Complete

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Complete

Complete is an AI-powered collaboration platform designed to transform isolated AI chats into collaborative environments. It enables teams to work together with AI agents in shared, contextual workspaces, ensuring a single source of truth for conversations, context, and outputs. By integrating multiple AI models and specialized agents, Complete empowers teams to work smarter and faster through unified AI teamwork.

General
Author	Complete
Release Date	2024
Website	https://complete.dev/
Documentation	https://docs.complete.dev/
Technology Type	AI Collaboration Platform

Key Features

Collaborative AI Workspaces: Shared chat threads where teams can build on each other's prompts and maintain context across projects.
Multi-Model Integration: Run leading AI models in parallel, allowing teams to choose the best model for specific tasks like coding, reasoning, or creative writing.
Specialized AI Agents: Access role-specific agents for Product Managers, Project Managers, and Developers to automate summaries, monitor progress, and accelerate debugging.
Shared Context through Files: Organize and access documents across projects, providing AI agents with the necessary context to perform accurately.
Built-in Code Editor: An integrated environment for real-time collaboration between human developers and AI agents on codebases.
Governance and Control: Advanced tools for managing AI context, memory, and rules to ensure safe, consistent, and compliant AI usage across the organization.

Start Building with Complete

Complete offers a scalable environment for teams to integrate AI into their daily workflows. From simple shared chats to complex agentic processes, it provides the infrastructure needed for collaborative AI development and operations. Developers can leverage Complete's specialized agents and model flexibility to build more robust AI-powered applications.

Complete Resources

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complete AI technology page Hackathon projects

Discover innovative solutions crafted with complete AI technology page, developed by our community members during our engaging hackathons.

Atlas Arc: Decentralized AI Agentic Economy

`Atlas Arc is an Economic OS for AI Agents. In traditional blockchains, high gas fees make micro-transactions for AI inference impossible. Atlas Arc solves this by integrating Circle’s USDC on the Arc L1 network, enabling settlement at a scale of $0.0001 per action. Our system features a hierarchical multi-agent architecture where "Brain" agents use a Random Forest Regression model to predict market demand and price volatility. "Executor" agents handle high-frequency settlements via Circle Developer Controlled Wallets, while "Guardian" agents maintain security using Z-Score statistical analysis to detect anomalies. The project demonstrates a 99.9% reduction in gas overhead compared to legacy L1s, proving that a machine-to-machine economy is not just possible, but economically viable. By combining Google Gemini for analytical reasoning and Circle’s nano payment infrastructure, Atlas Arc creates a transparent, scalable, and autonomous marketplace for the next generation of AI services.`

SpecForge

SpecForge is a self-assembling AI product engine that transforms a single sentence into a full, shippable product package in under 5 minutes. Built entirely within Complete.dev, it demonstrates what's possible when specialized AI agents don't just assist — they collaborate, hand off, and build on each other's work autonomously. How it works: Six purpose-built agents operate as a coordinated team across a dynamic DAG pipeline. The Orchestrator reads the incoming idea, constructs an execution graph, and sequences the agents based on what's missing from the spec. Each agent picks up where the last left off: Strategist → PRD, personas, user stories, acceptance criteria Architect → ADRs, system design, tech stack decisions Engineer → task breakdowns, code scaffolding, implementation plan Copywriter → GTM strategy, pitch narrative, landing page copy QA Sentinel → test plans, edge cases, quality gates Orchestrator → routes, sequences, validates, and self-heals on failure The pipeline is fault-tolerant: if any agent output fails validation, the Orchestrator re-invokes with targeted correction context rather than restarting from scratch. The proof is in the submission itself. SpecForge was built using SpecForge. The PRD, architecture decisions, GTM strategy, pitch deck, and implementation plan in this submission were all generated by the agents during development. This isn't a demo of what the product could do — it's evidence of what it already did. Built on: Next.js · TypeScript · Complete.dev Agent Builder · GitHub Actions · Vercel Target users: Hackathon builders, solo founders, and product teams who need to move from idea to structured execution without the overhead of a full product team. SpecForge doesn't just generate documents. It assembles the thinking.

Launchium

Launchium is a multi-agent AI platform that takes a raw startup idea and delivers a fully launch-ready startup package — in hours, not months. Most founders stall at execution. They have the idea but lack the technical team, budget, or time to validate, build, and launch. Launchium eliminates that gap. Powered by 8 specialized AI agents orchestrated via LangGraph StateGraph, Launchium autonomously runs a complete startup pipeline: it validates your idea against real market data, designs your product architecture, generates a full-stack MVP codebase, audits it for security vulnerabilities, crafts your landing page copy, builds your go-to-market strategy, optimizes for SEO, and packages everything into a downloadable ZIP — ready to deploy. Each agent operates with a reflect-and-refine loop, ensuring outputs are deep, actionable, and production-quality — not generic summaries. The entire pipeline runs in parallel, with real-time progress tracking so founders see results as they're generated. Built on Complete.dev's Agent Builder infrastructure and deployed live, Launchium is not a demo — it's a working product. Founders sign in, enter their idea, and walk away with a validated business concept, working code, security report, pitch deck, and marketing kit. No team required. No months of planning. Just launch.

Sherlock Analyzer - AI That Checks Explanations

Sherlock Analyzer demonstrates how coordinated AI agents can perform structured reasoning instead of simple text generation. Traditional chatbots provide persuasive explanations but do not show how conclusions were reached. Our system breaks reasoning into a controlled pipeline of specialized agents. A question-framing agent defines the investigation scope. A timeline agent constructs a sequence of verified events from primary sources. A claims-analysis agent compares public statements with documented actions. Finally, a synthesis agent produces a concise explanation and assigns a confidence level. The output clearly shows: • what was publicly claimed • what actually happened • where contradictions occur • how confident the conclusion is The demo analyzes the Volkswagen Dieselgate case and automatically detects conflicts between official corporate statements and regulatory evidence. Potential users include investigative journalists, compliance teams, auditors, regulators, and policy researchers who require transparent, auditable AI reasoning.