Skip to main content

A stateful personal agent that learns how you work — passive observer, episodic memory, belief formation.

Project description

vinod

A stateful personal agent that learns how you work.

Vinod passively observes your work patterns — file changes, coding sessions, task completions — and builds an episodic + semantic memory of your behavior over time.

pip install vinod is currently a name reservation. Full release coming soon.

What it will do

  • Passive observation: watches file changes, Claude Code sessions, Google Sheets task tracker
  • Episodic memory: append-only log of everything it sees
  • Belief formation: weekly consolidation from episodic → stable behavioral patterns
  • Personal model: fine-tuned on your own behavioral corpus (Day 75+)

Status

Pre-alpha. Observer pipeline being built. ETA: mid-2026.

Author

Arunabh Majumdar — arunabh.majumdar@gmail.com

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

vinod-0.2.0.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

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

vinod-0.2.0-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file vinod-0.2.0.tar.gz.

File metadata

  • Download URL: vinod-0.2.0.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for vinod-0.2.0.tar.gz
Algorithm Hash digest
SHA256 295a8d756bd52bec6a66f27db00c43798c541dd3423dddcd01e9b9d472edac3f
MD5 8bc3d8cbba251e38b775ce3439d7f80c
BLAKE2b-256 935bda545251b9cfa605d89c09880bbe933763bb0333f31dd68171204e63b2be

See more details on using hashes here.

File details

Details for the file vinod-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: vinod-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for vinod-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 084af95954dfa97aa74d34924591bb704ea76ca3544022cfd64b89e328bf1873
MD5 ea2001f790e0f5023f62758a53911db4
BLAKE2b-256 1f3fa82b3e7e26f0e17af436584d29aad2f7fc81b698e9433b119c09a9e13e8c

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