Agents Memory

by Autonos Inc.

Autonos builds infrastructure for the agentic era — the layer of foundational services that AI agents need to move from impressive demos to production products.

We believe the shift from static software to autonomous agents is one of the most significant platform transitions in computing.

Like the cloud era needed databases, queues, and auth services — the agent era needs memory, planning, and orchestration primitives built specifically for how agents work.

Infrastructure first

Primitives that let your product shine.

Infrastructure first

Primitives that let your product shine.

Depth over breadth

One hard problem, solved completely.

Depth over breadth

One hard problem, solved completely.

Developers as partners

Clear docs, honest tradeoffs, no black boxes.

Developers as partners

Clear docs, honest tradeoffs, no black boxes.

Privacy by design

Your data treated with utmost care.

Privacy by design

Your data treated with utmost care.

The Product

Why we built Agents Memory.

We didn't set out to build a memory product. We set out to build an AI assistant — and memory was the problem that kept blocking us.

The frustration

Building an AI assistant, we hit the same wall every agent developer hits: every session starts from zero. Users re-introduce themselves. Agents ask the same questions. Context is lost.

The workaround that didn't work

We tried appending conversation history to the context window. We tried RAG over transcripts. Neither worked at scale — too slow, too expensive, too dumb about what actually mattered.

Building the right thing

We stopped building the assistant and started building the memory layer it needed. Hierarchical scopes, neural pathway reinforcement, Ebbinghaus decay, contradiction detection. The full model.

Agents Memory goes public

After running in private beta with a handful of teams, we opened Agents Memory to the public. One API. Persistent memory for any agent, any stack, any LLM.

The Insight

"Memory isn't a feature you add to an agent. It's the infrastructure the agent runs on."

Every serious AI agent will eventually need to remember users across sessions, track what has changed, and know what to forget. That's not a product decision — it's a fundamental requirement of agents that actually work over time. We built Agents Memory so every team building agents can have that layer from day one, without the months of engineering to build it themselves.

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