tigerless-labs/agent-memory
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
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Product Positioning & Context
AI Executive Synthesis
Ensuring secure data import and preventing arbitrary file writes outside the designated store root. Maintaining system integrity and preventing malicious exploitation during data migration.
This critical vulnerability in the `import_into` function allows directory traversal, enabling an attacker to write arbitrary files outside the intended store root. By exploiting `pathlib.Path`'s `..` traversal, a malicious export file can compromise the host system. This is a severe security flaw, as `mem import` is a documented migration path, implying trust in imported data. The ability to write files anywhere the process has permissions represents a direct path to system compromise. For a B2B SaaS product, such a vulnerability is unacceptable, leading to significant security risks, potential data breaches, and severe reputational damage. Immediate remediation is required to validate target paths against the store root, a fundamental security practice.
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
agent-memory
ai-agents
claude-code
codex
llm
local-first
long-term-memory
markdown
Related Ecosystem & Alternatives
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Deep-Dive FAQs
What is tigerless-labs/agent-memory?
tigerless-labs/agent-memory is analyzed by our AI as: Ensuring secure data import and preventing arbitrary file writes outside the designated store root. Maintaining system integrity and preventing malicious exploitation during data migration.. It focuses on This critical vulnerability in the `import_into` function allows directory traversal, enabling an attacker to write arbitrary files outside the int...
Where did tigerless-labs/agent-memory originate?
Data for tigerless-labs/agent-memory was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was tigerless-labs/agent-memory publicly launched?
The initial public indexing or launch date for tigerless-labs/agent-memory within our tracked developer communities was recorded on September 1, 2026.
How popular is tigerless-labs/agent-memory?
tigerless-labs/agent-memory has achieved measurable traction, logging over 1,440 traction score and facilitating 86 recorded discussions or engagements.
Which technical categories define tigerless-labs/agent-memory?
Based on metadata extraction, tigerless-labs/agent-memory is categorized under topics such as: agent-memory, ai-agents, claude-code, codex.
Are there active development issues for tigerless-labs/agent-memory?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 3 active high-priority issues logged recently.
What are some commercial alternatives to tigerless-labs/agent-memory?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Agentmemory, which offers overlapping value propositions.
How does the creator describe tigerless-labs/agent-memory?
The original author or development team describes the product as follows: "Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key."
Active Developer Issues (GitHub)
Community Voice & Feedback
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Discovery Source

GitHub Open Source
Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
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