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Top 23 Python langchain Projects
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litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
I think LLM's plugin architecture is a better bet for supporting model providers than the way LiteLLM does it.
The problem with LiteLLM's approach is that every model provider needs to be added to the core library - in https://github.com/BerriAI/litellm/tree/main/litellm/llms - and then shipped as a new release.
LLM uses plugins because then there's no need to sync new providers with the core tool. When a new Gemini feature comes out I ship a new release of https://github.com/simonw/llm-gemini - no need for a release of core.
I can wake up one morning and LLM grew support for a bunch of new models overnight because someone else released a plugin.
I'm not saying "LLM is better than LiteLLM" here - LiteLLM is a great library with a whole lot more contributors than LLM. I am confident that a plugin system is a better way to solve this problem generally though.
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Judoscale
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DB-GPT
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
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deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Finally, we stored these vectors in our chosen database: the activeloop DeepLake database. This database is open source, something near and dear to our own open-source hearts. We will cover some additional details in a further section, but it is specifically designed to handle vector data and perform efficient similarity searches, which is crucial for quick and accurate retrieval during the RAG process.
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swarms
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Worth noting there is an interesting multi-agent open source project named Swarms. When I saw this on X earlier I thought maybe the team had joined OpenAI but there's no connection between these projects
> "Swarms: The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework"
[0] https://github.com/kyegomez/swarms
[1] https://docs.swarms.world/en/latest/
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CodeRabbit
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argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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agentops
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI
Check out the AgentOps Repo
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Ask-Anything
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
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InternGPT
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
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api-for-open-llm
Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, Xverse, SqlCoder, CodeLLaMA, ChatGLM, ChatGLM2, ChatGLM3 etc. 开源大模型的统一后端接口
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RasaGPT
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
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DemoGPT
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
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Specialized projects that facilitate automatic document indexing and LLM invocation with the document content are gaining traction, for example PrivateGPT, QAnything, and LazyLLM. Another novelty is the integration of LLMs into applications and tools: The Semantic Kernel project aims to integrate LLM invocation during programming and inside the code itself.
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openlit
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
View on GitHub
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python langchain discussion
Python langchain related posts
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MCPAdapt: Seamlessly use 650 MCP servers tools in any agentic framework
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LangManus
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Building a Secure Flight Booking System with LLM Agent in Langflow
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Deployable On-Premises RAG
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Langflow: Build Powerful AI Apps with Drag-and-Drop Simplicity
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Langflow is a low-code tool for developers to build AI agents/LLM workflows
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A note from our sponsor - CodeRabbit
coderabbit.ai | 30 Apr 2025
Index
What are some of the best open-source langchain projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | litellm | 21,262 |
| 2 | DB-GPT | 16,309 |
| 3 | awesome-chatgpt-zh | 11,111 |
| 4 | deeplake | 8,556 |
| 5 | GPTCache | 7,526 |
| 6 | TaskingAI | 5,108 |
| 7 | swarms | 4,831 |
| 8 | argilla | 4,468 |
| 9 | agentops | 4,260 |
| 10 | codeinterpreter-api | 3,843 |
| 11 | Ask-Anything | 3,217 |
| 12 | InternGPT | 3,215 |
| 13 | evadb | 2,666 |
| 14 | api-for-open-llm | 2,428 |
| 15 | RasaGPT | 2,388 |
| 16 | autolabel | 2,210 |
| 17 | DemoGPT | 1,812 |
| 18 | Chrome-GPT | 1,729 |
| 19 | LazyLLM | 1,668 |
| 20 | openlit | 1,446 |
| 21 | shell-ai | 1,096 |
| 22 | llm_agents | 981 |
| 23 | langcorn | 925 |
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