proactive-amcp

Create encrypted IPFS checkpoints and resurrect agents via watchdog.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/fcavalcantirj/proactive-amcp --skill proactive-amcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proactive-amcp
Source: https://github.com/fcavalcantirj/proactive-amcp/tree/main
Command: npx skills add https://github.com/fcavalcantirj/proactive-amcp --skill proactive-amcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, curl, jq, python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill ensures your agent's continuity by providing automated checkpoints, IPFS pinning, and resurrection capabilities, safeguarding its identity, memory, and secrets.

Core Features & Use Cases

  • Automated Checkpointing: Proactively saves agent state to IPFS on lifecycle events or context changes.
  • IPFS Pinning: Utilizes Solvr (free) or Pinata for durable, content-addressed storage of agent checkpoints.
  • Watchdog Resurrection: Monitors agent health and automatically resurrects it from the last checkpoint upon failure.
  • Learning System: Capture insights via /remember, /stuck, /learned commands, integrating with Solvr for collective knowledge.
  • Security: Encrypts secrets before checkpointing and includes pre-commit hooks for sensitive data.

Quick Start

Use the proactive-amcp skill to create a checkpoint of your current agent state.

Frequently Asked Questions about proactive-amcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist agent state to IPFS automatically during lifecycle events?

You can persist agent state to IPFS by using automated checkpointing, which proactively saves state on lifecycle events or context changes. The checkpoints are then pinned to IPFS via Solvr or Pinata for durable, content-addressed storage.

What is watchdog-based resurrection for autonomous agents?

Watchdog-based resurrection is a recovery mechanism that monitors agent health and automatically restarts the agent from its last encrypted IPFS checkpoint upon failure, ensuring continuity without manual intervention.

Do I need bash and Python3 to run automated agent checkpoints?

Yes, you need bash, curl, jq, and Python3 installed in your environment to perform core automated checkpointing, IPFS pinning, and resurrection operations.

Can I use Groq for memory pruning when checkpointing agent state?

Yes, you can optionally leverage Groq for intelligent memory pruning and error condensing during the agent checkpointing process to manage storage size and improve recovery efficiency.

Best way to secure secrets before saving agent checkpoints to IPFS?

The best way to secure secrets before checkpointing is to use built-in encryption for sensitive data and enable pre-commit hooks, ensuring secrets are encrypted before the state is saved to IPFS.

Why use KERI for agent identity management in automated checkpoint systems?

KERI is used for agent identity management to provide decentralized, cryptographic trust in the agent's identity. This ensures that the resurrected agent from an IPFS checkpoint is verifiably the same entity.