whereismyai
Seclai
Seclai is a production AI infrastructure platform that manages LLM workflows, governance, evaluations, and 200+ models.
Seclai provides production infrastructure for AI applications by unifying workflows, evaluations, governance, and model management under one runtime. It allows teams to orchestrate AI agents, switch between 200+ models from major providers, and enforce natural-language safety policies. The platform includes step-level traces for observability, automated RAG synchronization from URLs and files, and persistent memory banks. Developers can deploy agents via HTTP endpoints using SDKs for Python, JavaScript, Go, and C#. It is built for engineering teams who need to monitor costs, run evaluations locally and in production, and protect applications against prompt injection.
Seclai at a glance
- Best for: Software engineer
- Runs on: Web, API
- Pricing: Free trial available; Personal $15/month; Starter $25/month; Team $75/month; Pro $375/month
- Released: October 2026
- Category: AI coding tool
- Website: seclai.com
Key features
- Orchestrate AI workflows visually or in code
- Switch between 200 plus models
- Enforce natural-language safety policies
- Monitor step-level traces and latency
- Sync content sources into knowledge bases
- Run identical evals locally and in production
- Track costs per model and agent
Use it for
- Building and deploying production AI agents
- Screening content for governance and compliance
- Running automated model evaluations
- Managing RAG knowledge bases from external sources
Alternatives to Seclai
- Portkey — Unified API access with observability, guardrails, and caching for LLM applications.
- Autoloom — It embeds engineering judgment, change necessity checks, and evidence-backed delivery into automated coding.
- aiXcoder — Provides full-stack private deployment for secure, enterprise-wide code generation.
- ODS — Automates complex local AI infrastructure setups with one command.
- AG-UI — Standardizes agent-user interactions and generative UI for applications.
- Loushang — It provides persistent sessions, model routing, and method-guided code delivery.
- DevSpecs — Keeps a durable thread of AI work locally without cloud sync or LLM calls.
- Arthur — Enforces policies and monitors enterprise AI agents on a single control plane.
- Future AGI — Debug, test, and protect AI agents using simulations, tracing, and guardrails.
- Codacy — Enforces unified coding standards and security policies across the software lifecycle.
- LangChain — Compose exactly the agent your use case needs from model, tools, prompt, and middleware.
- AiSOC — Runs locally without API keys with bundled models and auditable reasoning ledgers.
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