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-0.3.2.tar.gz (63.5 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-0.3.2-py3-none-any.whl (57.8 kB view details)

Uploaded Python 3

File details

Details for the file amrita_sense-0.3.2.tar.gz.

File metadata

  • Download URL: amrita_sense-0.3.2.tar.gz
  • Upload date:
  • Size: 63.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.22 {"installer":{"name":"uv","version":"0.11.22","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-0.3.2.tar.gz
Algorithm Hash digest
SHA256 43646f39e7d3fc2042178fa2a4cac385dd4d2b8e1163542d3e59d0f5551d62b5
MD5 e12ddcb9802f4901af3d8f2d19a1b841
BLAKE2b-256 e00aa03c62b926fe1f87c9f7a3ee4d7df3e719ea036284a0a66c91d4bee5c99b

See more details on using hashes here.

File details

Details for the file amrita_sense-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: amrita_sense-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 57.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.22 {"installer":{"name":"uv","version":"0.11.22","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-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a2bd735a9b92c566565202108988fde0b83afae332d861edf080ac31f4de3d36
MD5 7ac21bb2299a47adc941c755bd003670
BLAKE2b-256 cefb78fc022883528471113e76063e416841fa59bae48541fb3e745bac477ccf

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