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-1.5.1.tar.gz (88.9 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.5.1-py3-none-any.whl (136.8 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.5.1.tar.gz.

File metadata

  • Download URL: anusara-1.5.1.tar.gz
  • Upload date:
  • Size: 88.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.5.1.tar.gz
Algorithm Hash digest
SHA256 f62be4768ddad367e6067a039d9bc75c42bf6151a38479c6727318459f0b166c
MD5 d732e0127db45aecf7326efd2b63b582
BLAKE2b-256 52b8645d7aa021a5e0c9b5181495ab985087db04187de5b07667aa29b0568721

See more details on using hashes here.

File details

Details for the file anusara-1.5.1-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.5.1-py3-none-any.whl
  • Upload date:
  • Size: 136.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e1651a4221545f69b9403e52759cb70879e56a304a242345dfee689336c44c0e
MD5 d145daf2157c4ddd653a520a67f62ec4
BLAKE2b-256 0ae63f210e04b5b8a50aecd11ae6b6012c6cc924cb82691c921ecacdea46e914

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