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Top 23 Python anthropic Projects
- Project mention: Agents 101 — Build and Deploy AI Agents to Production using LangChain | dev.to | 2025-11-25
LangChain makes this possible. It offers a framework that blends language models, Python functions, prompts, and memory into a single workflow.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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litellm
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
[BerriAI/litellm]: LiteLLM - A simple library to call any LLM API
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This guy, Seth Hobson has been doing something special for the past few months. He's curated over 80 specialized sub-agents that you can install instantly. We're talking about sub agents for database management, API testing, code review - the whole production ready system. It's like having a team of demand specialists.
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agent-squad
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Project mention: Orchestrating Multi-Agents: Unifying Fragmented Tools into Coordinated Workflows | dev.to | 2025-06-29AWS Agent Squad (GitHub)
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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 CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Project mention: Tune self-correct SQL agent with RL: AgentLightning+verl+vLLM+AgentOps+LangGraph | news.ycombinator.com | 2025-08-11- AgentOps for collecting training data (telemetry): https://github.com/AgentOps-AI/agentops
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
- Project mention: Amazon Bedrock AgentCore Gateway - Part 5 Add API Gateway REST API as a target for Amazon Bedrock AgentCore Gateway | dev.to | 2025-12-22
In the part 1 of this article series, we introduced Amazon Bedrock AgentCore and specifically Amazon Bedrock AgentCore Gateway which transforms existing APIs and AWS Lambda functions into agent-ready tools, offering unified access across protocols, including into Model Context Protocol (MCP), and runtime discovery. In the part 2 of the series, we used Amazon Bedrock AgentCore Gateway to convert the existing Amazon API Gateway REST API into MCP compatible tools and made it available to agents through Gateway endpoint. We also used Strands MCP Client to talk to this AgentCore Gateway endpoint. In the example we extracted Open API spec to transform the existing Amazon Gateway API REST API into MCP tools using Bedrock AgentCore Gateway, because AgentCore Gateway didn't support directly creating Amazon API Gateway REST API as target as of time of writing (only AWS Lambda was supported as an AWS internal service). This has now changed and this feature is supported:
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gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
Project mention: Gptme v0.27 released – general purpose agent in your terminal | news.ycombinator.com | 2025-03-11 -
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griptape
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
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Leaked-GPTs
Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.
- Project mention: How to Document AI Agents (Because Traditional Docs Won't Cut It) | dev.to | 2025-12-18
Here's what you need to document. I'll use Notte as a reference point—a browser automation agent framework from YC S25 with 1.7k GitHub stars and 41k+ PyPI downloads as of December 2025.
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OpenAdapt
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Project mention: Microsoft drops AI sales targets in half after salespeople miss their quotas | news.ycombinator.com | 2025-12-04> Like, Copilot could watch my daily habits and offer automation for recurring things.
We're working on it at https://github.com/openadaptai/openadapt.
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claude-to-chatgpt
This project converts the API of Anthropic's Claude model to the OpenAI Chat API format.
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The Strands Agents documentation is the best starting point, with guides for both SDKs. The source code is available on GitHub for both the Python SDK and the TypeScript SDK. For Python, the community tools package provides ready-to-use tools, and the samples repository has complete example agents.
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- Project mention: Show HN: Run Claude Skills locally on your Mac (no cloud upload) | news.ycombinator.com | 2025-10-24
- Project mention: What Is the Most Minimal Agentic Coder You Can Write? | news.ycombinator.com | 2025-03-25
Awesome! I essentially started with the same premise when coding "wcgw" [1]. Give a single shell tool to chatgpt (later claude).
Chronology that followed:
1. Some processes take long time: add status checking.
2. Need to kill long running process or interact with tools add option to send control characters; BashInteraction tool.
3. File editing using sed and echo is not reliable, add FileEdit tool.
4. Large output; add truncation based on tokens.
5. But wait I need command output to get truncated at the beginning but file reading `cat $file` to truncate at the end. Add special ReadFile tool.
6. File writing using 'echo "content" >file' needs unncessary quotes escaping leading to degraded quality, add special WriteFile tool.
7. Reading one file at a time is slow, change ReadFile to ReadFiles tool.
8. Directly writing files is not as good as first planning things. Prevent writing using architect mode.
And so on.
[1] https://github.com/rusiaaman/wcgw
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The Strands Agents documentation is the best starting point, with guides for both SDKs. The source code is available on GitHub for both the Python SDK and the TypeScript SDK. For Python, the community tools package provides ready-to-use tools, and the samples repository has complete example agents.
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simplemind
Python API client for AI providers that intends to replace LangChain and LangGraph for most common use cases.
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Python anthropic discussion
Python anthropic related posts
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Claude in Chrome
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How to Document AI Agents (Because Traditional Docs Won't Cut It)
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Open-source LLM cascading, up to 92% cost savings on benchmarks
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Notte Vault: The Solution for AI Agent Authentication
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Agents 101 — Build and Deploy AI Agents to Production using LangChain
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Show HN: Hegelion – Force your LLM to argue with itself before answering
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LangChain Cost Optimization with Model Cascading
- A note from our sponsor - SaaSHub www.saashub.com | 23 Dec 2025
Index
What are some of the best open-source anthropic projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | langchain | 122,246 |
| 2 | aider | 39,061 |
| 3 | litellm | 32,631 |
| 4 | agents | 23,029 |
| 5 | awesome-claude-code | 18,367 |
| 6 | agent-squad | 7,132 |
| 7 | agentops | 5,133 |
| 8 | sdk-python | 4,714 |
| 9 | gptme | 4,087 |
| 10 | readme-ai | 2,824 |
| 11 | griptape | 2,429 |
| 12 | Leaked-GPTs | 2,364 |
| 13 | notte | 1,775 |
| 14 | open-computer-use | 1,691 |
| 15 | OpenAdapt | 1,443 |
| 16 | spacy-llm | 1,355 |
| 17 | claude-to-chatgpt | 1,295 |
| 18 | tools | 854 |
| 19 | gpt-cli | 727 |
| 20 | coderunner | 648 |
| 21 | wcgw | 626 |
| 22 | samples | 572 |
| 23 | simplemind | 535 |