AI Tools Master Reference — Sections 1 to 9
1. AI CLI Tools
| No | AI Name | Link | Description |
|---|---|---|---|
| 1.1 | GitHub Copilot CLI | https://github.com/features/copilot | AI code assistant usable through terminal & editors |
| 1.2 | Cursor Agent CLI | https://cursor.sh | AI coding agent through editor & terminal |
| 1.3 | OpenAI Codex CLI | https://openai.com/blog/openai-codex | Code generation model supporting CLI agents |
| 1.4 | KiloCode CLI | https://kilocode.ai | AI CLI coding generator with automation |
| 1.5 | Claude Code | https://claude.ai | Anthropic code assistant with deep reasoning |
| 1.6 | MLX-VLM (Apple MLX CLI) | https://github.com/Blaizzy/mlx-vlm | Apple MLX vision-language model runnable via CLI |
| 1.7 | Continue CLI | https://continue.dev | Local-first AI CLI integration |
| 1.8 | Warp AI Terminal | https://warp.dev | Terminal with AI completions |
| 1.9 | Codeium CLI | https://codeium.com | Free AI code completion CLI |
| 1.10 | StarCoder CLI | https://github.com/bigcode-project/starcoder | Open-source code LLM via CLI |
| 1.11 | Replit Ghostwriter | https://replit.com/site/ghostwriter | AI code completion via IDE/CLI |
2. AI Agents
2.1 Agent SDKs
| No | AI Name | Link | Description |
|---|---|---|---|
| 2.1.1 | OpenAgents SDK | https://openai.com | Unified agents SDK |
| 2.1.2 | Google Opal | https://deepmind.google | Google’s agentic framework |
| 2.1.3 | Semantic Kernel | https://github.com/microsoft/semantic-kernel | Microsoft’s agent SDK |
| 2.1.4 | LangChain Agents | https://langchain.com | Multi-tool agent architecture |
| 2.1.5 | Claude Agent SDK | https://claude.ai | Anthropic’s agent SDK |
2.2 Workflow / Automation Agents
| No | AI Name | Link | Description |
|---|---|---|---|
| 2.2.1 | n8n | https://n8n.io | Automation with AI agents |
| 2.2.2 | Zapier AI Actions | https://zapier.com | AI-enabled automation triggers |
| 2.2.3 | Make.com AI | https://make.com | Workflow automation with AI |
| 2.2.4 | SuperAgent | https://superagent.sh | No-code AI agent builder |
2.3 Autonomous Agents
| No | AI Name | Link | Description |
|---|---|---|---|
| 2.3.1 | AutoGPT | https://github.com/Significant-Gravitas/AutoGPT | Autonomous task agent |
| 2.3.2 | BabyAGI | https://github.com/yoheinakajima/babyagi | Task-loop autonomous system |
| 2.3.3 | AgentGPT | https://agentgpt.reworkd.ai | Browser-based autonomous agent |
| 2.3.4 | Claude Agent | https://claude.ai | Anthropic agent system |
2.4 Browser-Based Agents
| No | AI Name | Link | Description |
|---|---|---|---|
| 2.4.1 | GodMode | https://godmode.space | Browser-based autonomous agent UI |
| 2.4.2 | AgentGPT Web | https://agentgpt.reworkd.ai | Browser agent deployment |
| 2.4.3 | WebLLM Agents | https://mlc.ai/web-llm | In-browser LLM execution |
2.5 Orchestration Frameworks
| No | AI Name | Link | Description |
|---|---|---|---|
| 2.5.1 | CrewAI | https://crewai.com | Multi-agent orchestration |
| 2.5.2 | AutoGen | https://github.com/microsoft/autogen | Microsoft multi-agent orchestration |
| 2.5.3 | OpenAgents Runtime | https://openai.com | Team agent runtime |
| 2.5.4 | SuperAgent Orchestrator | https://superagent.sh | No-code agent routing |
3. AI Models
| No | AI Name | Link | Description |
|---|---|---|---|
| 3.1 | Grok Code Fast 1 | https://x.ai | xAI code model |
| 3.2 | GPT-4 | https://openai.com/gpt-4 | OpenAI multimodal flagship |
| 3.3 | Claude 3.5 Sonnet | https://anthropic.com | Anthropic flagship model |
| 3.4 | Gemini 1.5 Pro | https://deepmind.google/gemini | Google multimodal model |
