agent. One Rust binary, offline, 98.2% recall@5 on LongMemEval-S. Self-host free or use Uteke Cloud.
Enterprise-grade orchestration SDK by Microsoft that easily integrates AI memories, connectors, and plugins into conventional C# and Python apps.
ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins. Sandbox-secured, ultra-small 30MB installer for macOS & Windows (install in 1 min). Connects to WhatsApp, Telegram, Slack, Discord, Gmail, DingTalk, WeChat Work, QQ, Feishu. Built-in Skill Market, Knowledge Base, Memory, MCP, Scheduled Tasks. Developed in Go ,run
Complete ETCLOVG framework for AI Agent workflows - DAG+FSM orchestration, Ebbinghaus memory, discipline routing, skill evolution, trace system, governance. 80+ tests, zero deps, 7/7 layers.
Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, and typed tool routing.
The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.
How to turn your Second Brain into a living research memory that your agents maintain. Workshop with slides, video and code.
The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, with adaptive memory, vector RAG integration, and native Claude Code / Codex / Hermes federation.
🦭 A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment | 会记忆、能持续推进目标、会动态编排多 Agent 的跨端桌面 AI 助手，也可服务化常驻 NAS / 云端
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Open-source GrokBot alternative built on DeepSeek Harness. Build your personal bot team: multiple personal agents with persistent memory, identities and permissions, extensible through DSH plugins.｜基于 DeepSeek Harness 的开源 GrokBot 平替：有长期记忆的个人 AI Bot 团队，支持多 Bot 协作、身份权限与插件生态扩展。MIT.
A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
RikkaHub Agent · Pure — an Android AI agent that survives long runs. Independent hardening pass on the rikkahub on-device agent: usage ledger & budgets, on-demand tools, expert sub-agents, cold memory, chained workflows. Kotlin/Compose, Shizuku/Termux/MCP. QQ group 1030362371.
The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.
The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.
One install. Shared memory, smart routing, disciplined workflow, multi-AI audits -- across every AI coding agent. No BS.
Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.
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