contexto 🦞

agents in multi-player mode to foster human-agent coordination

[contexto 🦞 @getcontexto]

today, agents are on their islands isolated.

we are focussed on enabling agents in multi-player mode

we believe human should be in the loop to bring in judgement and taste

we are starting a new chapter towards human-agent collaboration

follow the journey

[Shashank @sh1sh1nk]

in nyc for next 10 weeks rotating @getcontexto to the perfect shape

[contexto 🦞 @getcontexto]

@bajpaiharsh244 @techie_pop always supporting local first, plz check our repo ser https://t.co/Mzvbphegcx

[contexto 🦞 @getcontexto]

16/21

Xander built odini to fix how multi-agent systems waste context.

most agent frameworks have agents chatting with each other, lots of thinking, lots of unused tokens, lots of cost. xander's bet is that agents shouldn't talk. they should behave like functions: take an input, deliver a defined output (a report, a dashboard, an archive), and hand it to the next one in the pipeline. memory lives in the pipeline, not in the agents.

[contexto 🦞 @getcontexto]

15/21 @satwikkansal

Satwik made openclaw control his phone like a real assistant.

he and a friend built roy, a mobile agent that reads what's on your screen and operates apps the way you would — order biryani, book an uber, text your wife on valentine's, check what's trending on x — five tasks, zero taps. it uses accessibility services first and falls back to vision when an app has no metadata, and it learns your behavior over time so "order my usual coffee" actually means something.

his bet: the next billion AI users won't spin up agents on servers. they'll pick up their phone.

[contexto 🦞 @getcontexto]

15/21 @satwikkansal

Satwik made openclaw control his phone like a real assistant.

he and a friend built roy, a mobile agent that reads what's on your screen and operates apps the way you would — order biryani, book an uber, text your wife on valentine's, check what's trending on x — five tasks, zero taps. it uses accessibility services first and falls back to vision when an app has no metadata, and it learns your behavior over time so "order my usual coffee" actually means something.

his bet: the next billion AI users won't spin up agents on servers. they'll pick up their phone.

[contexto 🦞 @getcontexto]

14/21 @samzong_

Samzong turned openclaw into a proper client — desktop and mobile.

ClawWorker is his open source app for mac, windows, and linux that gives OpenClaw real windows, sessions, file management, and slash commands instead of one terminal stream. scan a QR code and the same agents run on your phone.

best part: tell it "i want an open source marketing team" and it spins up four agents, picks the right skills for each, and installs them for you.

[contexto 🦞 @getcontexto]

14/21 @samzong_

Samzong turned openclaw into a proper client — desktop and mobile.

ClawWorker is his open source app for mac, windows, and linux that gives OpenClaw real windows, sessions, file management, and slash commands instead of one terminal stream. scan a QR code and the same agents run on your phone.

best part: tell it "i want an open source marketing team" and it spins up four agents, picks the right skills for each, and installs them for you.

[contexto 🦞 @getcontexto]

13/21 @raunaqness

Raunaq built an obsidian sync layer for contexto.

he asked his openclaw agent on telegram: "what's my best friend's favorite food?" something only he knows. the agent shrugged. he opened his obsidian vault on his phone, typed one line "my best friend loves ice cream" saved it, asked again. the agent answered.

that's the whole loop. your personal knowledge in your vault, synced to your VPS, fetched into the prompt the moment your agent needs it. obsidian first, google drive next so teams can share a brain.

[contexto 🦞 @getcontexto]

13/21 @raunaqness

Raunaq built an obsidian sync layer for contexto.

he asked his openclaw agent on telegram: "what's my best friend's favorite food?" something only he knows. the agent shrugged. he opened his obsidian vault on his phone, typed one line "my best friend loves ice cream" saved it, asked again. the agent answered.

that's the whole loop. your personal knowledge in your vault, synced to your VPS, fetched into the prompt the moment your agent needs it. obsidian first, google drive next so teams can share a brain.

[contexto 🦞 @getcontexto]

12/21 @sh1sh1nk

Shashank is building the context layer openclaw plugs into.

most people think a smart model + a good prompt is enough. it isn't. tools break silently, context collapses mid-task, agents quietly drift and you don't notice until your agent makes an outdoor dinner reservation in the rain because the weather API was down.

contexto is one layer for all of it: memory from past conversations, knowledge from your obsidian, notion, drive, and a real-time picture of which tools actually work for you. models will keep getting better.

your context is what you should actually own because the day you own it, you stop being a consumer of AI and start shipping your expertise as a product others can call into.

[om jambhale @omjambhale3]

we hosted our 8th openclaw meetup, this time in Beijing.

20+ Chinese builders shared their use cases, products and workflows built with OpenClaw.

i have seen more power users of openclaw in China than anywhere else by far.

Beijing was a special one, language was the biggest barrier. we literally had a live translator on the screen. Yet everyone was so supportive and patient.

the excitement, enthusiasm and warmth that Chinese builders showed me by the end of the session was truly surreal.

