iai-personal-memory-engine
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
No outside reports on file
This tool is useful for local memory but carries moderate risk because it stores unencrypted personal data and gives AI assistants full access to everything remembered.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (CodeAbra/iai-personal-memory-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/CodeAbra/iai-personal-memory-engine ↗
About Iai Personal Memory Engine
This tool stores information from your conversations with AI assistants and makes that information available later. It remembers details you share and learns your preferences over time, so the AI can reference past conversations in new chats.
Who it’s for
Developers and AI users who want their AI assistant to remember context across multiple sessions. People using Claude, Cursor, or similar tools who want persistent memory without storing data on external servers.
Alternatives
- Anthropic's built-in conversation history: Claude Desktop and Claude.ai natively retain conversation threads with basic recall.
- LLM local storage tools: Projects like Ollama or LocalAI with conversation logging built in.
- Third-party memory services: Tools like Mem0 or Recall offer memory features but store data on their servers (different privacy trade-off).
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README
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
- 916
- Listing last refreshed
- 2026-10-29
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 data storage: Stores all conversation history locally; if your computer is compromised, an attacker could read all stored memories and personal details.
- No encryption mentioned: The README does not describe encryption of stored data, so sensitive information may be readable in plain text on disk.
- AI prompt injection: If memory contains text from untrusted sources, that text could be crafted to trick the AI into ignoring safety guidelines or revealing system information.
- Broad AI access: The tool gives your AI assistant access to all stored memories; no fine-grained controls are described to limit what it can see.
- Dependency risks: Like any npm package, security depends on the project maintainer; few weekly downloads and limited community scrutiny mean bugs could go unnoticed.
How to lower the risk
Least-privilege permissions
- Run the AI tool with minimal system permissions; don't give it access to files outside your project folder.
- Review what data you feed into memory before it gets stored.
Network isolation
- Keep this tool offline or block network access if possible; no cloud sync is needed for local memory.
- Do not add credentials, API keys, or passwords to stored memories.
Monitoring
- Periodically check the stored memory files to see what has been recorded.
- Watch for unusual AI responses that might signal injected or corrupted memory.
Red flags to watch for
- Memory files growing unusually large or changing without your action.
- AI suddenly referencing details you don't remember sharing or that don't match past conversations.
Questions
How do I install Iai Personal Memory Engine?
Iai Personal Memory Engine does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/CodeAbra/iai-personal-memory-engine.
Are there security reports about Iai Personal Memory Engine?
No reports found for this package in our research (last checked 2026-10-29). Iai Personal Memory Engine currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include local data storage, no encryption mentioned, ai prompt injection.
Is Iai Personal Memory Engine actively maintained?
Iai Personal Memory Engine has 916 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/CodeAbra/iai-personal-memory-engine before pinning it in production.
What are alternatives to Iai Personal Memory Engine?
Notable alternatives to Iai Personal Memory Engine include Anthropic's built-in conversation history (Claude Desktop and Claude.ai natively retain conversation threads with basic recall), LLM local storage tools (Projects like Ollama or LocalAI with conversation logging built in), Third-party memory services (Tools like Mem0 or Recall offer memory features but store data on their servers (different privacy trade-off)). You can also compare Iai Personal Memory Engine side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Iai Personal Memory Engine? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/codeabra-iai-personal-memory-engine)HTML embed:
<a href="https://agentarmorhq.com/skills/codeabra-iai-personal-memory-engine"><img src="https://agentarmorhq.com/api/badge/codeabra-iai-personal-memory-engine" alt="AgentArmorHQ Risk Grade for Iai Personal Memory Engine" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "codeabra-iai-personal-memory-engine"- Compare Iai Personal Memory Engine →
- Add to a team allowlist
- Claude and terminal guide →
- Download the PDF guide
Share with your security lead
Need sign-off to use iai-personal-memory-engine? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: iai-personal-memory-engine
- **Listing URL:** https://agentarmorhq.com/skills/codeabra-iai-personal-memory-engine
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 916 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (CodeAbra/iai-personal-memory-engine)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/CodeAbra/iai-personal-memory-engine
- **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 23, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- CodeAbra
- Source code
- github.com/CodeAbra/iai-personal-memory-engine
- Est. context load
- ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
- Popularity
- 916 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-23
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