Skip to main content

Next-Gen event stream and workflow engine.

Project description

Logo

AmritaSense

PyPI Version Python Version License Discord QQ Group

"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 SetIF/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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amrita_sense-0.3.1.tar.gz (61.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amrita_sense-0.3.1-py3-none-any.whl (57.5 kB view details)

Uploaded Python 3

File details

Details for the file amrita_sense-0.3.1.tar.gz.

File metadata

  • Download URL: amrita_sense-0.3.1.tar.gz
  • Upload date:
  • Size: 61.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.19 {"installer":{"name":"uv","version":"0.11.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for amrita_sense-0.3.1.tar.gz
Algorithm Hash digest
SHA256 b8013aa175e9407147d4595f03bcf0e42a6affa096cc70123eb316ed9be9290c
MD5 661dc9c1f59db30f41f8923ff1508b69
BLAKE2b-256 d718293f5f89f909240d2239ed83488dbcc2ec3c8cb0e936f982b916e29031d9

See more details on using hashes here.

File details

Details for the file amrita_sense-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: amrita_sense-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 57.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.19 {"installer":{"name":"uv","version":"0.11.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for amrita_sense-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 acaea9ef066ddeade9d6273ee4ea74e0b78401cc936d027eecad7948de0737a6
MD5 f2615342b72d138d597f787bf286a7f1
BLAKE2b-256 8273045ed3f9f42a7a97d181b7cd634006b487abf9059b0f771e90a80630b4fc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page