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13 packages
@memtensor/memmy-memory-cli
Memmy Memory CLI for local agent memory.
@memtensor/memos-api-mcp
A Model Context Protocol (MCP) implementation for the [MemOS](https://github.com/MemTensor/MemOS) API service. This package provides a command-line interface to interact with MemOS API using MCP standards.
@memtensor/memos-cloud-cli
MemOS CLI - Universal memory interface for AI agents
@memtensor/memos-cloud-dsh-plugin
MemOS Cloud lifecycle memory plugin for DeepSeek Harness
@memtensor/memos-cloud-openclaw-plugin
OpenClaw lifecycle plugin for MemOS Cloud (add + recall memory)
@memtensor/memos-cloud-skill
MemOS Cloud Server API skill. Provides the agent with capabilities to add, search, delete messages and add feedback to MemOS cloud memory.
@memtensor/memos-harness-template
MemOS-oriented Harness scaffold for AI coding agents: AGENTS.md / CLAUDE.md / CODEX.md, Cursor rules, design docs (core-beliefs, ADR, delivery SOP), dependency-cruiser, Husky, freshness & CI scripts. Non-interactive npm CLI copies templates and prints an
@memtensor/memos-lite-openclaw-plugin
MemOS Lite memory plugin for OpenClaw — full-write, hybrid-recall, progressive retrieval
@memtensor/memos-local-hermes-plugin
MemTensor Local memory plugin for Hermes Agent
@memtensor/memos-local-openclaw-plugin
MemOS Local memory plugin for OpenClaw — full-write, hybrid-recall, progressive retrieval
@memtensor/memos-local-plugin
Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.
@memtensor/memos-mcp
@memtensor/project-harness
A natural-language-first, private-overlay project harness for coding agents.