ИИ-агенты
mempalace
The best-benchmarked open-source AI memory system. And it's free.
★ 59,4 тыс. звёздMIT
Смотреть руководство →memsearch — проект с открытым исходным кодом из категории «ИИ-агенты» от zilliztech (zilliztech/memsearch на GitHub). У него 2 712 звёзд на GitHub и 264 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 24 сентября 2026.
Persistent memory layer for AI agents, backed by Markdown and Milvus.
Set up the memory service.
Link Claude Code, Codex, or DSH.
Agents write and recall context automatically.
Query past context with Milvus-powered search.
One layer for every agent you run.
Human-readable memory storage.
Vector search over memories.
Agents remember between runs.
Drop-in integration.
Share memory across tools.
Download the source and move into the project folder.
git clone https://github.com/zilliztech/memsearch.git
cd memsearchEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at zilliztech/memsearch with 264 forks, from the Zilliz team.
Yes. MIT licensed.
Yes. Milvus backs the vector search layer.
Claude Code, Codex, DSH, and others; see the docs.
Self-host it and everything stays on your infrastructure.
The best-benchmarked open-source AI memory system. And it's free.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Give your coding agents a persistent memory that survives every session.
Drop-in persistent memory infrastructure for AI agents and apps.
Open-source AI memory that gives agents persistent long-term recall.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если memsearch вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к memsearch — продолжайте изучать полку по обе стороны от него.
Chinese Java course: build AI agents with Spring AI, RAG, MCP, and tool calling.
Sync your AI coding setup: skills, agents, rules, MCP, hooks, everywhere.
Rebuild Claude Code’s core in ~5,000 lines: an 11-chapter coding-agent masterclass.
Multi-agent court inspired by ancient China: specialized agents debate and decide.
Terminal security that stops malicious prompts, URLs, and payloads before they run.
MCP aggregator, orchestrator, middleware and gateway in one Docker — compose many servers into one endpoint
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.