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content/_index.md
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## Blog
[[Honcho Fights for the User (PLACEHOLDER)]]
[[Honcho; User Context Management for LLM Apps|Honcho: User Context Management for LLM Apps]]
[[blog/Theory-of-Mind Is All You Need]]
[[blog/Open-Sourcing Tutor-GPT]]

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---
title: "Honcho: User Context Management for LLM Apps"
enableToc: true
date: Jan 18, 2024
---
![[missing_piece.png]]
## TL;DR
Today we drop the first release of a project called *[Honcho](https://github.com/plastic-labs/honcho)*. An open-source version of the OpenAI Assistants API. Honcho manages your AI app data on a per-user basis, allowing for multiple concurrent sessions to speedrun prototype to production. Glaringly absent from the existing stack, Honcho will, at full maturity, usher the advent of atomic, disposable agents that are user-first by default.
Today we drop the first release of a project called [*Honcho*](https://github.com/plastic-labs/honcho/tree/main), an open-source version of the OpenAI Assistants API. Honcho manages your AI app data on a per-user basis, allowing for multiple concurrent identities. Glaringly absent from the existing stack, Honcho will, at full maturity, usher the advent of atomic, disposable agents that are user-first by default.
## Plastic Lore
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Honcho is a REST API that defines a storage schema to seamlessly manage your application's data on a per-user basis. It ships with a Python SDK which you can read more about how to use here.
![[honcho basic user context management blog post diagram.png]]
We spent lots of time building the infrastructure to support multiple concurrent users with Bloom, and too often we see developers running into the same problem: building a fantastic demo, sharing it with the world, then inevitably having to take it down due to infrastructure/scaling issues.
Honcho allows you to deploy an application with a single command that can automatically handle concurrent users. Going from prototype to production is now only limited by the amount of spend you can handle, not tedious infrastructure setup.