One HTTP API for persistent memory, shared namespaces, TTLs, and tenant isolation, whether you run one agent or a whole team. No vector database. No embedding pipeline. No memory infrastructure to build yourself.
Tell both agents a few things about yourself. Start a new session, the way your users do every day. Then ask what you said.
Three endpoints. No infrastructure. No setup headaches. Your agents remember things now.
Send your email and we send back an API key with 1,000 free credits. No credit card required to start.
Store anything your agent needs to remember. User preferences, task state, conversation context. Each write costs one credit.
Retrieve any memory later. Your agent picks up where it left off, with the facts and state you saved.
Check remaining credits at any time. Top up when needed. This endpoint never deducts a credit.
No unnecessary context bloat. No graph configuration. No embedding pipeline. Memory that works the first time and keeps working.
Store and retrieve memory with a single HTTP request. No retrieval strategies to configure, no embeddings to tune, no query language to learn. Your agent asks by key and gets its answer.
Each API key operates in a private namespace. No agent can read another agent's memories. No shared state unless you choose it.
Find any stored memory by text in a single call. No embeddings to configure, no vector index to provision, no retrieval pipeline to maintain.
Writing to an existing key updates the value in place. No stale memories building up. No cleanup logic to write yourself.
Some facts change and you need to know what they used to be. Assert a value instead of overwriting and you get the whole chain: what it was, who changed it, and when. If two agents disagree, a read says so rather than quietly picking one. Temporal memory →
Set a TTL on any memory and it disappears automatically when it is no longer relevant. No cron jobs. No manual pruning. Clean context by default.
Create a shared namespace and let multiple agents read and write to the same memory pool. Built for multi-agent workflows from the ground up, not bolted on.
Plain HTTP. If your agent can make a web request, it works. No SDK required. No lock-in to any orchestration tool, agent runtime, or cloud provider.
One operation costs one credit. Not one token. Not one episode that multiplies with conversation length. You know what you are paying before you pay it.
Credits deduct only on success. If a request fails for any reason, your credit returns automatically. No billing surprises from operations that did not complete.
AgentRAM ships an MCP server, so any MCP-compatible agent gets persistent memory from one config block. Or drop in the SDK. No framework rewrite, no lock-in.
More agents (OpenClaw, Hermes) are on the way. Building on something else? It is just HTTP, so any framework works.
An honest self-check, and the reasoning behind it. No signup, no hard sell. If you do not need a memory layer yet, it will tell you so.
Ten quick questions that tell you whether you need a memory layer, which kind, and what to do next. It says "not yet" when that is the honest answer. No signup.
The benefits, one by one: continuity across sessions, personalization, leaner and cheaper prompts, reusing what already worked, and coordinating multiple agents.
One operation, one credit. No per-token billing that explodes as your agents get smarter. Credits never expire.
1,000 free operations on signup. No credit card required.
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