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-1.12.0.tar.gz (99.8 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.12.0-py3-none-any.whl (154.4 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.12.0.tar.gz.

File metadata

  • Download URL: anusara-1.12.0.tar.gz
  • Upload date:
  • Size: 99.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.12.0.tar.gz
Algorithm Hash digest
SHA256 d0af9f910c51db7f941b44bd97c553e294d8f1b233cc497e69941dc858d86630
MD5 4cd702c4c162853adf084debc40fc766
BLAKE2b-256 a59d25746a7fb8284d58069278ae282f4d25276cae0d83cf7a281bf03776efff

See more details on using hashes here.

File details

Details for the file anusara-1.12.0-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.12.0-py3-none-any.whl
  • Upload date:
  • Size: 154.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 42451be0308de865d64e7b1ee86c0d2c16acb1fdb404af5a8803240896660af1
MD5 fea7c25df98d8d89650f4dc4985aca68
BLAKE2b-256 22402121c1772059cd91ef5a16dd5a5f0adf7c84a66843eee6679e6371879b58

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