jeretc/taskproxy
Closing the AI Execution Gap - Sovereign Orchestration Stack for Autonomous Agentic Workflows. Featuring MCP Node, Prime Editor genomic AI, Autonomous Pay M2M settlements & M2M Ledger audit consensus. Available for strategic acquisition. Built by Jeret Christopher.
Platform-specific configuration:
{
"mcpServers": {
"taskproxy": {
"command": "npx",
"args": [
"-y",
"taskproxy"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> Closing the AI Execution Gap. > The missing infrastructure layer between LLM reasoning and real-world autonomous execution.
🌐 [taskproxy.ai](https://taskproxy.ai) — Available for strategic acquisition.
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Large Language Models can reason about complex data. But they cannot safely *act* on it.
There is no secure, accountable, fiscally-aware infrastructure layer that allows autonomous AI agents to:
This is The Execution Gap — and TaskProxy closes it.
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TaskProxy is a sovereign orchestration hub for autonomous agentic workflows. It functions as a secure abstraction layer that routes high-compute tasks to specialized nodes, settles costs via machine-to-machine payment rails, and verifies every action through immutable audit consensus.
Part of the 2026 Sovereign AI Stack.
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The secure handshake layer. Utilizing the Model Context Protocol (MCP), this node translates agent intent into secure, least-privilege requests. Instead of raw database access, agents receive curated, pre-vetted REST endpoints — critical for protecting sensitive genomic sequences and enterprise data environments.
An AI-native computational environment for programmable genomic sequence modeling. Designed for precision mutation simulation, Prime Editor allows autonomous agents to model Search-and-Replace edits on digital DNA — predicting efficiency and safety before any physical lab commitment.
Real-time fiscal authorization for
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