AI agent creator: best tools for building agents in 2026
Blog post from CodeWords
The AI agent creator market in 2026 is categorized into conversational platforms, visual builders, and code-first frameworks, each catering to different user profiles based on technical expertise and deployment needs. CodeWords stands out by allowing users to create agents through natural language interactions with Cody, offering a serverless infrastructure that simplifies deployment, scheduling, and monitoring. It supports multi-model access, enabling flexibility and reducing risks associated with reliance on a single LLM provider. CodeWords also boasts extensive integration capabilities, allowing agents to interact with over 500 systems, and features Redis-based state persistence for context memory. Pricing models vary, with CodeWords adopting a usage-based model, contrasting with seat-based and self-hosted options prevalent in the market. The focus for the future is on domain specialization, agent-to-agent communication, and maintaining autonomy with accountability, while the challenge remains in identifying suitable processes for automation and clearly specifying agent behaviors.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 18 | 5,657 | 1,451 | 270 | -3% |
| LLM | 12 | 9,814 | 1,776 | 243 | +42% |
| Serverless | 4 | 1,846 | 630 | 102 | +131% |
| Multi-agent systems | 3 | 598 | 222 | 86 | +12% |
| MCP | 2 | 7,755 | 814 | 203 | -3% |
| Kubernetes | 1 | 2,019 | 384 | 116 | -16% |
| Secrets Management | 1 | 2,324 | 403 | 114 | +18% |
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