# Forethought-Technologies/AutoChain

AutoChain: Build lightweight, extensible, and testable LLM Agents

Repository: https://github.com/Forethought-Technologies/AutoChain
Canonical: https://ross.abutalabs.com/products/autochain
Homepage: https://autochain.forethought.ai
Language: Python
License: MIT
License Family: permissive
Last push: 2025-12-16T20:53:26+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 57, release rhythm 35, longevity 85
- inputs: {"age_days": 1202, "days_push": 260, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1879, forks 103 (observed 2026-08-28T04:05:48.432404+00:00)

## What it is
AutoChain is a lightweight, extensible Python framework for building custom LLM-powered generative agents with custom tools, inspired by LangChain and AutoGPT. It also provides automated multi-turn agent evaluation using simulated conversations to test agent behavior across user scenarios.

## Use cases
- build a custom llm agent with custom tools
- evaluate a conversational agent automatically
- iterate quickly on agent prompts
- simulate multi-turn user conversations to test an agent
- simpler alternative to langchain for agents
- test agent regressions across scenarios

## When to choose
- you want a minimal, low-abstraction agent framework that is easy to customize
- you need automated multi-turn evaluation of LLM agents with simulated users
- you are familiar with LangChain but want simpler concepts and faster iteration

## When to avoid
- you need a production-grade, actively developed agent framework with a large ecosystem
- you need multi-provider LLM support beyond OpenAI function calling
- you require advanced memory, retrieval, or orchestration features out of the box

## Facets
- artifact type: framework
- maturity: maintenance
- function: agent-framework, llm-inference, testing, chatbot, prompt-engineering
- domain: large-language-models, developer-tools, testing
- platform: python, cli
- tags: llm-agents, agent-evaluation, simulated-conversations, function-calling, langchain-alternative, ai-agents

## Member repositories
- Forethought-Technologies/AutoChain (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:48.432404+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:14:02.535675+00:00, confidence not recorded.
  - readme: https://github.com/Forethought-Technologies/AutoChain (fetched 2026-08-28T04:05:48.432404+00:00, sha 00b1783004bc)
  - homepage: https://autochain.forethought.ai (fetched 2026-08-29T10:53:20.211634+00:00, sha 840ed4f78cb3)
- Data as of 2026-08-30T08:39:29.467469+00:00.