| 3.5 | Cerebras Wafer-Scale Models | https://www.cerebras.ai | Wafer-scale compute AI models |
| 3.6 | Gemini 3 Pro (Preview) | https://aistudio.google.com/prompts/new_chat | Google's latest preview next-gen model |
| 3.7 | Gemini 3 | https://deepmind.google | Google’s next-generation Gemini model |
| 3.8 | LLaMA 3 | https://llama.meta.com | Meta’s open-source LLM |
| 3.9 | Mistral Large | https://mistral.ai | High-performance LLM |
| 3.10 | PaLM 2 | https://ai.google/palm2 | Google foundational model |
| 3.11 | Chinchilla | https://deepmind.com | Compute-optimal LLM |
| 3.12 | Gopher | https://deepmind.com | DeepMind 280B model |
| 3.13 | Megatron-Turing NLG | https://developer.nvidia.com/megatron | NVIDIA/Microsoft LLM |
| 3.14 | Kimi K2 Thinking | https://kimi.moonshot.cn | Moonshot advanced reasoning LLM |
| 3.15 | DeepSeek-V3 / R1 | https://deepseek.com | High-performance reasoning & code models |
4. Image Models
| No | AI Name | Link | Description |
|---|---|---|---|
| 4.1 | DALL·E 3 | https://openai.com/dall-e-3 | OpenAI image generation |
| 4.2 | Midjourney v6 | https://midjourney.com | High-quality image generation |
| 4.3 | Stable Diffusion XL | https://stability.ai | Open-source image model |
| 4.4 | Adobe Firefly | https://firefly.adobe.com | Creative art generation |
| 4.5 | Leonardo AI | https://leonardo.ai | Game assets & design |
| 4.6 | Playground AI | https://playgroundai.com | Free image creator |
| 4.7 | Lexica | https://lexica.art | SD prompt search engine |
| 4.8 | NightCafe | https://nightcafe.studio | AI art generation platform |
5. Video Models
| No | AI Name | Link | Description |
|---|---|---|---|
| 5.1 | OpenAI Sora | https://openai.com/sora | Text-to-video model |
| 5.2 | Runway Gen-2 | https://runwayml.com | Video generation |
| 5.3 | Pika Labs | https://pika.art | Creative video model |
| 5.4 | Luma Dream Machine | https://lumalabs.ai | Realistic video generation |
| 5.5 | Kling AI | https://klingai.com | High-fidelity video synthesis |
| 5.6 | Kaiber | https://kaiber.ai | Video from images |
| 5.7 | Genmo | https://genmo.ai | Animation + video |
| 5.8 | Stable Video Diffusion | https://stability.ai | Open-source T2V |
6. Audio, Voice, Music Models
| No | AI Name | Link | Description |
|---|---|---|---|
| 6.1 | ElevenLabs | https://elevenlabs.io | Voice synthesis |
| 6.2 | Suno | https://suno.com | AI music |
| 6.3 | Udio | https://udio.com | Music generation |
| 6.4 | Whisper v3 | https://openai.com/whisper | Speech-to-text |
| 6.5 | Murf.ai | https://murf.ai | Voice generation |
| 6.6 | Resemble AI | https://resemble.ai | Voice cloning |
| 6.7 | Play.ht | https://play.ht | TTS |
| 6.8 | AIVA | https://aiva.ai | Classical composition |
| 6.9 | Soundraw | https://soundraw.io | AI music generator |
| 6.10 | Voicemod | https://voicemod.net | Voice changer |
7. Productivity, Writing & Search AI
| No | AI Name | Link | Description |
|---|---|---|---|
| 7.1 | Notion AI | https://notion.so | Workspace AI |
| 7.2 | Grammarly | https://grammarly.com | Writing assistant |
| 7.3 | Jasper | https://jasper.ai | Marketing AI |
| 7.4 | Copy.ai | https://copy.ai | Copywriting |
| 7.5 | Writesonic | https://writesonic.com | Content generation |
| 7.6 | HyperWrite | https://hyperwriteai.com | Writing assistant |
| 7.7 | Perplexity | https://perplexity.ai | AI search engine |
| 7.8 | You.com | https://you.com | AI search assistant |
| 7.9 | Poe | https://poe.com | Multi-LLM chat |
| 7.10 | Character AI | https://character.ai | AI characters |
