MEMORY INFRASTRUCTURE FOR AI AGENTS
Your context window is for reasoning. Not for memory.
Stop paying your LLM to remember things it already knew. Synapse stores memory once, retrieves only what's relevant, and never burns a token doing it. Your agent gets smarter over time. Your API bill goes down.
You're probably paying your LLM to remember things it already knew. Every context reload, every repeated summary — that's tokens. Synapse fixes that.
Call POST /v1/record. Body stored in Postgres, classified by a local Gemma model. No LLM call. No token cost.
Call GET /v1/query. Full-text search + semantic ranking across your agent's entire memory. Sub-100ms.
Your agent walks into every session knowing what happened before. Context that compounds.
| Feature | Other solutions | Synapse |
|---|---|---|
| LLM call per write | 1 call per write (~$0.003) | 0 calls ($0.00) |
| Advanced features | Top tier only ($249+/mo) | All tiers |
| Framework lock-in | Vendor SDK required | Any HTTP client |
| Classifier accuracy | ~49–70% typical | Domain-trained |
Benchmarks based on independent LongMemEval testing across leading memory providers.
All tiers include FTS search, classification, open items, and session history. No paywalled features.
CC required at signup — free tier is $0/mo, no charge until you upgrade. Signals production intent, not a toy.