happy 4th everybody!
A casual social media post from Yohei Nakajima wishing followers a happy Fourth of July. The post likely includes holiday greetings or brief commentary related to Independence Day celebrations.
Knowledge catalogue
A casual social media post from Yohei Nakajima wishing followers a happy Fourth of July. The post likely includes holiday greetings or brief commentary related to Independence Day celebrations.
MIT and Apache 2.0 are both permissive open-source licenses, but Apache 2.0 provides more explicit legal protections including patent grants and indemnification clauses, while MIT is simpler and short
spending the last week at @aidotengineer was awesome. too many great convos to cover them all, but jotted down some things that stood out: - Lots of discussion around open source models. I spoke with
hosted three side events, a lunch, and did a talk this week. pretty tired, but worth it! Heaps of fun watching last night’s USA v BIH World Cup match at @yoheinakajima’s watch party after @aiDotEngine
In 12 hours we've had 323 people sign our petition to protect local AI. Open Source must win, not because anyone else must lose. But so that we can all win. Please help me get 10,000 signatures so tha
Something about this year’s @aiDotEngineer World’s Fair just hit different. Last year was the year of “let the agents rip.” This year was the year of realizing that autonomy without structure creates
Yohei Nakajima shared a brief update on X about completing a talk and meeting interesting people afterward. The post reflects a positive experience at what was likely a speaking engagement or event. W
ORA.ai is a tool that evaluates website 'agent readiness' by analyzing how well-suited a site is for autonomous agent interaction, then generates prompts that coding agents can use to implement necess
if you joined us on Wednesday, you can find more pics here: https://lightroom.adobe.com/shares/136e7f64192a4c55968d1f8a3d5d5dc8 Last night we hosted the BabyAGI x Physical AI Happy Hour in SF with @yo
Yohei Nakajima will present ActiveGraph, an event-sourced graph runtime designed for building auditable agents, at 11:10am in room 2005 of a conference's graph track. The presentation focuses on lever
Yohei Nakajima hosted a networking event in San Francisco bringing together the BabyAGI and Physical AI communities for casual conversation and relationship-building. The event likely focused on discu
Yohei Nakajima announced a milestone of 70,000 agent transactions, expressing surprise at the rapid growth. This likely refers to autonomous AI agent activity or transactions within a system or platfo
guess who’s back, back again We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an u
This post explores the concept that an agent's log or execution history serves as the primary mechanism for decision-making and learning, suggesting that the sequential record of actions and outcomes
Yohei Nakajima posted a brief thank you message to Firecrawl for providing fast WiFi service, mentioning the location was conveniently located just across the street. The post appears to be a casual s
Yohei Nakajima shared a post about wearing a new t-shirt related to BabyAGI and ActiveGraph, likely promoting or celebrating these AI projects. BabyAGI is a simplified autonomous AI agent framework, w
FalkorDB and ActiveGraph enable querying, sharing, and scaling of agent graph projections beyond in-memory limitations, allowing developers to persist and manage complex agent architectures in a graph
This post by Yohei Nakajima acknowledges or addresses someone with the handle @aidotengineer on social media, likely engaging in a conversation or commentary about AI engineering or development. The s
We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2. Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-perform
and here’s a filterable visualization of the side events: wanted a quick way to visualize side events for @aidotengineer world fair next week https://yoheinakajima.github.io/aie-side-events/ filter by
Yohei Nakajima developed a feature for the AI Engineer World Fair that enables users to discover similar talks through an embedded search functionality, while also adding a map interface and bookmark/
updated with new events + a link to the event page wanted a quick way to visualize side events for @aidotengineer world fair next week https://yoheinakajima.github.io/aie-side-events/ filter by date/t
excited to come down to SF for @aidotengineer next week! let’s hang :) We're hosting a BabyAGI x Physical AI Happy Hour with @yoheinakajima on June 30th, 6PM in SF! If you're building across AI agents
Yohei Nakajima created an interactive visualization tool for side events at the AI Dojo Engineer World Fair, accessible via a GitHub Pages site. The tool appears to include filtering capabilities to h
focusing on a single user story in your marketing can be challenging because you feel like that one story might not resonate with all of your target customers but when done well (like this), it’s emot
Yohei Nakajima questions the legitimacy of token-saving solutions in the AI space, noting anecdotal reports from peers that some of these tools may actually increase token consumption rather than redu
A Kaggle competitor reflects on their first real competition experience, noting that while their approach may not have been the most efficient, they are gaining valuable learning from the process. The
Yohei Nakajima claims to be the top-ranked venture capitalist participant in an official Pokémon AI trading card Kaggle tournament. The post appears to reference his competitive standing in this AI-dr
We raised $8m to build self-healing software. In 2026, software moves fast. But monitoring and observability are still manual and slow. @sazabi is a next-generation observability platform for fast-mov
who wants to help eyal poke holes in this approach to run LLM inference... in browser? Looking for peer reviewers 🧪 Built an LLM inference engine in pure WebGPU/WGSL. Runs in browser and Node, on-devi
