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Top 23 Python anthropic Projects
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LLM / agentic frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, MCP, RAG. (Fiddler and Razorpay both list these. "Hands-on counts, not just awareness," as Razorpay puts it.)
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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]
Project mention: I wrote a read-only scanner for MCP / agent-gateway production-readiness | dev.to | 2026-06-09For calibration I took the seven-dimension methodology to LiteLLM, a mature and widely-deployed proxy, pinned at a commit. It came back 4 green / 3 yellow / 0 red — production-ready, with the usual edges a structured pass surfaces in a good codebase: one authorization resolver that fails open where its siblings fail closed, unpinned third-party MCP servers, and per-tool least-privilege left opt-in. Then I built a deliberately-broken reference gateway that fails the same checks by construction. The scanner here automates the static slice of that methodology — the part you can run in seconds, before any deeper review.
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Project mention: Microsoft pulled internal Claude Code licenses — what their engineers' preference tells you about picking AI tools | dev.to | 2026-06-06
Aider with a bring-your-own API key has no subscription floor. Pay per token. For 2-3 focused hours per week, costs less than $20/mo. For full-time use, costs more than Max. Best for terminal natives who already live in tmux and do not want a separate IDE.
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awesome-claude-code
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Project mention: Put your Coding Agents in Drive w/ Superpowers (aka How Superpowers is the Automatic Transmission of Agentic Coding) | dev.to | 2026-05-28The most downloaded and widely used methodology in the Claude Code ecosystem is Superpowers, with over 208k stars⭐️ and 18.5k forks🍴 on GitHub (and counting!)
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agents
Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, and Gemini CLI
Project mention: Repository Transformation: From Chaos to Professional Prompt Engineering Toolkit | dev.to | 2026-03-25Prominently featured 74 professional AI agent configurations adapted from wshobson/agents:
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WrenAI
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.
Project mention: Revolutionize Your Data Workflow with Wren AI: The Open-Source GenBI Agent | dev.to | 2025-09-01View the Project on GitHub
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Project mention: Tell HN: YC companies scrape GitHub activity, send spam emails to users | news.ycombinator.com | 2026-02-26
Even worse, I got contacted through YC Jobs (workatastartup.com) with a message that was basically: "Star, fork, and submit PRs to our open-source repo and we'll maybe review you for a contract."
I said "No thanks."
Got this reply: "(...) I'm looking forward to reviewing your PRs. Feel free to share me any of your questions. (...)"
Apparently, they are automating this shit.
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Company: Aden (W20)
Contact: Vincent Jiang, Founder
Github: https://github.com/aden-hive/hive
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Phoenix by Arize: An open-source observability tool for ML and LLM apps that consumes OpenInference (and thus OpenTelemetry) traces.
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local-deep-research
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Project mention: Local Deep Research: Run Your Own AI Research Assistant, Fully Private | dev.to | 2026-05-06Local Deep Research is a self-hosted AI research assistant. You give it a question. It searches across multiple sources — web, arXiv, PubMed, Wikipedia, GitHub, your own local documents — iterates on what it finds, and produces a structured report with citations.
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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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Project mention: Your Agent Doesn't Need That 10,000-Token API Response: Context Offloading with Strands | dev.to | 2026-06-09
Strands Agents just shipped the ContextOffloader plugin. It's available in both the TypeScript and Python SDKs. It prevents large tool results from consuming your agent's context window automatically. When a tool returns a result that exceeds a configurable token threshold, the plugin stores each content block individually in an external storage backend and replaces it in the conversation with a truncated preview plus per-block references. Each offloaded result includes inline guidance telling the agent to use its available tools to selectively access the data it needs.
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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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git clone https://github.com/plastic-labs/honcho cd honcho docker compose up -d # Server will be on http://localhost:8000
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gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
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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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cascadeflow
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
Project mention: Why One Model Is Never Enough: Routing Incident Analysis With cascadeflow | dev.to | 2026-05-22This is the story of how I built IncidentOS, an AI-powered operational memory system for SRE teams, and why cascadeflow became the piece that made the runtime actually usable.
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Leaked-GPTs
Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.
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If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:
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linkedin-mcp-server
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI assistant access to profiles, companies, jobs, and messages.
LinkedIn Scraping: linkedin-mcp-server via MCP for web scraping
Python anthropic discussion
Python anthropic related posts
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I wrote a read-only scanner for MCP / agent-gateway production-readiness
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OSINT Prompts for ChatGPT and Claude: 5 Templates and a Repeatable Method
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Show HN: Stop letting Claude Code burn your tokens and leak API keys
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Why MCP servers and Claude Code skills die quiet deaths
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Scarab Diagnostic Suite Field Test #011: LangChain Structured Output Streaming Boundary
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Stratoclave: a tenant-aware credit gateway for Amazon Bedrock — now with OpenAI codex support
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Project Brain – Persistent memory index for AI coding
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A note from our sponsor - SaaSHub
www.saashub.com | 10 Jun 2026
Index
What are some of the best open-source anthropic projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | langchain | 138,635 |
| 2 | litellm | 49,432 |
| 3 | aider | 45,826 |
| 4 | awesome-claude-code | 45,612 |
| 5 | agents | 36,406 |
| 6 | claude-code-templates | 27,792 |
| 7 | WrenAI | 15,453 |
| 8 | hive | 10,494 |
| 9 | phoenix | 9,983 |
| 10 | open-swe | 9,921 |
| 11 | xonsh | 9,507 |
| 12 | local-deep-research | 8,374 |
| 13 | agent-squad | 7,646 |
| 14 | harness-sdk | 6,020 |
| 15 | agentops | 5,605 |
| 16 | honcho | 4,843 |
| 17 | gptme | 4,316 |
| 18 | readme-ai | 2,914 |
| 19 | griptape | 2,537 |
| 20 | cascadeflow | 2,468 |
| 21 | Leaked-GPTs | 2,428 |
| 22 | code-interpreter | 2,337 |
| 23 | linkedin-mcp-server | 2,133 |