# SciSharp/BotSharp

AI Multi-Agent Framework in .NET

Repository: https://github.com/SciSharp/BotSharp
Canonical: https://ross.abutalabs.com/products/botsharp
Homepage: https://botsharp.readthedocs.io
Language: C#
License: Apache-2.0
License Family: permissive
Topics: chatbot, ai-agent, multi-agent
Last push: 2026-08-24T14:05:53+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 40, longevity 100
- inputs: {"age_days": 3181, "days_push": 9, "days_rel": 320, "gap_med": 83, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3098, forks 646 (observed 2026-08-28T04:07:43.457771+00:00)

## What it is
BotSharp is an open-source multi-agent AI framework written in C# for .NET, providing an agent abstraction layer, conversation state management, and pluggable LLM providers. It follows a modular plugin and pipeline architecture so developers can integrate AI bots into existing business systems.

## Use cases
- build a multi-agent chatbot in .NET
- integrate LLMs into an existing C# business application
- create a conversational AI platform with pluggable LLM providers
- manage conversation state across multiple AI agents
- build an enterprise AI assistant with modular components
- add natural language understanding to an information system

## When to choose
- your stack is .NET/C# and you want an agent framework in that ecosystem
- you need multi-agent orchestration with conversation state management
- you want to swap LLM providers and UI components via unified interfaces
- you prefer an enterprise-grade, typed language for AI business logic

## When to avoid
- you primarily work in Python where LangChain or similar have larger ecosystems
- you need a simple single-agent chatbot with minimal setup
- you require cutting-edge agent features that mature Python frameworks get first

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, chatbot, llm-inference, nlp, plugin-system, state-management
- domain: artificial-intelligence, large-language-models, chatbots, web-development, backend
- platform: dotnet, cross-platform, self-hosted
- tags: multi-agent, conversation-as-a-platform, csharp, llm-orchestration, enterprise-ai, ai-agents, natural-language-processing, web-server, docker

## Member repositories
- SciSharp/BotSharp (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:43.457771+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 2026-08-29T18:46:21.996068+00:00, confidence not recorded.
  - readme: https://github.com/SciSharp/BotSharp (fetched 2026-08-28T04:07:43.457771+00:00, sha d64333d94650)
- Data as of 2026-08-30T08:39:29.467469+00:00.