DeepSeek Harness
AI Developer ToolsDSH is a plugin framework that allows teams to build their own agent runtime, but lacks API stability and can't handle production deployments.
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DSH is a plugin framework that allows teams to build their own agent runtime, but lacks API stability and can't handle production deployments.
Student-powered professor ratings and reviews.
Build and operate your own compliance program.
Build your AI workforce. Give agents tasks.
Manages and version-controls GPT prompts in a timeline organized by title.
Create PostgreSQL databases instantly.
Lets web apps tap into AI models you already have, without developers paying for API access.
Suits early-stage biopharma, not late-stage.
Publishes Notion pages straight to a GitHub Jekyll blog, complete with a table of contents.
Build, scale and secure AI applications.
Mappedin creates indoor maps using AI tools.
Parse and extract complex documents with high accuracy, build AI-powered agents.
Hackathons cost nothing, but travel and accommodation not included.
LAION provides open datasets and models for machine learning research.
HyperMink System 1 makes AI accessible with a simple plug-in, perfect for developers who want to integrate smart features without complex setup.
Automate your commit messages with GiteAI, focus on code.
GitFluence is an AI-driven Git command generator. Get started with its web app.
GenWorlds is an event-based communication framework for multi-agent systems, but lacks a detailed pricing page.
Connects scattered edge data center sites into one network that tenants can lease as a single service.
Answers questions about any webpage using OpenAI, keeping everything stored locally for privacy.
A publicly listed biopharma AI company pairing a decade-built knowledge graph with drug discovery science.
Wraps the ChatGPT API in a simple interface, though power users may want the full API's flexibility.
AI chatbots that automate customer service and generate code automatically.
AI Prompt Manager helps store and manage GPT prompts. It’s easy to search and share.
Sends one prompt to several AI chatbots at once, then lines up the answers for comparison.
Optimizes HR processes with expert consulting and AI, but not for automation beginners.
Trace and evaluate LLMs with OpenTelemetry, manage prompts, and compare models.
A blockchain network for publishing and running decentralized AI apps, backed by its own OFN token.
Puts a chat interface for your local Ollama models, from Llama to Mistral, right in the browser.
What The Diff helps you make pull requests accessible for everyone, but it requires full access to your code.
Compare multiple AI models side-by-side.
Real-time analytics without ETL, but requires technical setup and expertise.
Turns dense TC39 spec language into plain-English explanations with one click.
Deploys autonomous AI agents that resolve support tickets and unify enterprise knowledge sources.
An AI tutor that walks you through any LeetCode problem step by step.
Turns a blog post's list of places into an embeddable, interactive map.
A community hub for Llama models with docs, GPU compute access, and a forum.
Open-source, self-hosted AI gateway.
LM Studio lets you run LLMs offline on your laptop. Supports various models.
LLM Pricing Comparison tool lacks comprehensive coverage.
A Chrome Q&A assistant that searches your private knowledge base or the open web.
It suits developers who want to simplify Git but may miss more granular control.
GPTBots.ai builds AI agents with an intuitive interface.
Lets enterprises build no-code AI agents for support, sales leads and internal search.
Use pre-trained models for serverless Node.js apps.
Not suitable for basic file handling alone, Echobase AI excels in custom-trained AI Agents.
Launching soon, generates excitement for your business.
Set up your bot in a couple of minutes.
Three worth starting with
Terms to know
Developer tools in this group help build with AI rather than only write code: model hubs like HuggingFace, agent frameworks, browser add-ons and learning aids such as Marble LeetCode Tutor Chrome Extension. Engineers and technical founders use them to prototype AI features and test models. The deciding question is hosting: some tools run in the cloud, others let you run models on your own hardware.
Code assistants help you write code in your editor. Developer tools are the wider set for building AI products: model libraries, agent frameworks, testing utilities and deployment platforms. A team might use one of each at the same time.
Not always. Many offer hosted models and simple APIs, so ordinary application developers can add AI features without training anything. Fine-tuning or running models yourself does require more background in data and infrastructure.
Hosted models are quicker to start with and need no hardware, but your data goes to a third party. Running a model yourself keeps data in-house and gives control over versions, at the cost of setup and maintenance.