MemTensor/MemOS

C3

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.

★ 11k+ · MemTensor/MemOS source on GitHub · this plugin in the registry

MemTensor/MemOS is a DeepSeek Harness plugin rated C3 — powerful capability combined with sensitive behavior. It patches the dsh runtime, runs code at install time, can rewrite the system prompt, executes system commands.

Installable plugin — declares a dsh.bundle manifest

What it can do

CapabilityFlagEvidence
patches the dsh runtimeruntime_patch./adapters/deepseek-harness/cordis.patch.yml
runs code at install timeinstall_scriptpostinstall: electron-rebuild && npm --prefix skills/dev-browser install && npm --prefix skills/file-permission install && npm --prefix skills/ask-user-question install
can rewrite the system promptprompt_surfacesystemPrompt
executes system commandsexec×18 in authored code, e.g. apps/memos-local-openclaw/scripts/postinstall.cjs:4, apps/memos-local-openclaw/scripts/postinstall.cjs:4
decodes base64 payloadsbase64_decode×7 in authored code, e.g. apps/memos-local-openclaw/src/hub/auth.ts:22, apps/memos-local-plugin/core/hub/auth.ts:65
starts a network servernet_server×4 in authored code, e.g. apps/memos-local-plugin/server/http.ts:87, apps/memos-local-openclaw/src/hub/server.ts:71
reads credential-class env varstoken_envEMBEDDING_API_KEY, OPENCODE_GO_API_KEY, OPENCODE_ZEN_API_KEY, SUMMARIZER_API_KEY

Services it injects

llm systemPrompt tools

Hooks it attaches

agent/pre-step llm/adapters-updated session/disposed session/event

Outbound domains

api.openai.com generativelanguage.googleapis.com api.anthropic.com api.mistral.ai api.voyageai.com memos.memtensor.cn api.cohere.ai fonts.googleapis.com api.cohere.com memos-dashboard.openmem.net

Environment variables it reads

USERPROFILE MEMOS_ARMS_ENDPOINT OPENCLAW_STATE_DIR MEMOS_ARMS_PID MEMOS_ARMS_ENV OPENCLAW_CONFIG_PATH EMBEDDING_ENDPOINT SUMMARIZER_ENDPOINT EMBEDDING_API_KEY EMBEDDING_MODEL

How to read this

Levels measure capability surface and transparency, not maliciousness. A C3 plugin can be entirely legitimate — a desktop shell genuinely needs subprocesses. The point is that you can see this before installing. See the levels explained and how dsh plugins work.

Findings come from static analysis of shipped code; nothing is executed. Think a flag is wrong? Open an issue — every flag cites the file and line it came from.