by memorax-ai
A memory plugin for AI coding that turns engineering experience, repository knowledge, and your way of working into memory that remains useful in future tasks.
# Add to your Claude Code skills
git clone https://github.com/memorax-ai/memorax-codeLast scanned: 8/10/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-10T05:25:24.480Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how memorax-code compares with popular alternatives.
memorax-code is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by memorax-ai. A memory plugin for AI coding that turns engineering experience, repository knowledge, and your way of working into memory that remains useful in future tasks. It has 1,254 GitHub stars.
Yes. memorax-code passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/memorax-ai/memorax-code" and add it to your Claude Code skills directory (see the Installation section above).
memorax-code is primarily written in JavaScript. It is open-source under memorax-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh memorax-code against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Coding agents are good at the task in front of them, but a new session often starts without the architecture, failed attempts, repository rules, or working preferences established before it.
MemoraX Code gives Codex, Claude Code, CodeBuddy CLI, WorkBuddy, DeepSeek Harness, OpenCode, and Trae a shared memory layer for that context. It can recall prior engineering knowledge, capture reusable lessons from completed work, maintain repository knowledge, and carry your procedures and preferences into future sessions.
The goal is not to remember everything. It is to bring back the small amount of memory relevant to the current task so the agent can reach useful investigation and validation sooner.
Prepare Node.js 20+ (Node.js 24 LTS recommended) and at least one of Codex, Claude Code, CodeBuddy CLI, WorkBuddy, DeepSeek Harness, OpenCode, or Trae.
For DeepSeek Harness (DSH), current releases require Node.js
^22.19.0 || >=24.0.0. Install or initialize DSH first, create at least one
Profile, and ensure pnpm is on PATH before running setup. MemoraX Code
does not install or update DSH.
On Linux, setup-managed credentials require /usr/bin/secret-tool from
libsecret and an available Secret Service in the current user session. For
Remote SSH, WSL, or Dev Containers, install MemoraX Code in the same environment
as the coding agent. MemoraX search and writeback require network access.
npm install -g @memorax/memorax-code
This installs the package; it does not start interactive setup. Do not use
--ignore-scripts: npm lifecycle scripts safely stop and restore an existing
running managed Backend during package replacement.
Create a MemoraX account or use an existing one, then run from a normal interactive terminal:
memorax-code setup --existing-account
Follow the setup prompts to enter your MemoraX username and API key locally.
[!TIP] Using MemoraX Code across devices? Find the username and API key in the configuration file on a configured device (normally
~/.memorax-code/config.toml), then enter them in the local setup terminal on the new device. This file contains your API key; keep it private and never paste it into chats or public issues.
To start immediately and connect an account later, run:
memorax-code setup
Default setup reuses a complete existing connection. Otherwise, it detects
your local username and language, asks when needed, and creates or restores
guest credentials. To replace the saved connection, use
memorax-code setup --reconfigure for guest mode or
memorax-code setup --existing-account for a registered account.
To keep your guest memory when registering later, first run this command directly in your local terminal:
memorax-code account --show-mark-id
[!IMPORTANT] Obtain the Mark ID before registering, then use it to activate your guest account on MemoraX. The platform does not currently support attaching a Mark ID to an account that has already been registered.
Both setup paths automatically detect supported coding agents. Restart or refresh every detected coding agent after setup.
| Client | Complete activation |
|---|---|
| Codex | Enable MemoraX Code Codex Adapter from Plugins or /plugins if it is not already enabled. |
| Claude Code | Restart or refresh the client to load the managed plugin and Hooks. |
| CodeBuddy CLI | Start a new CLI session to load the managed plugin, Hooks, and Skill. |
| WorkBuddy | Restart WorkBuddy to load its independently managed plugin, Hooks, and Skill. |
| DeepSeek Harness | Restart or refresh DSH to load the plugin registered in existing Profiles. |
| OpenCode | Restart or refresh the client to discover the managed plugin and Skill. |
| Trae | In Settings → Hooks → Global → Configured Hooks, enable the registered Global Hooks once. Setup installs the Hooks and Skill; this switch requires manual activation. |
Open a project, start a new client session, and send one prompt. Then run these commands from the project directory:
memorax-code --version
memorax-code status
memorax-cli status
In Windows PowerShell, use memorax-cli.cmd status. A configured integration
may still report hook-runtime=unverified until the client executes its Hook.
After a Hook executes successfully, that client's Hook runtime should change
to observed.
memorax-code status checks the local Backend and client integrations;
memorax-cli status checks the local memory configuration and workspace scope.
Neither command sends a test request to MemoraX. A real search or write verifies
remote connectivity and credentials; follow the cross-session example below.
For client-specific diagnostic commands, see
Troubleshooting.
Package installation does not launch setup automatically; run one of the setup commands above in an interactive terminal. For incomplete setup or unavailable memory, start with the status commands and follow Troubleshooting.
memorax-code or memorax-cli Is Not FoundBoth commands are included in the same package. Follow the Windows PATH repair steps to bootstrap setup or repair a stale terminal environment.
Clone the example repository from the product website, then open Codex, Claude Code, CodeBuddy CLI, WorkBuddy, DeepSeek Harness, OpenCode, or Trae in the project directory:
git clone https://github.com/SWE-agent/test-repo.git
cd test-repo
Invoke the Skill as $memorax-code in Codex or /memorax-code in Claude Code
or DeepSeek Harness. In OpenCode, CodeBuddy CLI, WorkBuddy, or Trae, ask the agent
to use the memorax-code skill by name. The prompts below use its product name
and work in all supported clients.
Send these prompts in order in the same session:
- Use the MemoraX Code skill to build Repo Memory, retrieving only the latest 3 issues, pull requests, and commits.
- Review the recent Repo Memory issue: the zeroth number was once calculated incorrectly. Avoid repeating the same problem now.
- Use the MemoraX Code skill to remember the engineering lesson from this coding task.
Close the current conversation, start a new session in the same repository, and send:
Use the MemoraX Code skill to recall the earlier engineering lesson and suggest what to check.
The agent should retrieve the saved lesson and use it to make suggestions for the current repository.
[!TIP] The prompts above are only for quick verification. In normal use, you do not need to invoke the MemoraX Code skill to add memory manually. It writes relevant memory in the background and guides agents to search when useful. Local activity and status are retained as content-controlled trace and reconciliation records under
MEMORAX_CODE_HOME.
| Memory | The question it answers | Examples |
|---|---|---|
| Coding Memory | What engineering lessons should carry into the next task? | Verified fixes, failed approaches, design rationale, pitfalls, and regression checks |
| Repo Memory | What should an agent know about this repository? | Architecture maps, module ownership, entry points, and commit/PR/MR/issue evidence |
| Personal Memory | How should the agent communicate and collaborate with you? | User Profile preferences such as language, tone, explanation depth, and result format |
| Procedure Memory | How should this kind of task be carried out? | Reusable steps, checklists, prerequisites, exce |