contexto 🦞

your Claw needs this, join the waitlist now! getcontexto.com

join now: getcontexto.com

last week we demoed contexto at network school in front of 70+ builders. you never really know if what you’re building matters until you put it in front of people who’d actually use it. a lot of openclaw builders joined the waitlist right after the demo. it gave us confidence. we’re solving a real problem. if you’re building with ai agents and context is breaking, join the waitlist :)

your Obsidian second brain can’t help your openclaw you need right context at the right moment

i recently put together a fairly comprehensive doc on my learnings around context engineering. If this is something you’re interested in, comment context and i’m happy to send it over. i think context engineering is important discipline if you care about real-world AI performance. in practice, what often matters is: -what information the model has access to -how that information is retrieved -how it is structured -what gets excluded -and how state, memory, and tool use are managed across the workflow a lot of failures people describe as “model issues” are actually context issues: -the right information was never available -too much irrelevant information was included -retrieval was noisy -the context arrived in the wrong format -or the system had no reliable way to maintain state that is also why the gap between a good demo and a good production system can be so large.

@Web3_Studentt @ekailabsxyz thanks for support ser

@getcontexto @ekailabsxyz Exactly The future of AI is nott just intelligence. It’s continuity. Excited to see how GetContexto pushes this vision forward. Great to see Ekai Labs moving forward with GetContexto.

Memory Is the New Moat in AI For a long time, the AI race was about building bigger and smarter models. But something is changing. Models are quickly becoming commodities. Powerful AI is now accessible to almost anyone through APIs and open source tools. When intelligence becomes widely available, it stops being the real advantage. 🔹The real advantage becomes memory. AI without memory starts from zero every time. It forgets your preferences, your goals, and your past interactions. 🔹 That kind of AI can answer questions. But it cannot truly assist you. 🔹Real AI value comes from continuity. the ability to remember, learn, and adapt over time. This is why context and persistent memory are becoming the new infrastructure layer. Instead of locking user data inside separate apps, platforms like @ekailabsxyz are building a Universal Context Layer where memory can persist and move across systems. Your context stays yours. Your agents carry that context wherever they operate. 🔹And that changes everything. Because in the next phase of AI, the winner will not be the platform with the biggest model. It will be the one that remembers best. @ekailabsxyz @sh1sh1nk #EkaiLabs #AIInfrastructure #AIMemory #Aifuture

i’ll share our journey every day on how contexto is being built to be the defacto context engine for openclaw and beyond day 1 we decided to help long running agents in Openclaw ecosystem

OpenClaw suffers from bad context management most users maintain a single, indefinite session, on Telegram, where - context windows become cluttered with irrelevant facts - this increases token usage and costs - causes compaction at critical moments, like during tool calls we are building Contexto to solve these issues. after multiple user interviews, we see this is valid pain point, now we are accelerating!

builders, we are hosting an openclaw demo night at the network school. if you have built something cool using the much-hyped “OPENCLAW” (application, workflow, army of agents, xyz...) REGISTER! (link in the comments) would love to showcase your project at our demo night.

pluggable context engine is the single biggest W for the ecosystem

we will be THE context layer for agentic AI

your agent isn't broken. it just never had memory to begin with.

5/conflating the two is where things go wrong silently. you assume your agent knows the user's preferences. it doesn't (that's just context scrolled out two sessions ago). it seemed like it remembered. it was just working with what was in front of it.

we need to fix the architecture, rolling window context is not agent memory 🧵