babeforagents @devmarrie
AI Engineer Joined February 2022-
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Are you building agents that survive in prod? Check out the JarvisCore framework especially if agent to agent communication and memory are issues you've struggled with when building.
My hope for JarvisCore is that it shows a completely different way to build AI agents. Not as an experiment, but as an approach we've proven. We open-sourced it a few months ago and kept building. Today it launches on Product Hunt. Here's what makes it different: • No master
Five mentions in one afternoon count once. Five mentions on five different days keep it and thats how an agent determines what to keep or forget when using Athena. Join us on discord for more like these: discord.gg/YY7MWGywc
Picture a crop advisory agent that has talked to one farmer 400 times. At planting time it does not need all 400 conversations. It needs only three, her soil is acidic, she limed in March, she prefers manure. The rest is history.
In today's office hour I walked through how Athena chooses. It borrows the forgetting curve Hermann Ebbinghaus measured in 1885 and human memory. Such that memories fade with time, and coming back to them on different days makes them fade slower.
My first instinct used to be to keep more. Longer context, bigger stores. However, everything an agent keeps, it can send to a model again with the next question. What you keep is what you re-send, and what you must be able to erase.
Back again to chat about agent memory🥳. Join us on discord to never miss a session: discord.gg/jg8QxAPKZ
Join us as @devmarrie takes us through a technical deep dive of Athena memoryOS and the role it plays in agent's long term memory. Tuesday 28th Sep 11am EAT : lnkd.in/dx6XFUiN
a nice debut to founder-led distribution "right of passage" without using "hey guys" okay folks we've open-sourced an agent runtime and we think you will like it for 5 things: no MCP wiring, no master agent just pure mesh with peer-to-peer, deterministic control, zero-trust through an agent broker, and a bounded memory lifecycle.
Built for ever evolving and learning AI agents 🤖 How are developers building agent memory on #JarvisCore?@prescottdata 's Marriane takes devs through a build-along session on a garage desk use case during last week's OH!
The full session available on YouTube: youtu.be/EaICaH-kYZM?si… Join us on discord for more fun like this: discord.gg/SxTqUv4M8
A mechanic walks up to a vehicle, and before he touches it the agent tells him what this garage has already done to that car, and what got left undone.The first brief opened with the registration and the model. Accurate, and useless cause the mechanic was standing next to the car
The full session available on YouTube: lnkd.in/drAXWDWy Join us on discord for more fun like this: lnkd.in/dyRkR-x9
So I corrected it once, in one sentence. "Tell me who worked on it and what is left, not about the car". It answered "Noted. I will lead with that from now on." Every brief after that opened differently.
That is a memory design decision, not a model capability. It is also why recall has to be governed rather than simply accumulated. Everything this agent remembered stayed inside the boundary, on the machine in front of me.
Here is the part worth sitting with. It always knew about the perished radiator hoses. They were in the first brief, in the second sentence. It did not learn a fact. It learned what mattered specifically to the mechanic.
The agent learnt in real time the expectations of a mechanic at a garage store and helped him better understand the car he is fixing, for more information checkout our discord discord.gg/z69QKEnjd @prescottdevs
See you on Thursday as we tackle why your agent's perfomance might be due to what it actually remembers and not an issue with its logic😌
Join us on the 03 of September for our second build along session, as we build agents that continuously get better from scratch with @devmarrie . Link: discord.gg/jg8QxAPKZ?even…
Athena, open source: github.com/Prescott-Data/… Athena blogs: developers.prescottdata.io/blog?product=a… Getting started: athena.developers.prescottdata.io
Athena MemOs 0.1.5 is here and its open source this is our solution to how you ensure you avoid surrendering your data to third parties and save on cost while building agentic systems . Link in the comments. @prescottdevs
Claims. A knowledge graph. A JarvisCore agent. Odin The agent chooses where to investigate. Odin navigates and ranks the connected evidence. Tomorrow at 11:00 AM EAT, @lisanyambere takes us through it live on our Developer Office Hours. discord.gg/NCU8s7yKf?even…
The Enterprise is a circuit of decisions across systems, people, and processes. Security around this decision circuit determines what remains sovereign. AI agents automate these processes today but they also become a new member of the decision circuit. Hence, a new risk that threatens the sovereignty the Enterprise has cared about for decades. #Nexus is a component of the Prescott agent runtime that eliminates this risk. The community at @prescottdevs is actively shipping to ensure easy integration into Enterprise applications.
We had a bug where any API key would validate, because our validation probes went through a shared HTTP cache that keyed on the URL and ignored the Authorization header. Once one valid key passed, every key passed. Take a look at how we solved it x.com/i/article/2091…
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