The no-code foundry for deploying production-ready AI agents and multi-modal workflows.
Kodaps is an advanced orchestration platform designed for the 2026 AI landscape, enabling developers and product managers to transition from prompt engineering to production-grade AI agents without managing infrastructure. The technical architecture centers on a modular node-based system where users can chain diverse Large Language Models (LLMs) like GPT-4o, Claude 3.5 Sonnet, and Llama 3 with external tools and data sources. Unlike basic wrapper tools, Kodaps provides a robust execution environment that supports state management, asynchronous processing, and custom Python tool integration. Its market positioning focuses on reducing 'time-to-agent' for SMEs and internal enterprise labs that require specialized AI workflows but lack the bandwidth for complex LangChain or AutoGen deployments. The platform provides a unique bridge between high-level no-code interfaces and low-level API control, allowing for the deployment of AI applications as standalone web apps or as headless API endpoints integrated into existing enterprise stacks.
Dynamically routes sub-tasks to different models (e.g., Llama 3 for speed, GPT-4 for logic) to optimize cost and latency.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Built-in vector storage for PDF and URL indexing, allowing agents to query specific knowledge bases.
Supports real-time token streaming to user interfaces for a responsive chat experience.
Allows multiple logic branches to run simultaneously, merging results at a final synthesis node.
Encrypted storage for third-party API keys and sensitive environment variables.
Maintains a history of app iterations, allowing instant rollback to previous prompt versions.
In-line code editor to execute custom data processing that can't be handled by standard nodes.
Marketing teams manually research keywords and write briefs for hours.
Registry Updated:2/7/2026
Node 4 outputs the draft directly to a WordPress webhook.
SDRs spend too much time on low-quality inbound leads.
Legal or medical professionals need to query long-form documents quickly.