Respan Gateway

Best Respan Gateway Alternatives in 2026

3 alternatives found

Overview of Respan Gateway

Respan Gateway is an AI infrastructure platform that connects your application to over 1,000 AI models through a single endpoint. Beyond basic routing, it provides production-grade reliability and control features such as fallbacks, retries, caching, spend limits, alerts, and full traces for every call. The platform also includes observability, evals, prompt management, monitors, and cost controls—all in one place—so teams don’t need to stitch together multiple tools to debug production. Respan Gateway is open source and can be self-hosted, making it a strong choice for organizations that need deep control over their AI stack.

Why Look for Alternatives

While Respan Gateway offers a comprehensive feature set, it may not be the perfect fit for every team. Some organizations might prioritize different capabilities:

  • Agent orchestration and delivery: Teams that want ready-made agents accessible through chat apps rather than building on infrastructure.
  • Embeddable chat UI and billing: Developers who need a quick way to embed a customer-facing agent with built-in usage billing.
  • Runtime security and governance: Organizations focused on preventing prompt injection and data exfiltration at the tool boundary.

Additionally, some teams may find Respan Gateway’s breadth overwhelming or may prefer a more specialized tool that aligns with their primary use case. Budget, technical expertise, and existing workflows also play a role in choosing an alternative.

Top Alternatives

1. AgentSky

Score: 38/100

AgentSky provides fully managed, long-horizon agents (such as Claude Code, Codex, Hermes, and OpenClaw) out of the box. It allows you to interact with agents through popular chat apps like WhatsApp, iMessage, Telegram, Slack, and Discord without additional integration work. With 700+ plugins for common SaaS tools (GitHub, Gmail, Notion, Jira, etc.), AgentSky reduces setup for agent workflows. It also offers a Mac app that can run agents locally and seamlessly move to the cloud, plus team collaboration features so multiple people can follow and interact with agent sessions.

Pros:

  • Fully managed agents with long-horizon capabilities
  • Access via chat apps without extra integration
  • 700+ plugins for SaaS tools
  • Mac app for local/cloud hybrid use
  • Team collaboration features

Cons:

  • Focuses on agent orchestration, not model routing, fallbacks, caching, or spend controls
  • Lacks deep observability, evals, prompt management, and cost governance
  • Limited to 130 models from 46 makers (vs. Respan’s 1,000+)
  • No self-hosted or open-source option
  • Lacks PII redaction, per-customer spend limits, and load balancing

Use cases: Choose AgentSky if you want to quickly deploy and interact with ready-made AI agents through chat apps and plugins, rather than building and operating your own model gateway. It suits teams that prioritize agent accessibility and collaboration over low-level routing, observability, and cost control.

2. 21st Agents SDK

Score: 35/100

21st Agents SDK offers a complete, embeddable chat UI and session management out of the box, reducing frontend work. It provides TypeScript-first agent definition with one-command deployment, simplifying the developer experience. Built-in usage billing and observability are tailored for customer-facing agents. Backed by Y Combinator, it indicates active development and support.

Pros:

  • Embeddable chat UI and session management
  • TypeScript-first agent definition with one-command deployment
  • Built-in usage billing and observability for customer-facing agents
  • Backed by Y Combinator

Cons:

  • No multi-model routing, fallbacks, or load balancing across 1,000+ models
  • Lacks advanced gateway features like PII redaction, per-customer spend limits, and caching
  • No self-hosted or open-source option; deployment tied to their platform
  • Limited to agent-specific use cases, not a general AI infrastructure layer

Use cases: Choose 21st Agents SDK if you need to quickly build and embed a customer-facing AI agent with a ready-made chat UI and built-in billing, rather than managing multi-model routing and production reliability across many providers.

3. Aethra AI

Score: 35/100

Aethra AI focuses on runtime security and governance for AI agents, blocking prompt injection and data exfiltration at the tool boundary. It uses provenance-based enforcement (trusted vs. untrusted data labels) rather than pattern matching, reducing false positives. The open-source SDK (Apache 2.0) with offline enforcement works without relying on a hosted service. An optional control plane provides human approvals, audit evidence, and a kill-switch for agent actions. It is strong on security-specific use cases like preventing sensitive data leaks and unauthorized actions.

Pros:

  • Runtime security and governance for AI agents
  • Provenance-based enforcement reduces false positives
  • Open-source SDK (Apache 2.0) with offline enforcement
  • Optional control plane with human approvals, audit evidence, and kill-switch
  • Strong for preventing sensitive data leaks and unauthorized actions

Cons:

  • No model routing, fallbacks, caching, or spend limits across 1,000+ AI models
  • Lacks observability features like full traces, evals, prompt management, and cost controls
  • Not a gateway; cannot serve as a single API endpoint for multiple model providers
  • Early-stage pre-seed product with limited track record
  • Requires integration at the agent/tool level rather than being a drop-in replacement for an AI gateway

Use cases: Choose Aethra AI when your primary concern is securing AI agents against prompt injection and data exfiltration, especially if you need provenance-based enforcement and human approval workflows. It complements rather than replaces Respan Gateway if you also need model routing, observability, and cost management.

