Most agent frameworks are still built around:
- prompt-response loops
- sequential execution
- fragile orchestration
Real work requires something different.
Agents must run longer.
Agents must run together.
LongClaw.dev
The concurrent runtime for long-running AI agents.
Where thousands of agents act together.
The Problem
AI agents stop too early
The Idea
Agents are claws
Each AI agent is powerful but limited.
Small.
Specialized.
Focused on one task.
But when thousands of agents run together —
they become
something much larger.
A dragon-scale system.
The Runtime
LongClaw is the runtime
Agents
↓
LongClaw Runtime
↓
Tools • APIs • Code • Systems
LongClaw provides:
- concurrent execution
- task scheduling
- orchestration
- failure recovery
- long-running workflows
Concurrent Agents
Run thousands of agents in parallel.
Long-Running Workflows
Agents run for minutes, hours, or days.
Reliable Execution
Retry logic.
Task queues.
Deterministic workflows.
Tool Harness
Agents can act on the real world.
APIs • Code • Databases • External systems
Architecture
Agent runtime architecture
LLM
↓
Agent
↓
LongClaw Runtime
Task Scheduler Agent State Tool Execution Queue System Failure Recovery
↓
External Systems
LongClaw provides the infrastructure layer between agents and the real world.
Positioning
Where we stand
Category
Example
Prompt tools
ChatGPT
Agent frameworks
LangChain
Agent runtime
LongClaw
Prompt tools generate text.
Agent frameworks define logic.
LongClaw runs the system.
Built for the agent era
We believe software is entering a new phase.
Not apps.
Not scripts.
But long-running AI systems.
LongClaw is the runtime for that future.