Building AI agents that interact with the real world sounds simple — until you actually try to connect APIs.
Suddenly you're dealing with:
- OAuth flows
- API key management
- Rate limits
- Different SDKs for every service
That's where tools like Composio come in. But it's not the only option — and depending on your use case, it may not be the simplest one either.
Here's a breakdown of the best Composio alternatives in 2026, and when each one makes sense.
What Does Composio Do?
Composio provides a way for AI agents to interact with external APIs through a structured platform. It offers integrations, authentication handling, and a developer-facing SDK.
It's designed for teams building production-grade agent workflows — but that also means more setup and configuration.
1. Ohita — Simplest Unified API for AI Agents
Ohita takes a different approach: one API key, immediate access to 16 services.
Instead of configuring integrations, you:
- Get a key
- Call an endpoint
- Start building
Example:
Where Ohita stands out:
- Fastest time to first API call — under 5 minutes
- No OAuth setup — authentication is fully abstracted for most services
- Bring Your Own Key (BYOK) — optionally use your own provider credentials for full control over quotas
- No dashboards or SDK complexity
- 16 providers including GitHub, Hacker News, YouTube, Wikipedia, CoinGecko, Finnhub, Stack Exchange, and more
- Works with any LLM or agent framework — LangChain, CrewAI, AutoGen, OpenAI Agents SDK, and more
Where it may not fit:
- Teams that want deep customization or full infrastructure control
Ohita is best for developers who want to move fast and avoid setup overhead. Get started free →
2. Composio — Structured Platform for Agent Integrations
Composio is a strong option if you want:
- A more structured environment
- SDK-driven workflows
- Dashboard-based management
Strengths:
- Organized integration system
- Designed for scaling agent workflows
- Good for teams
Tradeoffs:
- More setup time (~30 minutes to first call)
- Requires configuration and onboarding
- Less "instant" compared to simpler tools
3. Nango — OAuth + Integration Backend
Nango is built around solving OAuth and syncing integrations.
Best for:
- Backend systems
- SaaS integrations
- OAuth-heavy workflows
Strengths:
- Handles authentication flows well
- Good for syncing external data
Tradeoffs:
- Requires setup and infrastructure (~1 hour)
- Not designed specifically for AI agents
- Slower to get started
4. Arcade — API Integrations with Developer Platform
Arcade provides integrations through an SDK and dashboard model.
Strengths:
- Structured developer tooling
- Integration management
Tradeoffs:
- Requires SDK setup
- Dashboard configuration needed
- More steps before first API call (~30 minutes)
Ohita vs Composio vs Nango vs Arcade
| Feature | Ohita | Composio | Nango | Arcade |
|---|---|---|---|---|
| Setup time | < 5 min | ~30 min | ~1 hour | ~30 min |
| API access model | Unified API | SDK + platform | Backend integrations | SDK + platform |
| OAuth handling | Fully abstracted + BYOK | Partial | Core feature | Partial |
| Solo dev friendly | ✓ Yes | ~ Moderate | ✗ No | ~ Moderate |
| AI agent focus | High | High | Low | Medium |
Which One Should You Choose?
- Choose Ohita if you want the fastest path from idea to working agent
- Choose Composio if you want structure and scalability
- Choose Nango if OAuth and syncing are your main problems
- Choose Arcade if you prefer SDK-driven integrations
Final Take
Most developers don't fail at building agents — they get slowed down by integrations.
The right tool depends on whether you value:
- Speed → Ohita
- Structure → Composio
- Control → Nango
If your goal is to ship quickly and iterate, simpler tools tend to win.