How to Choose

Selecting the right alternative depends on your team’s priorities:

  • If you need ready-made agents and chat app integration: AgentSky is a strong choice for quickly deploying and interacting with agents through popular messaging platforms, with extensive plugins and team collaboration.
  • If you’re building a customer-facing agent with embedded chat and billing: 21st Agents SDK simplifies frontend work and provides built-in usage billing, ideal for agent-specific use cases.
  • If security and governance are paramount: Aethra AI offers runtime protection against prompt injection and data exfiltration, with provenance-based enforcement and human approval workflows.

Consider whether you need a full AI gateway with routing, observability, and cost controls (Respan Gateway’s strength) or a specialized tool that addresses a specific pain point. Evaluate factors like self-hosting requirements, model catalog size, and integration effort. For teams that need both security and gateway capabilities, Aethra AI can complement Respan Gateway rather than replace it.

Alternatives

AgentSky

<p>Managed agent as a service: launch a long-horizon AI agent in one click — Claude Code, Codex, Hermes, or OpenClaw — with full history, managed recovery, and access through WhatsApp, iMessage, Telegram, Slack, web, API developers, and CLI.</p>

Pros

  • + Provides fully managed, long-horizon agents (Claude Code, Codex, Hermes, OpenClaw) out of the box, whereas Respan Gateway is infrastructure you must build on
  • + Access agents through chat apps like WhatsApp, iMessage, Telegram, Slack, and Discord without additional integration work
  • + Includes 700+ plugins for common SaaS tools (GitHub, Gmail, Notion, Jira, etc.), reducing setup for agent workflows
  • + Offers a Mac app that can run agents locally and seamlessly move to the cloud, useful for hybrid or offline scenarios
  • + Bundles team collaboration features so multiple people can follow and interact with agent sessions

Cons

  • - Focuses on agent orchestration and delivery rather than model routing, fallbacks, caching, or spend controls
  • - Does not provide the deep observability, evals, prompt management, or cost governance that Respan Gateway offers
  • - Limited to a curated set of agents and models (130 models from 46 makers) versus Respan's 1,000+ model catalog
  • - No self-hosted or open-source option mentioned; Respan Gateway is open source and can run on your own infrastructure
  • - Lacks PII redaction, per-customer spend limits, and load balancing features critical for production AI reliability

Choose AgentSky if you want to quickly deploy and interact with ready-made AI agents through chat apps and plugins, rather than building and operating your own model gateway. It suits teams that prioritize agent accessibility and collaboration over low-level routing, observability, and cost control.

21st Agents SDK

21st Agents SDK is the fastest way to add an AI agent to your app. Define your agent in TypeScript, deploy in one command, and embed a production-ready chat UI with Built-in streaming, session management, usage billing, and observability — so you can focus on what makes your agent unique, not infrastructure. Backed by Y Combinator (W26).

Pros

  • + Provides a complete, embeddable chat UI and session management out of the box, reducing frontend work
  • + TypeScript-first agent definition with one-command deployment simplifies the developer experience
  • + Built-in usage billing and observability tailored for customer-facing agents
  • + Backed by Y Combinator, indicating active development and support

Cons

  • - Does not offer multi-model routing, fallbacks, or load balancing across 1,000+ models
  • - Lacks advanced gateway features like PII redaction, spend limits per customer, and caching
  • - No self-hosted or open-source option; deployment is tied to their platform
  • - Limited to agent-specific use cases, whereas Respan Gateway serves as a general AI infrastructure layer

Choose 21st Agents SDK if you need to quickly build and embed a customer-facing AI agent with a ready-made chat UI and built-in billing, rather than managing multi-model routing and production reliability across many providers.

Aethra AI

<p>Aethra AI is a pre-seed startup building a runtime defence and governance platform for AI agents. Our core product is an enforcement layer — a Planner / Quarantined Extractor / Executor architecture aligned with dual-LLM security research (CaMeL) — that tracks data provenance and blocks untrusted instructions before they can drive agent actions.</p><p>Our open-source SDK (Apache 2.0, Python and Node/TS) is available on GitHub, with an optional hosted control plane for approvals, audit evidence, and kill-switch functionality.</p><p>In benchmark testing on AgentDojo, Aethra blocked 35/35 injection goals with 0 false positives (full LLM-backed evaluation in progress).</p><p>We're currently raising a €1.0–1.5M pre-seed round.</p>

Pros

  • + Focuses on runtime security and governance for AI agents, blocking prompt injection and data exfiltration at the tool boundary
  • + Provenance-based enforcement (trusted vs. untrusted data labels) rather than pattern matching, reducing false positives
  • + Open-source SDK (Apache 2.0) with offline enforcement, so protection works without relying on a hosted service
  • + Optional control plane provides human approvals, audit evidence, and kill-switch for agent actions
  • + Strong on security-specific use cases like preventing sensitive data leaks and unauthorized actions

Cons

  • - Does not provide model routing, fallbacks, caching, or spend limits across 1,000+ AI models
  • - Lacks observability features like full traces, evals, prompt management, and cost controls for LLM calls
  • - Not a gateway: cannot serve as a single API endpoint for multiple model providers
  • - Early-stage pre-seed product with limited track record and no mention of performance benchmarks for LLM routing
  • - Requires integration at the agent/tool level rather than being a drop-in replacement for an AI gateway

Choose Aethra AI when your primary concern is securing AI agents against prompt injection and data exfiltration, especially if you need provenance-based enforcement and human approval workflows. It complements rather than replaces Respan Gateway if you also need model routing, observability, and cost management.