genpark-long-horizon-autonomous-task-resumption-skill
OfficialSupports long-horizon autonomous task checkpointing and resumption for Expedia consumer travel agentic commerce workflows, including pause/resume and recovery for booking or itinerary tasks.
Supports long-horizon autonomous task checkpointing and resumption for Mastercard Agent Connect commerce workflows, including event-sourced state persistence and human-in-the-loop recovery.
Supports long-horizon autonomous task checkpointing and resumption for consumer agentic commerce workflows involving Meta Muse, including state persistence and fail-safe recovery.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-long-horizon-autonomous-task-resumption-skill
π GenPark MCP Hub β’ π¦ GenPark Official β’ π Documentation
π Overview
genpark-long-horizon-autonomous-task-resumption-skill delivers robust, industrial-grade capabilities engineered for Consumer Agentic Commerce (e.g. Meta Muse, Expedia, Mastercard Agent Connect) and Enterprise Workplace Execution (e.g. Tencent WorkBuddy Goal-to-PPT/Excel deliverable workflows). Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Long-Horizon Autonomous Task Checkpoint & Resumption Engine (inspired by Persistent Consumer & Enterprise Agents). Provides cryptographic event-sourcing state persistence, idempotency key deduplication, scheduled timeout heartbeats, human-in-the-loop pause-and-resume tokens, and fail-safe recovery.
π‘ Key Capabilities
Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without
pip installoverhead or supply-chain vulnerabilities.Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and enterprise managed agent runtimes.
Deterministic & Safe: Rigorous state machine models, cryptographic ledger hashes, mathematical dependency graphs, and full telemetry.
High Concurrency & Low Latency: In-memory caching, topological cycle detection, and optimized execution loops.
Related MCP server: ratchet-mcp
π Quickstart
1. Direct Python Usage
from client import LongHorizonAutonomousTaskResumptionEngine
client = LongHorizonAutonomousTaskResumptionEngine()
result = client.create_task_session()
print(result)2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
python mcp_server.pyVerify standard compliance and self-tests:
python mcp_server.py --test3. Claude Desktop / Cursor MCP Configuration
Add this tool to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"genpark-long-horizon-autonomous-task-resumption-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-long-horizon-autonomous-task-resumption-skill/mcp_server.py"]
}
}
}π οΈ Verification & Testing
Run the included verification suite:
python example_usage.pyπ License
This project is licensed under the MIT License - see the LICENSE file for details.
Developed with β€οΈ by the GenPark Autonomous Agent Ecosystem Team.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
Related MCP Connectors
Agent checkpoints. Resume after context resets and handoffs with retry-safe, versioned saves.
Resume-effect reconciliation for checkpointed agent runs. From $9/mo.
Durable background job execution, async task scheduling, and state persistence for AI agents.
Reliable async execution for agent tool calls: schema gating, retries, idempotency, audit trail.
Related MCP Servers
- AlicenseAqualityDmaintenanceProvides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.4MIT
- AlicenseAqualityBmaintenanceEnables AI agents to gate real-world side effects through a durable decision record, ensuring at-most-once initiation, deduplication, budget enforcement, and auditable outcomes across retries and failures.1541 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceProvides durable mission state for AI agents, enabling crash-safe recovery, verified completion, and explicit reconciliation of uncertain side effects without duplicate or blind retries.4Apache 2.0
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to persist and restore checkpoint state, supporting crash recovery and replay for LangGraph-based workflows.8-