Membot
未认领MCP server that gives AI agents physics-enhanced memory via swappable brain cartridges
安装
python /path/to/membot/membot_server.py更多AI & ML服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
18 个工具中显示 18 个
文档中列出的工具 (18)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
federate_consolidate
Find cross-machine matches across mounted carts, write a consolidated cart
federate_load
Mount every machine's federated cart in a fleet directory at once
federate_migrate_jsonl
One-time migration from JSONL learning logs to brain carts
federate_publish
Append session learning entries to a machine's federated cart
get_passage
Retrieve a specific passage by index (for navigation and drill-down)
get_status
Server diagnostics (mounted cartridge, memory count, GPU status)
list_cartridges
Browse available brain cartridges with size and capabilities
memory_search
Multi-signal search: cosine + Hamming + keyword reranking
memory_store
Store new text into the mounted cartridge
mount_cartridge
Load a cartridge into memory (embeddings + optional GPU brain)
multi_list
List every cart currently mounted in the pool
multi_mount
Add a cart to the multi-cart pool with optional cartid and role
multi_mount_directory
Mount every cart in a directory matching a glob pattern (used by federation)
multi_search
Search across mounted carts with scope and rolefilter, results attributed to source
multi_unmount
Remove a cart from the pool by cartid
passage_links
Get navigation links (prev/next/parent/related) for a passage
save_cartridge
Persist the current cartridge to disk (secure NPZ format)
unmount
Free memory and unload the current cartridge