8. AI IDEs & Local Tools
| No | AI Name | Link | Description |
|---|---|---|---|
| 8.1 | Cursor | https://cursor.sh | AI coding IDE |
| 8.2 | Windsurf | https://codeium.com/windsurf | Advanced AI IDE |
| 8.3 | Ollama | https://ollama.com | Local LLM runner |
| 8.4 | LM Studio | https://lmstudio.ai | Local LLM GUI |
| 8.5 | Google Antigravity | https://antigravity.google/ | Google experimental AI dev environment |
| 8.6 | Google AI Studio | https://aistudio.google.com | Google’s official IDE for Gemini & model development |
| 8.7 | Jules AI IDE | https://jules.google.com/session | AI-native coding IDE & development assistant |
| 8.8 | CodeGeeX IDE | https://codegeex.ai | Integrated code LLM |
| 8.9 | Continue.dev | https://continue.dev | Local-first coding AI |
| 8.10 | Tabby | https://tabbyml.github.io | Self-hosted code LLM |
| 8.11 | DeepSeek Coder Local | https://deepseek.com | Local DeepSeek code models |
| 8.12 | LiteLLM Proxy | https://litellm.ai | Local LLM proxy runtime |
| 8.13 | Jan.ai | https://jan.ai | Offline LLM runner |
| 8.14 | Kimi K2 Thinking | https://kimi.moonshot.cn | Advanced reasoning model |
9. Vector Databases & RAG Tools
| No | AI Name | Link | Description |
|---|---|---|---|
| 9.1 | Pinecone | https://pinecone.io | Vector DB |
| 9.2 | Weaviate | https://weaviate.io | Vector search |
| 9.3 | Chroma | https://www.trychroma.com | Local-first vector DB |
| 9.4 | Milvus | https://milvus.io | Scalable vector DB |
| 9.5 | LanceDB | https://lancedb.com | Fast local vector DB |
| 9.6 | Qdrant | https://qdrant.tech | Open-source vector DB |
| 9.7 | Vespa | https://vespa.ai | Enterprise vector search |
| 9.8 | Marqo | https://marqo.ai | AI-native search |
| 9.9 | LlamaIndex | https://llamaindex.ai | RAG orchestration |
| 9.10 | LangChain RAG | https://langchain.com | RAG pipelines |
10. AI Security, DevOps & Monitoring Tools
| No | AI Name | Link | Description |
|---|---|---|---|
| 10.1 | TruffleHog | https://trufflesecurity.com/trufflehog | Scans code & repos for secrets, credentials, and leaks |
| 10.2 | Snyk AI | https://snyk.io | AI-powered code security scanning & vulnerability detection |
| 10.3 | GitHub Advanced Security AI | https://github.com | AI PR scanning, security suggestions, secret detection |
| 10.4 | Wiz AI Security | https://wiz.io | AI-driven cloud security platform |
| 10.5 | Lacework AI | https://lacework.com | Cloud threat detection using AI |
| 10.6 | Palo Alto Cortex XSIAM | https://paloaltonetworks.com | Security analytics with AI-driven threat response |
| 10.7 | CrowdStrike Charlotte AI | https://crowdstrike.com | AI security analyst for detection & incident response |
| 10.8 | SentinelOne Purple AI | https://sentinelone.com | AI for threat hunting & security automation |
| 10.9 | AWS GuardDuty + AI | https://aws.amazon.com/guardduty | AI-enhanced cloud threat detection |
| 10.10 | Azure Security Copilot | https://azure.microsoft.com | Microsoft’s AI assistant for SecOps |
| 10.11 | Google Security AI Workbench | https://cloud.google.com/security | AI for security & vulnerability analysis |
| 10.12 | Datadog AIOps | https://datadoghq.com | Monitoring + anomaly detection with AI |
| 10.13 | New Relic AI Observability | https://newrelic.com | AI-based performance monitoring & alerting |
| 10.14 | Dynatrace Davis AI | https://dynatrace.com | AI root-cause detection & devops analytics |
| 10.15 | OpsGenie AI | https://www.atlassian.com/software/opsgenie | AI-powered alerting & incident automation |
