mcp-mem0@0.2.0
CAUTION· not startedPublisher claims: "Cross-session memory system for AI Agent tools, powered by mem0 + Qdrant + MCP" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Registry PyPI (MCP server)Publisher ccperdst-lab · publishing for 203 daysInstalls 21Last detonated 6d ago
Coverage
Not started: dependency install failed; the server itself was not observed.- Tested
- the dependency install step · every file read, file written and host contacted by what ran
- Not tested
- server startup · the tool list · tool behavior
What this means for the label: Caution here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
- It will ask for
OPENAI_API_KEY- Where it talks to
- no vendor host named in the codeAlso docker.com, ollama.ai — not the publisher's domain; check what for before connecting.
- What the honeypot saw
- no credential files read · no network
- What we could not test
- server startup · the tool list · tool behavior
Connect it with a scoped credential, under the guard, and read the third-party hosts first. The code names docker.com, ollama.ai as well as its own vendor. The guard injects OPENAI_API_KEY only into requests to the host you bind (and its subdomains) and refuses the rest.
$vet-skills run --net declared -- uvx mcp-mem0
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-08 and scored it 73/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Access to sensitive file paths; Pipe-to-shell pattern; Access to sensitive file paths. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 2 scenarios · 0 deviationst+CategoryObserved action
0.0sprocessno install scripts in bundle
0.2sprocessdependency install exit 1 ·
0.2sclaimednot started: dependency install failed (exit 1); the server itself was not observed
0.2sprocessscript backend runs setup only
0.2sprocessno install scripts to re-run
Static findings
MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/ollama.py:94 · Python subprocess execution detected
AST05subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/docker.py:78 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Remote installer piped to shellsrc/agent_mem0/installer/docker.py:51 · Remote installer piped to shell
AST07return ["sh", "-c", "curl -fsSL https://get.docker.com | sh"]Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/docker.py:36 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Remote installer piped to shellsrc/agent_mem0/installer/ollama.py:31 · Remote installer piped to shell
AST07return ["sh", "-c", "curl -fsSL https://ollama.ai/install.sh | sh"]Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.HIGH
Access to sensitive file pathssrc/agent_mem0/templates/skill.md:21 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files
AST05- .env.example → 环境变量Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.CRITICAL
Pipe-to-shell patternsrc/agent_mem0/installer/docker.py:51 · Pipe-to-shell pattern — downloads and immediately executes remote code
AST06return ["sh", "-c", "curl -fsSL https://get.docker.com | sh"]Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.HIGH
Access to sensitive file pathssrc/agent_mem0/installer/claude_code.py:212 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files
AST05- .env.example → 环境变量Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/docker.py:67 · Python subprocess execution detected
AST05subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.CRITICAL
Pipe-to-shell patternsrc/agent_mem0/installer/ollama.py:31 · Pipe-to-shell pattern — downloads and immediately executes remote code
AST06return ["sh", "-c", "curl -fsSL https://ollama.ai/install.sh | sh"]Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/ollama.py:81 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/docker.py:62 · Python subprocess execution detected
AST05subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.HIGH
Access to sensitive file pathstemplates/skill.md:21 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files
AST05- .env.example → 环境变量Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/ollama.py:111 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.LOW
Instructs the agent to modify its persistent memory or instruction filessrc/agent_mem0/installer/wizard.py:449 · Instructs the agent to modify its persistent memory or instruction files · informational: not an instruction file · informational: not an instruction file
AST01steps.append(Step("inject_rules", "写入 CLAUDE.md 记忆规则", weight=5))Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/uninstall.py:239 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/qdrant.py:21 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.LOW
Instructs the agent to modify its persistent memory or instruction filessrc/agent_mem0/installer/claude_code.py:110 · Instructs the agent to modify its persistent memory or instruction files · informational: not an instruction file · informational: not an instruction file
AST01"""Append or update agent-mem0 memory rules in global CLAUDE.md."""Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/qdrant.py:56 · Python subprocess execution detected
AST05restart = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/qdrant.py:40 · Python subprocess execution detected
AST05result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.MEDIUM
Python subprocess execution detectedsrc/agent_mem0/installer/progress.py:189 · Python subprocess execution detected
AST05proc = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Instructions loaded
≈440 tok
3 files · 30 in bundle
Tool list per prompt
≈0 tok
0 tools · 0 per tool
Handshake
no reply
launch to tools/list, stdio
Undocumented tools
0
description under 20 chars · avg 0
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
No advisories in OSV for mcp-mem0@0.2.0 as of 6d ago. This is the package itself, not its dependencies.
What would make this Verified
7 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Pipe-to-shell pattern≈ +9 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- Unclaimed publisher≈ +8 on the totalClaim ccperdst-lab: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Access to sensitive file paths≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- Remote installer piped to shell≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
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