AmritaSense

"Sense is all you need."

AmritaSense is a general-purpose workflow orchestration engine that replaces traditional graph-based models with an instruction set architecture—treating workflows not as nodes-and-edges diagrams, but as programmable execution streams driven by a lightweight virtual machine.

Why AmritaSense?

Most workflow engines force you into a graph mindset: define nodes, connect edges, manage state objects. AmritaSense takes a different path. You compose nodes and control flow just like writing ordinary code—the engine compiles them into a linear instruction sequence, then executes them step by step. The result: zero scheduling overhead, native interrupt support, and the expressive power of assembly-level control flow.

Core Features

• Complete Instruction Set—IF/ELIF/ELSE, WHILE/DO-WHILE, GOTO/CALL, TRY/CATCH/THEN/FIN, NOP, INTERRUPT. All control flow is first-class, not simulated through graph routing.
• VM-Style Execution—A program counter (PointerVector) and call stack drive execution. Jumps are integer operations, not graph traversals.
• Async-Native Suspend/Resume—Two Future callbacks enable full workflow interruption at any node boundary. Built for debuggers and human-in-the-loop systems.
• Declarative Dependency Injection—Nodes declare dependencies via function signatures. The engine resolves them at runtime with type matching and concurrent resolution.
• Ultra Lightweight—Core interpreter is ~300 lines. Compiles 100,000 nodes in ~200ms. Runs anywhere from Raspberry Pi to cloud.
• Self-Compile Instructions—Extend the instruction set with SelfCompileInstruction. Compile-time expansion, zero runtime overhead.

Installation

pip install amrita-sense

Quick Look

import asyncio
from amrita_sense import Node, WorkflowInterpreter as WorkflowPC, IF, NOP

@Node()
def condition() -> bool: return True

@Node()
def action(): print("Done")

flow = IF(condition, action) >> NOP
pc = WorkflowPC(flow.render())

if __name__ == "__main__":
  asyncio.run(pc.run())

See more demos in demos/

Documentation

Full guides, concept explanations, and API reference at sense.amritabot.com.

Contributing

Contributions are welcome. See CONTRIBUTING.md and our Code of Conduct.

License

Apache V2. See LICENSE.