| 10.16 | PagerDuty AIOps | https://pagerduty.com | AI-driven incident response & triage |
| 10.17 | DeepSeek Security Analyzer | https://deepseek.com | AI vulnerability analysis (code & infra) |
| 10.18 | OpenAI Security Eval Tools | https://openai.com | AI model and system security evaluators |
11. AI Data Tools / ETL / RAG Pipelines
| No | AI Name | Link | Description |
|---|---|---|---|
| 11.1 | LlamaIndex | https://llamaindex.ai | Framework for RAG pipelines, data ingestion, indexing, and retrieval |
| 11.2 | LangChain Data | https://langchain.com | Data loaders, RAG components, and chain orchestration |
| 11.3 | Unstructured.io | https://unstructured.io | ETL pipelines for documents, PDFs, OCR, and data preprocessing |
| 11.4 | Airbyte | https://airbyte.com | Open-source ETL connectors for AI pipelines |
| 11.5 | Meltano | https://meltano.com | Open-source ELT/ETL with Singer taps |
| 11.6 | Databricks AI + Delta | https://databricks.com | Unified data lakehouse for AI training and RAG |
| 11.7 | Snowflake Cortex | https://snowflake.com | Data cloud with AI functions and retrieval pipelines |
| 11.8 | BigQuery ML | https://cloud.google.com/bigquery | Google Cloud data + ML pipelines |
| 11.9 | Pinecone Hybrid Search | https://pinecone.io | Semantic + dense + sparse retrieval for RAG |
| 11.10 | Qdrant Hybrid Search | https://qdrant.tech | Vector + keyword hybrid RAG retrieval |
| 11.11 | Milvus RAG | https://milvus.io | Vector indexing optimized for RAG |
| 11.12 | Vespa.ai | https://vespa.ai | Real-time vector + keyword retrieval engine |
| 11.13 | Feast Feature Store | https://feast.dev | ML feature store for AI pipelines |
| 11.14 | Weaviate Data Pipelines | https://weaviate.io | Vector DB with ingestion/workflows |
| 11.15 | DeepLake | https://activeloop.ai | AI-native data lake for LLM training & retrieval |
| 11.16 | Zilliz Cloud | https://zilliz.com | Managed vector database platform |
| 11.17 | Elastic Search + ESRE | https://elastic.co | Search engine with RAG retrieval extensions |
| 11.18 | MongoDB Atlas Vector Search | https://mongodb.com | Vector-enabled document store for RAG |
| 11.19 | Redis Vector Search | https://redis.io | Fast vector search for real-time RAG |
| 11.20 | pgvector | https://github.com/pgvector/pgvector | PostgreSQL extension for embeddings search |
12. AI Infrastructure / Cloud / GPUs
| No | AI Name | Link | Description |
|---|---|---|---|
| 12.1 | AWS Bedrock | https://aws.amazon.com/bedrock | Fully managed AI foundation-model hosting |
| 12.2 | Azure OpenAI Service | https://azure.microsoft.com | Enterprise-grade hosting for OpenAI models |
| 12.3 | Google Vertex AI | https://cloud.google.com/vertex-ai | Google’s ML/AI platform with multimodal support |
| 12.4 | Lambda Cloud | https://lambdalabs.com | Affordable GPU cloud for training & inference |
| 12.5 | RunPod | https://runpod.io | GPU hosting for inference, training & containers |
| 12.6 | Paperspace Gradient | https://paperspace.com | GPU cloud for notebooks & ML workflows |
| 12.7 | Vast.ai | https://vast.ai | Marketplace for cheap on-demand GPU compute |
| 12.8 | CoreWeave | https://coreweave.com | High-performance GPU cloud optimized for AI |
| 12.9 | Modal Labs | https://modal.com | Serverless GPU compute for ML workloads |
| 12.10 | Anyscale | https://www.anyscale.com | Ray platform for large-scale compute |
| 12.11 | NVIDIA DGX Cloud | https://www.nvidia.com | Enterprise GPU supercomputing cloud |
| 12.12 | Hugging Face Inference Endpoints | https://huggingface.co/inference-endpoints | Hosted model endpoints |
