memos-engine
Memos builds a structural index (symbols, call edges, imports) of a codebase using tree-sitter and stores it in SQLite. It is the first layer of a larger Memory OS for AI coding agents — instead of grep-ing text, agents query structure (definitions, callers, callees).
No outside reports on file
memos-engine reads local files; restrict its folder reach, network access, and credentials before installing.
Based on public adoption and transparency signals as of Oct 26, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesReads local filesNOTED
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (TAskMAster339/memos-engine)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/TAskMAster339/memos-engine ↗
About Memos Engine
Memos Engine is an MCP server focused on Developer tools and Data & databases: Memos builds a structural index (symbols, call edges, imports) of a codebase using tree-sitter and stores it in SQLite. It is the first layer of a larger Memory OS for AI coding agents — instead of grep-ing text, agents query structure (definitions, callers, callees).
It is hosted on GitHub at TAskMAster339/memos-engine (2 GitHub stars). Based on its public metadata, its operational scope includes: reads local files.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/TAskMAster339/memos-engine.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 2
- Listing last refreshed
- 2026-10-27
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Local file read access: Reads local documents or database files. Point it only at the specific files needed for the task so sensitive workspace files remain out of reach.
- Dependency & version pinning: Distributed via GitHub (TAskMAster339/memos-engine). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install Memos Engine?
Memos Engine does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/TAskMAster339/memos-engine.
Are there security reports about Memos Engine?
No reports found for this package in our research (last checked 2026-10-29). Memos Engine currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is Memos Engine actively maintained?
Memos Engine has 2 GitHub stars. Our directory data was last refreshed on 2026-10-27. Check recent commit activity, release tags, and open issues at github.com/TAskMAster339/memos-engine before pinning it in production.
What are alternatives to Memos Engine?
You can compare Memos Engine side by side with other SQLite, Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
Key facts
- Type
- App connector
- Publisher
- TAskMAster339
- Source code
- github.com/TAskMAster339/memos-engine
- Est. context load
- ~600 tokens / turn (~3 tool schemas, 0.3% of 200k context)
- Popularity
- 2 GitHub stars
- Last updated
- 2026-10-27
- Last graded
- 2026-10-26
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