recall
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code , Opencode durable memory — entirely offline.
2 outside reports on file
recall is distributed via GitHub (raiyanyahya/recall); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionRuns shell or system commandsREVIEW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (raiyanyahya/recall)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/raiyanyahya/recall ↗
About Recall
Recall is an MCP server focused on Developer tools and Memory & knowledge: Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code , Opencode durable memory — entirely offline.
It is hosted on GitHub at raiyanyahya/recall (764 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
Check these steps against the project’s own instructions before running anything.
No standalone npm or PyPI package is listed for this MCP server. Clone and inspect the source repository directly:
git clone https://github.com/raiyanyahya/recall.git
Review the README and source files in https://github.com/raiyanyahya/recall (opens external site) before running any setup commands.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 764
- Listing last refreshed
- 2026-10-28
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
Reports from our research that name this package. We list them as published and do not rate them.
- Listed in the MalSkillBench malicious-skill datasetMalSkillBench benchmark samples · same name as a listed skill, not confirmed to be this one
- Listed in the MalSkillBench malicious-skill datasetMalSkillBench benchmark samples · same name as a listed skill, not confirmed to be this one
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (raiyanyahya/recall). 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 Recall?
Recall does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/raiyanyahya/recall.
Are there security reports about Recall?
2 reports were found for this package in our research. Titles and dates (MalSkillBench benchmark samples) are listed in the Reports section above. Recall currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.
Is Recall actively maintained?
Recall has 764 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/raiyanyahya/recall before pinning it in production.
What are alternatives to Recall?
You can compare Recall side by side with other Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.
Key facts
- Type
- App connector
- Publisher
- raiyanyahya
- Source code
- github.com/raiyanyahya/recall
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 764 GitHub stars
- Last updated
- 2026-10-28
- Last graded
- 2026-10-21
Community
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