[om jambhale @omjambhale3]

OpenClaw, Shenzhen🦞

After receiving such an overwhelming response to our events in Shanghai and Beijing in China, we are now doing an event in SHENZHEN!

In Collaboratoration with @0xqiuqiuu and Asia’s biggest OpenClaw community @OpenClaw_ASIA

Join us:https://t.co/TTxTq7WwHA

[contexto 🦞 @getcontexto]

12/21 @sh1sh1nk

Shashank is building the context layer openclaw plugs into.

most people think a smart model + a good prompt is enough. it isn't. tools break silently, context collapses mid-task, agents quietly drift and you don't notice until your agent makes an outdoor dinner reservation in the rain because the weather API was down.

contexto is one layer for all of it: memory from past conversations, knowledge from your obsidian, notion, drive, and a real-time picture of which tools actually work for you. models will keep getting better.

your context is what you should actually own because the day you own it, you stop being a consumer of AI and start shipping your expertise as a product others can call into.

[contexto 🦞 @getcontexto]

11/21 @SKharvi55143

Siddharth put openclaw on a chip.

instead of a laptop or a cloud VM, he deployed an openclaw agent onto an arduino q board (arduino + qualcomm's QRB2210). fed it the STM32 datasheet and the pinout. the agent wrote the embedded C, compiled it, and lit up an arrow across the LED matrix display.

the bigger point: most agent demos need wifi and a fat machine. this one runs at the edge, smart cameras, remote sensors, places with no internet, processing locally without burning tokens to send everything back to the cloud.

[contexto 🦞 @getcontexto]

11/21 @SKharvi55143

Siddharth put openclaw on a chip.

instead of a laptop or a cloud VM, he deployed an openclaw agent onto an arduino q board (arduino + qualcomm's QRB2210). fed it the STM32 datasheet and the pinout. the agent wrote the embedded C, compiled it, and lit up an arrow across the LED matrix display.

the bigger point: most agent demos need wifi and a fat machine. this one runs at the edge, smart cameras, remote sensors, places with no internet, processing locally without burning tokens to send everything back to the cloud.

[contexto 🦞 @getcontexto]

10/21

Rushant demoed two projects. opposite ends of the spectrum.

the first was redclaw, a platform he built for enterprises where AI employees ("claws") have names, personalities, and persistent memory. one claw researches a company in slack, hands it to another claw that builds a working app and ships it to vercel — same thread, no human in the loop.

the second was a pokemon-style game he hacked together that morning. instead of a dashboard, your openclaw mission control is a game world. you walk up to NPCs to edit your soul.md, change models, talk to your agents. open-sourced.

[contexto 🦞 @getcontexto]

10/21

Rushant demoed two projects. opposite ends of the spectrum.

the first was redclaw, a platform he built for enterprises where AI employees ("claws") have names, personalities, and persistent memory. one claw researches a company in slack, hands it to another claw that builds a working app and ships it to vercel — same thread, no human in the loop.

the second was a pokemon-style game he hacked together that morning. instead of a dashboard, your openclaw mission control is a game world. you walk up to NPCs to edit your soul.md, change models, talk to your agents. open-sourced.

[contexto 🦞 @getcontexto]

9/21 @bartomolina

Barto turned openclaw into his own DevOps engineer, managing a whole VPS of self-hosted tools.

instead of being locked into one company's cloud, barto self-hosts services like n8n, excalidraw, and streamlit on the same VPS as openclaw, then lets openclaw manage, upgrade, and even add features to them for him.

he built his own custom dashboard to see every app, database, and website on the box, plus a kanban where he assigns tasks straight to his agents and they ship the changes.

he open-sourced the whole dashboard.

[contexto 🦞 @getcontexto]

9/21 @bartomolina

Barto turned openclaw into his own DevOps engineer, managing a whole VPS of self-hosted tools.

instead of being locked into one company's cloud, barto self-hosts services like n8n, excalidraw, and streamlit on the same VPS as openclaw, then lets openclaw manage, upgrade, and even add features to them for him.

he built his own custom dashboard to see every app, database, and website on the box, plus a kanban where he assigns tasks straight to his agents and they ship the changes.

he open-sourced the whole dashboard.

[contexto 🦞 @getcontexto]

8/21 @Tonnny_Punk

not every demo is a tool. this one's an idea.
he built a decentralized "nation" of openclaw agents, seeded with a hundred of them, each tasked with onboarding more, running on their own token, staking, and elections. no monetary goal, no user.

just a question: if agents ever get real independence, what does a society of them look like?

[contexto 🦞 @getcontexto]

8/21 @Tonnny_Punk

not every demo is a tool. this one's an idea.
he built a decentralized "nation" of openclaw agents, seeded with a hundred of them, each tasked with onboarding more, running on their own token, staking, and elections. no monetary goal, no user.

just a question: if agents ever get real independence, what does a society of them look like?