Yohei Nakajima proposes that sports organizations should make their data openly accessible through Model Context Protocol (MCP) to enable broader public creation of visualizations and data analyses. T
I cannot provide an accurate summary for this entry. The URL and source attribution appear inconsistent (title credits Yohei Nakajima but URL references a different user), and the post references prod
Yohei Nakajima discussed Activegraph at an AI House event, likely covering applications or insights related to graph-based AI systems or knowledge representation. This appears to be a social media pos
ActiveGraph: 1 month in: 📄Paper #1: The Log is the Agent 🧠3 LongMemEval Experiments 🔄 Paper #2: Regimes, self-improvement loop 🎓 http://learn.activegraph.ai 🗂️ 2 reference agents (code, research) 💾 co
currently experimenting with http://lab.activegraph.ai can activegraph be used to explore activegraph? it has some small learnings, and a full run of finding and pushing a PR into github, but still ea
Yohei Nakajima announced upcoming speaking engagements about AI topics at two events: one in Seattle at an AI House event and another in San Francisco at an AI Dot Engineer conference on day 4. The po
Introducing Claude code for 3D modeling You can now create a production-level 3D models from any agent you are using. Ready to plug into your own apps or games Made possible by @trysuzanne and @monid_
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while
open sourced activegraph on May 20: https://x.com/yoheinakajima/status/2057099245430222926 i'm excited to open source Active Graph: an event-sourced reactive graph runtime for long-running, agents 🔄🧠
been working @MageSpace_ this past year and we're growing super quickly currently looking for backend-focused ppl to join us full-time! Hiring an AI Infrastructure Engineer at @MageSpace_ - Ship daily
i showcase 'controlled' self improvement with a novel regime-to-seam approach where failures are categorized and allowed to fix targeted areas of the agent while interesting, it's more to showcase the
in arxiv paper #2, i tackle the last topic from paper #1: @activegraphai as an architectural affordance for self-improving agents 'Regimes: An Auditable, Held-Out Gated Improvement Loop Demonstrated o
less novel, but still very interesting impo is the gated approach to self-modification the agent basically forks itself, propose a patch, run through multiple tests (static/sandbox/diff), and somethin
my weekend hobby: self improvement research in arxiv paper #2, i tackle the last topic from paper #1: @activegraphai as an architectural affordance for self-improving agents 'Regimes: An Auditable, He
paper #1 for context: https://x.com/yoheinakajima/status/2057812713045377055?s=20 babyagi has ~200 citations, but 0 papers... i just published my first paper on arXiv 😆 'The Log is the Agent: Event-So
shoutouts: • why multi-agent LLM systems fail? (arXiv:2503.13657) — @mertcemri @melissapan + @istoica05 @matei_zaharia @profjoeyg @adityagp & team • DSPy (arXiv:2310.03714) — @lateinteraction + @hazyr
the paper is long (30 pages), but have your AI read it: https://arxiv.org/abs/2606.10241 here's a simple interactive tutorial on the topic that claude made: https://claude.ai/public/artifacts/038db6cf
the results are modest (esp compared to parallel & similar research GRASP: https://arxiv.org/abs/2605.29668 - recommended!) the contribution here is not the self improvement approach itself (yet), but
two fun surprises from using activegraph: - the coding agent i was using would query the trace db to debug instead of looking at the logs like they normally would (i didn't ask it to) - when long eval
thought-to-image Can you believe the image on the right was generated from brain activity? We showed a person the dog image on the left for 0.5 seconds while recording brain signals. Our model, OB1, d
Yohei Nakajima announced a talk about ActiveGraph AI scheduled for June 24th at the AI House, an AI2 incubator venue in Seattle, with an invitation for local attendees to participate. The event detail
two things ready to share from this weekend: 📖 http://learn.activegraph.ai interactive site teaching activegraph concepts blog: https://activegraph.ai/blog/introducing-learn 💻 AG coder (open source) r
We got into Y Combinator! Agnost AI (YC S26) is the infra for self-improving AI agents. We plug into conversational AI companies, find what's broken, and ship the fix as a PR. You just merge. DM if th
This post describes the automatic features of a coding agent built on ActiveGraph, highlighting that developers receive both an execution trace and a visual graph representation without additional con
This post explores the concept of using ActiveGraph with event sourcing for AI agents operating under EU regulations, suggesting a potential architecture where detailed logging and event histories ser
neuro paper finds that the hippocampus is basically an immutable event log that projects a state in graph form…. just like activegraph 🤔 if you’re into neuro and think we live in a simulation, read on
this looks cool An experimental programming language from Vercel Labs that is truly made for AI agents! Not just a new syntax. Zero is a graph-first language where agents can Read & edit program struc
even though @activegraphai is not a memory tool, it's a runtime built around memory so it can do well there cool to see a third party verify this and see that activegraph does well on privacy programs
This post describes an AI research agent built on ActiveGraph that provides complete visibility into its reasoning process through detailed graphs and traces of claims, sources, and internal agent act
dynamic DAG workflow from 2023 :) Hm, not exactly sure this new task at the end is helpful. Though, look! I added task dependencies, for tasks that need results from a specific task to execute. (Here,