permanent-memoryIndestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...
Install via ClawdBot CLI:
clawdbot install 0xautonomys/permanent-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
upload → https://mainnet.auto-drive.autonomys.xyz/api`Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://explorer.ai3.storage/mainnet/drive/developersAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
AI agents can periodically save their decision logs and operational state to Auto-Memory, ensuring continuity after crashes or updates. This is crucial for long-running tasks like customer support or data analysis, where losing context would disrupt service. The memory chain allows agents to resume from the last saved point without manual intervention.
Financial or healthcare firms can use Auto-Memory to immutably store transaction records or patient interactions as a linked chain. This provides a tamper-proof audit trail for regulatory compliance, enabling easy verification and reconstruction of historical data from a single CID during audits or investigations.
Content creators, such as writers or designers, can save iterative versions of their work (e.g., drafts, edits) to Auto-Memory, creating a permanent history of changes. This allows for easy rollback to previous versions and collaboration tracking, with the chain enabling full project reconstruction from the latest entry.
IoT devices in manufacturing or smart cities can upload sensor data logs to Auto-Memory, forming a chain for monitoring trends and anomalies. This ensures data persistence even if local storage fails, supporting predictive maintenance and historical analysis by retrieving the entire dataset via CID.
E-learning platforms can store student progress and assessment results as memory entries, building a chain for each learner. This enables personalized learning paths and allows students or educators to review full history for feedback, with resurrection supporting account recovery after data loss.
Offer tiered subscription plans for API access to Auto-Memory, with higher limits on storage, upload frequency, or chain length. Revenue comes from monthly or annual fees, targeting businesses needing reliable, scalable decentralized storage for critical data like agent states or audit logs.
Provide consulting and integration services to help companies embed Auto-Memory into their AI systems or compliance workflows. Revenue is generated through project-based fees, customization, and ongoing support, focusing on industries like finance or healthcare with strict data integrity needs.
Offer a free tier with basic upload/download capabilities and limited chain length, while charging for advanced features like compression, priority support, or enhanced security. This attracts individual developers and small teams, converting them to paid plans as usage grows.
💬 Integration Tip
Start by setting up the API key via the guided script, then test with simple file uploads before implementing memory chains to ensure smooth integration with existing agent workflows.
Scored Aug 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...