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Autonomous AI Agent Infrastructure & Execution Engine
AgentStack provides the foundational architecture required to run complex, multi-agent AI systems with sandboxed security, asynchronous background execution, and strict secret protection.
Core Architecture
Built from the ground up to solve the challenges of non-deterministic AI tool execution in production environments.
Spawn, coordinate, and monitor specialized AI subagents with isolated execution contexts, role-based prompts, and automatic state persistence.
Built-in security engine featuring secret scrubbing (API keys, tokens), HMAC request signing, SSRF loopback filtering, and DNS re-validation.
Distributed worker task queue with background polling, status lifecycle management, error log inspection, and real-time execution telemetry.
Plug-and-play tool declarations, custom sidecars, web browser integration, and standard APIs for seamless backend integration.
Execution Flow
The primary orchestrator receives complex directives and breaks them down into isolated subagent tasks.
Subagents execute file edits, terminal commands, or web extractions within controlled, isolated workspaces.
All output streams pass through real-time regex sanitizers before logging or reporting back to the orchestrator.
Completed subagent outputs are synthesized into clean structured responses and delivered to the application consumer.
Ready when you are
Talk with our engineering team about custom agent integration, enterprise hosting, or building specialized autonomous workflows.