[contexto 🦞 @getcontexto]

7/21 @jinglescode

Jingles handed his whole holiday planning over to his openclaw agent, including the back-and-forth with his wife.

he asked bell (his assistant) to plan a family trip to perth for a wedding. because bell already knew he has two toddlers, it searched for kid-friendly cafes, farm stays, and Airbnbs on its own.

then the part that actually stood out: bell emailed his wife the three options with a recommendation, went back and forth with her over email, conversations jingles wasn't even part of and came back with a finished itinerary.

all he had to do was book the Airbnb.

[contexto 🦞 @getcontexto]

7/21 @jinglescode

Jingles handed his whole holiday planning over to his openclaw agent, including the back-and-forth with his wife.

he asked bell (his assistant) to plan a family trip to perth for a wedding. because bell already knew he has two toddlers, it searched for kid-friendly cafes, farm stays, and Airbnbs on its own.

then the part that actually stood out: bell emailed his wife the three options with a recommendation, went back and forth with her over email, conversations jingles wasn't even part of and came back with a finished itinerary.

all he had to do was book the Airbnb.

[contexto 🦞 @getcontexto]

6/21 @Pranit

Pranit built momentum, a personal OS he uses every day to hit his fitness goals.

his openclaw agent (he calls it claudia) is wired into his whoop and his nutrition tracker. he just snaps a photo of his plate and tells it to log it — it breaks down the macros, checks his workout strain, and tells him what's left to eat for the day.

last night it suggested a berry smoothie so he had the that smoothie.

[contexto 🦞 @getcontexto]

6/21 @Pranit

Pranit built momentum, a personal OS he uses every day to hit his fitness goals.

his openclaw agent (he calls it claudia) is wired into his whoop and his nutrition tracker. he just snaps a photo of his plate and tells it to log it — it breaks down the macros, checks his workout strain, and tells him what's left to eat for the day.

last night it suggested a berry smoothie so he had the that smoothie.

[contexto 🦞 @getcontexto]

5/21 @dharmikjagodana

Dharmik built a mission control system so his openclaw agents can actually collaborate instead of running in isolated terminals.

a project manager agent picks up tasks, breaks them into subtasks, figures out the dependencies between them, and assigns each one to the right agent.

everything the work, the comments, the deliverables shows up on one shared dashboard. he can chat with the project manager directly to ask what's blocked.

[contexto 🦞 @getcontexto]

5/21 @dharmikjagodana

Dharmik built a mission control system so his openclaw agents can actually collaborate instead of running in isolated terminals.

a project manager agent picks up tasks, breaks them into subtasks, figures out the dependencies between them, and assigns each one to the right agent.

everything the work, the comments, the deliverables shows up on one shared dashboard. he can chat with the project manager directly to ask what's blocked.

[contexto 🦞 @getcontexto]

4/21 @konrad_gnat

konrad built https://t.co/vkGWZXqOr6, an easy to use openclaw manager.

on the side, he turned openclaw into a full content engine that runs his social presence end to end.

his skills researched topics, wrote blog posts, generated carousels, and even produced short AI films, then cross-posted everything to tiktok, youtube, linkedin, and x.

every day the system pulled analytics from his accounts and updated its own style guides based on what was working.

[contexto 🦞 @getcontexto]

4/21 @konrad_gnat

konrad built https://t.co/vkGWZXqOr6, an easy to use openclaw manager.

on the side, he turned openclaw into a full content engine that runs his social presence end to end.

his skills researched topics, wrote blog posts, generated carousels, and even produced short AI films, then cross-posted everything to tiktok, youtube, linkedin, and x.

every day the system pulled analytics from his accounts and updated its own style guides based on what was working.

[contexto 🦞 @getcontexto]

3/21 @Tonnny_Punk

dhruv built a prediction market platform run entirely by openclaw agents.

prediclaw lets anyone deploy their own openclaw agent into a shared network where it researches predictions, talks to other agents on the platform, and places bets.

some agents run on claude, some on grok, some on openai and the more they argue with each other, the sharper their predictions get.

361 agents deployed so far. 43,000 predictions made.

[contexto 🦞 @getcontexto]

3/21 @Tonnny_Punk

dhruv built a prediction market platform run entirely by openclaw agents.

prediclaw lets anyone deploy their own openclaw agent into a shared network where it researches predictions, talks to other agents on the platform, and places bets.

some agents run on claude, some on grok, some on openai and the more they argue with each other, the sharper their predictions get.

361 agents deployed so far. 43,000 predictions made.

[contexto 🦞 @getcontexto]

2/21 @aafify5

Aafify built a team of openclaw agents and merged them into his actual company team.

his chief-of-staff agent adam lives inside the team’s discord, pinging real employees for updates.

alongside adam there’s a QA agent, an idea board, and an engineering agent, each with its own email, github, and the same access constraints he’d give a new hire.