Skip to main content

Deterministic execution engine with traceable, immutable history

Project description

Anusara

Deterministic execution runtime for agent workflows.


What is Anusara?

Anusara is a deterministic runtime for executing agent workflows.

Anusara makes agent workflows deterministic, observable, and replayable by design.

It executes graphs of agents using:

  • deterministic scheduling
  • event-sourced execution history
  • replay-driven state reconstruction

Every execution becomes:

  • replayable
  • inspectable
  • debuggable
  • reproducible

🚀 Quickstart (Docker)

Run Anusara

docker run -d --name anusara -p 8000:8000 navasoftsolutions/anusara:latest

Verify

curl http://localhost:8000/health && echo
curl http://localhost:8000/agents/available && echo

The Mental Model

Agent Graph
     ↓
Deterministic Execution Engine
     ↓
Event Log (source of truth)
     ↓
Replay • Debug • Observability

Why Anusara?

Anusara enforces:

  • deterministic execution
  • event log authority
  • replay-based debugging
  • explicit lifecycle guarantees

Key Features

  • deterministic execution
  • event-sourced execution history
  • replayable workflows
  • HTTP + CLI + Python runtime
  • agent lifecycle management
  • built-in observability
  • controlled workflow mutation

Project Status

Anusara is under active development.


License

MIT 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

anusara-1.4.0.tar.gz (87.6 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.4.0-py3-none-any.whl (133.0 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.4.0.tar.gz.

File metadata

  • Download URL: anusara-1.4.0.tar.gz
  • Upload date:
  • Size: 87.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.4.0.tar.gz
Algorithm Hash digest
SHA256 1624a9738286bbfc3ea9473af71cf7c8f07b3ea171acf0e630a3ed2bfb4a4db8
MD5 c5c385c7c024cc3465bfbdd6620eac60
BLAKE2b-256 a1463cb45df3c6bfa177e66740944d462c916a794ac63612fd7c64a65f450c4f

See more details on using hashes here.

File details

Details for the file anusara-1.4.0-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.4.0-py3-none-any.whl
  • Upload date:
  • Size: 133.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4b47380aef63f7f8bed44054f7b5ab169df2a0c78843ae7f1f8853c2e87984a4
MD5 89c25f9a5bcf1ce15076995a64cea000
BLAKE2b-256 160cad25b102cbfff6d86b4c5e5b45fe488d0b86034f2b0efd63f4e6d3e0a0d4

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