| 12.13 | Baseten | https://baseten.co | Serve and scale AI models in production |
| 12.14 | Replicate | https://replicate.com | Cloud model hosting & API deployment |
| 12.15 | BentoML | https://bentoml.com | Open-source model serving infrastructure |
13. AI Testing & Evaluation Tools
| No | AI Name | Link | Description |
|---|---|---|---|
| 13.1 | OpenAI Evals | https://github.com/openai/evals | Framework for evaluating LLM performance |
| 13.2 | HELM (Stanford) | https://crfm.stanford.edu/helm | Holistic AI evaluation benchmark |
| 13.3 | EleutherAI LM Evaluation Harness | https://github.com/EleutherAI/lm-evaluation-harness | Benchmarks for language models |
| 13.4 | MLPerf | https://mlcommons.org | Industry-standard AI benchmarks |
| 13.5 | Hugging Face Evaluate | https://huggingface.co/evaluate | Metrics for LLMs, NLP, and CV tasks |
| 13.6 | AgentBench | https://agentbench.com | Benchmark for agent capabilities |
| 13.7 | Arena (LMSYS Chatbot Arena) | https://lmsys.org | Crowd-sourced model ranking benchmark |
| 13.8 | GAIA Benchmark | https://huggingface.co/papers | Advanced reasoning evaluation suite |
| 13.9 | AlpacaEval | https://tatsu-lab.github.io/alpaca_eval | Instruction-following benchmark |
| 13.10 | MT-Bench | https://huggingface.co | Multi-turn evaluation for chat models |
| 13.11 | Aider Testbench | https://aider.dev | Automated code-agent evaluation |
| 13.12 | DeepEval | https://docs.confident-ai.com/deepeval | Evaluation for RAG & LLM outputs |
14. AI Governance & Compliance
| No | AI Name | Link | Description |
|---|---|---|---|
| 14.1 | Microsoft Responsible AI | https://aka.ms/responsibleai | Governance tools & frameworks |
| 14.2 | Google Responsible AI Toolkit | https://ai.google/responsibility | Safety, fairness & governance guidelines |
| 14.3 | OpenAI System Safety Tools | https://openai.com | Red-teaming & safety evals |
| 14.4 | Anthropic Constitutional AI | https://anthropic.com | Rule-based AI alignment |
| 14.5 | IBM AI Governance | https://ibm.com/watsonx | Governance, auditability, risk mgmt |
| 14.6 | Credo AI | https://credo.ai | AI compliance & risk platform |
| 14.7 | Holistic AI | https://holisticai.com | AI audit, governance & compliance |
| 14.8 | Arthur AI | https://arthur.ai | Model monitoring, ethics & fairness |
| 14.9 | Fiddler AI | https://fiddler.ai | Explainability & AI governance |
| 14.10 | Fairlearn | https://fairlearn.org | Fairness toolkit for ML models |
| 14.11 | Aequitas | https://dssg.github.io/aequitas | Bias & fairness audit toolkit |
15. AI Agents Benchmarks / Leaderboards
| No | AI Name | Link | Description |
|---|---|---|---|
| 15.1 | AgentBench | https://agentbench.com | Benchmarking agent reasoning & planning |
| 15.2 | AgentBoard | https://agentboard.ai | Cross-agent performance leaderboard |
| 15.3 | LMSYS Chatbot Arena | https://lmsys.org | Human-ranked performance leaderboard |
| 15.4 | GAIA Leaderboard | https://huggingface.co/papers | Complex reasoning benchmark |
| 15.5 | EvalPlus | https://evalplus.github.io | Code-generation benchmark |
| 15.6 | OpenAI Safety Evals | https://openai.com | Security & safety benchmarks |
| 15.7 | SWE-Bench | https://www.swebench.com | Software engineering benchmark |
| 15.8 | CodeArena | https://codearena.dev | Code agent competitive evaluation |
| 15.9 | ARC-AGI Benchmark | https://arcprize.org | AGI reasoning task leaderboard |
| 15.10 | HuggingFace Open LLM Leaderboard | https://huggingface.co/spaces | Leaderboard for open-source LLMs |