aeon ⭐

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever. github.com/aaronjmars/aeon

1/ Aeon is an open-source agent framework that runs autonomous AI agents entirely inside a user's own GitHub repository via GitHub Actions. Their B1 Token Transparency Filing was complete with no material gaps. Token live since March 2026.

you’re not bullish enough on base:0xbf8e8f0e8866a7052f948c16508644347c57aba3 > perfect 40/40 transparency score on @Blockworks > all IP consolidated under Aeon Inc > token holders protected by a unique legal structure > buybacks embedded into the model the foundations are solid, builders come build on aeon!

Aeon Inc now owns all IPs of @aeonframework ⭐ We've also adopted a new legal structure to protect token holders + commited to buybacks on aeon products 🤷‍♂️

The base:0xbf8e8f0e8866a7052f948c16508644347c57aba3 B1 Token Transparency Filing is live on @Blockworks ⭐ Score: 40/40, same as @MeteoraAG or @MetaDAOProject 🤝 Highlighting 'Aeon Inc', our new legal structure built on @BedrockFndn: an independent foundation holds a golden share on our cap table, so the company can't be sold or asset-stripped without token holders being bought out at a premium Value accrual operates two ways: - Native-aeon portion of trading fees accrues to the protocol treasury. We don't sell. - 50% of any non-trading-fee project revenue is directed to aeon buybacks Building great foundations, so thousands of startups thrives on top of aeon ⭐

Hey you, agentic master🫵 Tired of "Approve? [Y/N]" @aeonframework fixes the approval dilemma by moving approval out of the runtime loop and into the scheduling time, where the commit basically becomes the approval by encoding the following scenarios: ▶️ What can happen (the skill's code with bounded scope). ▶️ When it can happen (cron). ▶️ With what inputs (env vars). ▶️ Where output goes (channel). Once pushed, no further approval is needed. The agent fires on the schedule, does its bounded job, and reports back (eg. to your telegram bot) and it logs all the related skill-flow in your repo aeon is one of the most adopted open-source agentic frameworks (starred 500+ and 180+ forks on gh) with more than 60 teams building with it and with a growing catalog of more than 180 skills🌟 It takes a couple of minutes to set it up and get the default initial skill-set running! What are you waiting for, "aenon" 👩‍💻

@xmyttle You might find our approach interesting: aeon.fun/blog/letting-y…

AI AGENTS ARE GETTING WALLETS that sounds like a crypto headline. it is bigger than that. a chatbot can recommend. an agent can act. but an agent with a wallet can finish the job. that is the line. the video frames it through Mastercard and MoonPay, but the real point is not “AI buys stuff.” the real point is that software is starting to get spending permission. not unlimited permission. bounded permission: - spend up to $10/day - only approved merchants - ask above $1 - never start subscriptions - show receipts - log every payment that is what makes this market real. agents do not spend like humans. they do not buy one thing at checkout and disappear. they pay for tiny resources all day: one API call one dataset one proxy request one model run one verification check one compute job humans hate micro-decisions. agents are built for them. so the wallet is not a feature. it is the missing layer between “AI suggested the work” and “AI completed the work.” model tools memory policy wallet receipt everyone is still arguing about the model. the next race is who controls the wallet.

Hello @aeonframework fam! Here you have the recording of our community call #5 00:00 @0xNurstar welcomes the fifth community call 00:14 @aaronjmars joins 00:23 Nurstar — community + content recap 00:42 World Cup simulations driving @miroshark_ intelligence-engine feedback 00:57 Reddit posting + new YouTube channel + Instagram + first steps on TikTok 01:25 Goal: reach non-crypto audiences with agent simulations; football interest 01:43 Community building 02:01 @miroshark_ strategy is going consumer-focused 02:09 x402 endpoints, some partner integrations live 02:18 New consumer-friendly x402 endpoint, log in without crypto stack, run sim 02:38 Translation layer on Miroshark x402 02:54 Push hard on consumer side for 3–4 weeks (YouTube / TikTok / Instagram) 03:18 Aeon updates 03:30 Security additions around risky tools, self-evolution, new DAG executor 03:53 New Packs system, publish a pack of skills directly to Aeon 04:23 Crossed 1M cumulative GitHub stars this week 04:37 Hackernoon article covering Aaron's vision for Aeon + Miroshark 04:53 Showcasing the new Miroshark x402 endpoints at the Bankr Agent hours podcast 05:07 Weekly numbers 05:33 Aeon City — "Bring Your Own Aeon," log in with GitHub, run skills from their platform 06:11 Social-side integration — partner added Aeon skills to their platform 06:59 Next-week tease: public meetings on the endpoints + how they work 07:22 Transparency report dropping on the 23rd 07:32 new Aeon blog: how Aeon agents pay on x402 07:46 Miroshark blog articles starting soon 07:53 Closing See you on the next one 🫂

let the hunt begin set-up my @aeonframework with: - a SOUL.md based on Vitalik public writtings for the past 10 years - a STRATEGY.md with the research methods + eval system - skills running every hour that sweep ethresearch, the EIP repo, hackmd & mirror, then score every candidate against his style

@aaronjmars @VitalikButerin Everyone will get the chance to have agentic vitaliks in their fleet of agents 👀

@VitalikButerin just built your open source SOUL.md on your texts / articles / tweets to simplify this task will start running my @aeonframework w/ your SOUL to autonomously search for it 🤷‍♂️⭐ github.com/aaronjmars/sou…

There have recently been claims that AI text analysis will make online anonymity untenable. So let me cannibalize a piece of my own anonymity to do an experiment. At some point this decade, I wrote a published document of medium importance to Ethereum - I estimate ~200 to 2000 documents in Ethereum are as or more important - not under my name. Find it. (I genuinely have no idea how easy or hard this is, will be very curious what comes out)

@igoryuzo Thanks a lot ser 🫂

1.2M github ⭐'s secured by @aeonframework 👏

@Charon_AI Massive!

$CHARON skill pack is now live on @aeonframework. it ships two skills: - `charon-setup` installs and verifies enforcement - `charon-policy` lets users manage policy through natural language install the pack, define your policy or keep the default, and keep using AEON normally. PASS → continue PAUSE → ask for approval DENY → stop before launch → #community-skill-packs" target="_blank" rel="nofollow noopener">github.com/aaronjmars/aeo… thanks @aaronjmars for merging 🫡

aeon secured +1.2M stars ⭐ repos on GitHub - with just one skill, vuln-scanner. We now highlight this (first) use-case on the website, with the detailed list.

How aeon is built ⭐ Three input layers sit across the top - the operator config you set, the identity and memory the agent reads, and the channels and MCP servers it talks through. They feed a single left-to-right runtime spine. The spine drops into the model gateway, a fleet it can spawn, and a loop that heals it. Configure once; it runs the rest unattended. Added a new section on the @aeonframework website that showcase the framework architecture 👇

gm agentic builders, let start the week on the right foot! Here you have the latest @aeonframework skill map⭐️

@TheSpartanLabs Great read here team! please check your DMs 😊

@AbdelStark @OpenAIDevs @borvibe @MolliePayments @romainhuet @ylecun Congrats Abdel, let's cook something together soon 👀

I am stocked to announce that I won the @OpenAIDevs Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to @borvibe and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.