recall

MCP server · GitHub · ★ 764 · graded 2026-10-21Source linked

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.

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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 ↗

All setup options ↓

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:

bash
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

CC — Moderate risk signals

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

32/100
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.

Check a specific version →

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.

README badge and team notes

Maintain or use Recall? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Recall

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Recall](https://agentarmorhq.com/api/badge/raiyanyahya-recall)](https://agentarmorhq.com/skills/raiyanyahya-recall)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/raiyanyahya-recall"><img src="https://agentarmorhq.com/api/badge/raiyanyahya-recall" alt="AgentArmorHQ Risk Grade for Recall" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "raiyanyahya-recall"

Share with your security lead

Need sign-off to use recall? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: recall
- **Listing URL:** https://agentarmorhq.com/skills/raiyanyahya-recall
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 2
- **Public Adoption:** 764 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (raiyanyahya/recall)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/raiyanyahya/recall
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee._

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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