RecallBricks vs Alternatives
See why developers choose RecallBricks Runtime for AI agent memory.
The Problem
Every AI developer faces the same challenge: giving agents persistent memory.
The traditional approach requires:
- Choose a framework (LangChain, AutoGen, CrewAI)
- Configure vector databases
- Manage embeddings
- Build retrieval logic
- Handle context windows
- Write orchestration code
Result: Weeks of development before your agent works.
The RecallBricks Approach
RecallBricks Runtime makes memory automatic.
import { AgentRuntime } from '@recallbricks/runtime';
const agent = new AgentRuntime({
llmApiKey: process.env.ANTHROPIC_API_KEY,
apiKey: process.env.RECALLBRICKS_API_KEY
});
await agent.chat('Hello');
// Memory is automaticResult: Production-ready agent in 5 minutes.
RecallBricks Runtime vs LangChain
LangChain is powerful but requires significant setup. RecallBricks is zero-config.
| Feature | RecallBricks Runtime | LangChain |
|---|---|---|
| Setup Time | 5 minutes | Hours to days |
| Configuration | Zero config | Extensive setup |
| Vector DB | Built-in | You configure |
| Memory Management | Automatic | Manual chains |
| LLM Support | Any provider | Limited integrations |
| Learning Curve | None | Steep |
| Maintenance | Zero | Ongoing |
| Production Ready | Out of box | Requires hardening |
RecallBricks Runtime vs Building Custom
Building your own memory system is possible, but expensive and time-consuming.
| Factor | RecallBricks Runtime | Custom Solution |
|---|---|---|
| Time to Ship | 5 minutes | 6+ months |
| Infrastructure | Managed | You build & maintain |
| Memory System | Battle-tested | From scratch |
| Edge Cases | Already handled | Discover over time |
| Team Required | Any developer | ML + infra expertise |
| Total Cost | $79/month | $50k+ engineering time |
When to Use What
RecallBricks Runtime
Use when you want production-ready AI agents with persistent memory in minutes.
- - New AI projects
- - Startups shipping fast
- - Teams without ML infra expertise
- - Any LLM provider
LangChain + RecallBricks
Use when you have existing LangChain code and want to add persistent memory.
- - Existing LangChain projects
- - Complex chain orchestration
- - Custom tool integrations
Custom Solution
Use when you have 6+ months, ML expertise, and very specific requirements.
- - Unique data sovereignty needs
- - Specialized algorithms
- - Large dedicated team