Atomic Strata builds high-performance, configurable context for AI applications, agents, and enterprise workflows.
Santa Monica, CA
- Tweets 455
- Following 67
- Followers 2,336
- Likes 443
Pinned Tweet
Let your system run autonomously.
Give your agents memory they can use across sessions, and your team a way to see what was stored, retrieved, corrected, and why.
Configurable memory for AI agents, now in Public Beta.
memory.atomicstrata.ai/?utm_…
12
10
34
7,339
Add durable memory to your AI agent in a few commands.
The Atomic Memory Cloud OS QuickStart takes you from local setup to your first stored and retrieved preference with Docker, an OpenAI API key, and three CLI steps.
Start building with a configurable AI memory: docs.atomicstrata.ai/open-so…
4
8
72
Imagine a @DBSbank AI assistant that goes beyond generic banking answers.
Instead, it uses your approved financial context to give more personalized guidance on savings, cards, and travel benefits without making you explain your goals every time.
Atomic Memory Cloud can help you achieve that.
memory.atomicstrata.ai/?utm_…
4
13
88
Cut your token costs by up to 90% with agent memory.
Ever notice your agents reload the same files and repeat decisions? That's because context stays trapped in the transcript of every previous task. Each repeated file and decision adds more tokens for the model to process, which increases the cost of completing the task.
5
3
18
229
So how does agent memory reduce that cost?
Having an external memory system lets an agent extract durable information from each conversation and store it separately, rather than keeping everything in its active context.
That information is indexed by meaning and task relevance. So the agent can then retrieve the specific facts it needs when a later task requires them.
This gives the model a smaller, task-specific context to process, and doesn't require the agent to read the entire transcript again.
1
1
7
64
Are you ready to reduce repeated context and lower token costs?
Check out Atomic Memory Cloud:
memory.atomicstrata.ai/?utm_…
1
6
36
Here’s what @OpenAI announced at DevDay:
1. ChatGPT is becoming a workspace through ChatGPT Space, which brings projects, goals, context, and previous work together.
2. GPT-6.1 Sol improves coding, computer use, and agentic tasks while costing less than Astra.
3. Astra Ultrafast brings faster performance to ChatGPT Work, Codex, and the API.
4. Dots are persistent Astra-powered agents with cloud computers, connected apps, configurable permissions, and ongoing task execution.
5. Codex is gaining parallel agents, cloud environments, mobile access, voice, worktrees, and automatic code reviews.
6. The Agents API is adding deeper computer use, multi-agent orchestration, and stronger tool handling.
7. Pages and Slides now support live dashboards, charts, connected data, and collaborative presentations inside ChatGPT.
8. Plugins are becoming interactive apps with sidebars, custom viewers, and event triggers.
9. ChatGPT is expanding into Slack and Teams, where it can investigate questions, prepare updates, and use connected tools.
10. Meeting agents can record discussions, save notes, extract decisions, and turn outcomes into follow-up work.
11. OpenAI introduced Sign in with ChatGPT, giving users a new way to access connected applications.
12. A new $500 monthly Pro tier offers higher limits and exclusive Astra Ultrafast access in Work and Codex.
AI agents are moving closer to completing meaningful work across tools, environments, and teams. Reliable, portable context will become essential as these systems become more persistent.
3
4
15
118
Atomic Strata retweeted
My skills work across coding agents. I wanted my preferences to travel with me too.
With @AtomicStrata Memory, @cursor_ai can pick up the stack preferences @opencode learned about me.
Here’s what that looks like 👇
1
5
420
The most valuable part of your AI is its memory.
In this clip, Atomic Strata co-founder @Aileentech explains why owning your AI data matters for keeping that context portable and useful over time.
Is your AI context portable, or is it tied to a single platform?
3
2
11
184
Claude Sonnet 5.5 is impressive.
This new release costs up to 30% less than Sonnet 5, while matching Opus 5.5 on knowledge benchmarks. It's capable of achieving results while using fewer tokens, making it more efficient for real-world projects.
Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family.
It’s a clear upgrade over Sonnet 5, runs more than 30% faster, and costs up to 30% less for most work.
1
7
213
We started Atomic Strata with one goal:
🧵 Build context infrastructure people can actually own.
3
2
12
114
It all began with LLM Wiki Compiler, which turned scattered documents into a structured wiki and gave agents the knowledge they need to work with.
As we built it, we saw that agents needed more than structured knowledge because they also needed to remember decisions and trace past interactions,
which led us to build Atomic Memory Cloud and bring the same self-hosted and configurable approach to the memory agents rely on.
1
5
72
Build profitable AI agents with accurate memory.
When information changes, your agent should update its understanding automatically. Reliable outputs reduce rework and improve adoption across every deployment.
Build AI agents people trust and continue using.
memory.atomicstrata.ai/?utm_…
4
6
13
130
We achieved 2.1k GitHub stars for LLM Wiki Compiler!
This milestone belongs to everyone who has explored the project, shared feedback and contributed along the way. We're grateful to have an awesome dev community building with us!
Disclaimer: no LLMs were harmed in the making of this repo
3
1
6
115
Check out the repo here 👇
github.com/atomicstrata/llm-…
3
47
Keep your organization's operating knowledge current.
When someone corrects a process, the agent updates the relevant guidance and retrieves the latest version when another teammate needs to act.
Turn every correction into better operations.
memory.atomicstrata.ai/?utm_…
1
3
9
111
Opus 5.5 release looks seriously impressive for agentic work.
Matching Fable 5.1 on most tasks while costing 40% less to run than Opus 5. This model can handle multi-hour coding tasks, build playable games from a single prompt, generate procedural animations through code, and port complex systems such as HAProxy from C to Rust.
@AnthropicAI raises the bar for what agents can accomplish!
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
3
3
17
243
Scale your AI products across more deployments.
Developers should be able to support private context without rebuilding the product for every environment. One architecture can serve multiple deployments while keeping each workspace isolated and reliable.
Increase your profits without multiplying technical complexity.
memory.atomicstrata.ai/?utm_…
2
3
12
130
Claude support in Hermes Agent is a strong step toward a provider-flexible agent stack.
Hermes users should be able to bring their memory wherever they run. Give your agents configurable memory that stays portable across models, tools, and sessions.
memory.atomicstrata.ai/?utm_…
Welcome back to Hermes Agent, Claude
New official plugin that uses Claude SDK without the tradeoffs to enable Claude Code subscriptions to work in Hermes Agent again!
Check it out and install it here: hermes-agent.nousresearch.co…
1
9
181