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Elite Longterm Memory
by
Next Frontier AI
· GitHub ↗
· v1.2.3
63613
Downloads
227
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install elite-longterm-memory
Description
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Usage Guidance
Install only if you want an agent to retain project and preference context across sessions. Before enabling Mem0, SuperMemory, or automatic extraction, decide whether your prompts, code, business context, and personal details may be uploaded or retained by those services. Add your own rule requiring explicit approval before saving sensitive information, and avoid running the documented rm -rf cleanup command unless you have backed up memory data and intend to delete the vector store.
Capability Analysis
Type: OpenClaw Skill
Name: elite-longterm-memory
Version: 1.2.3
The skill bundle provides a multi-layered memory system for AI agents. While the `bin/elite-memory.js` script performs benign local file system operations, the `SKILL.md` contains instructions for the AI agent that involve executing external Python scripts (`python3 skills/git-notes-memory/memory.py`), installing npm packages (`npm install mem0ai`), and running external binaries (`supermemory`). These actions introduce supply chain risks and potential shell injection vulnerabilities if the external scripts or their arguments are not properly secured. Additionally, the `SKILL.md` instructs the agent to perform certain actions 'SILENTLY', which is a prompt injection technique, though in this context it appears intended for managing agent verbosity rather than hiding malicious activity. The `rm -rf` command is also present for a 'nuclear option' memory clear. These capabilities, while potentially useful for the stated purpose, carry significant risks without clear evidence of intentional malice.
Capability Assessment
Purpose & Capability
The files and CLI match the stated long-term memory purpose: they create SESSION-STATE.md, MEMORY.md, and daily logs, and document LanceDB, Git-Notes, SuperMemory, and Mem0 workflows. Some marketing claims are broader than the local implementation, which is mostly scaffolding plus instructions for external tools.
Instruction Scope
The skill tells agents to write user details before responding, store decisions in Git-Notes silently, and save preferences or deadlines by default. That is purpose-aligned for memory, but under-scoped because it lacks clear consent checks, sensitivity exclusions, or review-before-save rules.
Install Mechanism
The package exposes a simple npm CLI and no postinstall script was observed. It does include an optional mem0ai dependency with a version range and documents installing or running external tools, which adds normal supply-chain risk for a cloud-connected memory workflow.
Credentials
OPENAI_API_KEY, LanceDB, Mem0, and SuperMemory are coherent with semantic memory and sync features, but the artifacts do not clearly warn that conversation-derived facts, code context, preferences, or decisions may be sent to third-party services.
Persistence & Privilege
Persistent storage is the central feature, but the instructions encourage broad multi-store retention across local files, vector memory, Git notes, and optional cloud services, and include a raw rm -rf reset command without backup or confirmation guidance.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install elite-longterm-memory - After installation, invoke the skill by name or use
/elite-longterm-memory - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.3
- Expanded description and keywords for improved discoverability, highlighting ChatGPT, Copilot, Cursor, and developer tooling.
- Updated version to 1.2.3.
- Clarified compatibility and marketing text in SKILL.md.
- No functional or implementation changes to code logic.
v1.2.2
Rebranded to OpenClaw
v1.2.1
SEO update: added claude-code, cursor, copilot, agentic keywords
v0.1.0
**Major upgrade: Combines 6 advanced memory systems for AI agents into a single robust architecture.**
- Integrates Write-Ahead Log session memory, LanceDB vector search, git-notes knowledge graphs, curated long-term logs, cloud backup, and optional auto-extraction.
- Adds new auto-extraction tier (Mem0) for fact preference/decision extraction, enabling 80% token reduction.
- Provides clear agent usage protocols to maintain durability and prevent context loss.
- Extensive setup and workflow guides for seamless deployment with Clawdbot, Moltbot, Claude, and GPT agents.
Metadata
Frequently Asked Questions
What is Elite Longterm Memory?
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready. It is an AI Agent Skill for Claude Code / OpenClaw, with 63613 downloads so far.
How do I install Elite Longterm Memory?
Run "/install elite-longterm-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Elite Longterm Memory free?
Yes, Elite Longterm Memory is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Elite Longterm Memory support?
Elite Longterm Memory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Elite Longterm Memory?
It is built and maintained by Next Frontier AI (@nextfrontierbuilds); the current version is v1.2.3.
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