Your AI agent forgets everything between sessions. Slopshop gives it a persistent key-value store, queues, and counters -- free on every plan, with no expiry and no storage limits.
Every LLM call starts from scratch. The context window is not memory -- it is a temporary scratchpad that gets wiped when the session ends. This means your agent cannot remember user preferences, accumulate knowledge over time, or share state with other agents.
The traditional fix is to provision a database -- Redis for fast KV access, Postgres for structured data, maybe a vector store for semantic search. But that is a lot of infrastructure for a prototype. You need connection strings, schema migrations, serialization logic, and deployment config before you have even tested whether the agent works.
The memory API includes five primitives that cover the vast majority of agent state management needs:
memory-set and memory-get for storing and retrieving arbitrary JSON values. Keys never expire.memory-keys returns all stored keys, optionally filtered by prefix. Useful for namespace-based organization.counter-increment for atomic counters. Track usage, count events, implement rate limiting.queue-push and queue-pop for FIFO task queues. Coordinate work between multiple agents.memory-delete to remove keys when you no longer need them.curl -X POST https://slopshop.gg/v1/tools/run \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"tool":"memory-set","input":{"key":"user:alice:prefs","value":{"timezone":"US/Pacific","format":"markdown"}}}'
Next session, the agent calls memory-get with the same key and instantly has Alice's preferences. No database, no config, no TTL to worry about.
Most caching services expire data after hours or days. Slopshop memory keys persist indefinitely. An agent can store something in January and retrieve it in December. This enables genuine long-term learning: the agent accumulates context over weeks and months, building a richer understanding of the tasks it handles.
This is especially powerful for multi-agent hive workspaces where a team of agents shares a common memory namespace. One agent researches, another writes, a third reviews -- and they all read from the same persistent state.
There is no cap on the number of keys or the total storage size on paid plans. The free tier is generous enough for most prototypes and side projects. If your agent needs to store thousands of research notes, conversation summaries, or extracted data points, it can do so without worrying about hitting a wall.
Compare this to platforms that charge per read/write operation or impose tight storage quotas. With Slopshop, memory is infrastructure you do not have to think about. It is just there. See the full memory API reference.
500 credits on signup. Memory is free forever. No credit card required.