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Drag & drop UI to build your customized LLM flow using LangchainJS.
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freeaitoolslist.vercel.app
A curated directory of free AI tools for developers. It organizes LLM APIs, AI coding IDEs, CLI tools, local models, RAG stack tools and agent frameworks, with featured tools and recommended tool stacks for development scenarios.
github.com
Future AGI is an open-source, self-hostable platform for evaluating, observing, and improving LLM and AI agent applications. It combines tracing, evals, simulations, datasets, a gateway and guardrails on one platform with a feedback loop. The Apache 2.0 core can be self-hosted, and a managed Cloud option is offered.
github.com
Future AGI SDK is a production-grade software development kit for AI evaluation, prompt management, and observability. It offers automated evaluations with sub-100ms guardrails and does not require human-in-the-loop. The SDK supports Python and TypeScript.
getdeploying.com
GetDeploying compares cloud providers, covering GPU rentals, VPS, object storage, data egress and LLM APIs across 117 providers in 136 countries. It presents compute, storage and egress pricing side by side, including GPU price trends. Prices are shown in USD, converted at daily reference rates, and a month is counted as 720 hours.
github.com
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
github.com
BIG-bench is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities. It includes more than 200 tasks, summarized by keyword and task name. The repository was archived by its owner and is now read-only.
goose-docs.ai
goose is an open source AI agent that runs on the user's machine. It is available as a desktop app for macOS, Linux and Windows, a CLI, and an API built in Rust. The agent is general-purpose, covering code, workflows, research, writing and automation. It connects to 70+ extensions via the Model Context Protocol and works with 15+ LLM providers, including API keys or existing subscriptions.
github.com
GPT Runner is a tool for managing AI presets and holding conversations with code files. It is available as a CLI, web page and VSCode extension, supports third-party LLMs, and stores data locally.
github.com
Creating semantic cache to store responses from LLM queries.
llm-book.com
Hands-On Large Language Models is an illustrated guide to large language models. It includes over 275 custom figures, working code examples, timelines, and references to key research papers. The book has received positive reviews from Andrew Ng, Nils Reimers, Josh Starmer, Luis Serrano, Leland McInnes, and Prof. DDr. Roman Egger.
handyai.tools
HandyAI is a collection of free browser-based tools for AI and Claude developers, including token counters, prompt analyzers, JSON to tool-use converters and cost calculators. It requires no sign-up and lists the LLM Token Counter and AI Cost Calculator as live tools, with others announced for later release.
writewithharper.com
Harper is an open-source grammar and spell checker that runs entirely on the device. It covers US, UK, Canadian, Australian and Indian English, and performs checks locally without cloud round-trips, telemetry or an LLM. Integrations listed include Obsidian, Chrome, Firefox, WordPress, Visual Studio Code, Neovim, Helix, Emacs, Zed and Sublime Text.
github.com
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
haystack.deepset.ai
Haystack is an open-source AI orchestration framework for building production-ready, LLM-powered agents and applications. The site states it uses modular, customizable building blocks, connects to providers such as OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone and Elasticsearch, and offers both open source and enterprise options.
github.com
Open-Source AI Chatbot / Agent builder with support for LLMs as well as social media channels integration.
github.com
Hindsight is an agent memory system from Vectorize, intended to help agents learn over time rather than only recall conversation history. It is published under the MIT licence and can be run via Docker, working with multiple LLM providers.
github.com
Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that reduces AI coding-agent token usage and LLM API costs. It enables writing less code and prose and supports denser agent-to-agent handoffs, with reported 53% cost reduction and no quality loss in benchmarks. It is compatible with Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline, and Kiro.
hopsworks.ai
Hopsworks is a platform for building, deploying, and scaling production machine learning systems. It combines a feature store with MLOps tooling, using dual online and offline storage to manage, reuse, and serve features. The platform covers the ML lifecycle: train, deploy, and monitor. An O'Reilly book covers building batch, real-time, and LLM systems with feature stores.
huggingface.co
Hugging Face provides machine-learning models, research, training resources, or evaluation tools.
humanloop.com
Humanloop was a development platform for LLM applications that provided management and evaluation of AI applications. The team announced it is joining Anthropic, and the Humanloop platform is to be sunset on September 8th, 2025. A migration guide covers exporting Files, Versions, Logs and Evaluations.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
github.com
A project to make it easier to use large external knowledge bases with LLMs.
github.com
Kaito is the Kubernetes AI Toolchain Operator, an operator suite that automates LLM inference, fine-tuning and RAG engine deployment in a Kubernetes cluster. It simplifies the CRD API and provides optimized preset configurations for inference engine scheduling parameters. Workspaces are the basic CRD for managing inference and tuning workloads, and all vLLM-supported models can be run.