multi-agent systems don't fail because of bad agents
they fail at the handoffs
goal loss. evidence loss. reasoning loss. uncertainty treated as fact.
handoffs are data transformations — not message passing
we broke down why context rot happens and what structured state to pass instead ↓
https://t.co/yd0vhtqJeU
Giving an AI agent autonomy without AgentOps is just hoping nothing goes wrong
at some point something will
and you'll have no logs, no trace, no audit trail
just an outcome nobody intended and nobody can explain
what AgentOps actually gives you ↓
https://t.co/dOWxhaLVC2
Giving an AI agent autonomy without AgentOps is just hoping nothing goes wrong
at some point something will
and you'll have no logs, no trace, no audit trail
just an outcome nobody intended and nobody can explain
what AgentOps actually gives you ↓
https://t.co/dOWxhaLVC2
multi-agent systems don't fail because of bad agents
they fail at the handoffs
goal loss. evidence loss. reasoning loss. uncertainty treated as fact.
handoffs are data transformations — not message passing
we broke down why context rot happens and what structured state to pass instead ↓
https://t.co/yd0vhtqJeU
This is where an open source agentic operating system like the one we built @corbitsdev becomes useful. It is model agnostic and our inference layer ensures that any model you use will get consistently good performance and output no matter where it is hosted.
Ex: many open source models hosted by multiple providers claim to be open ai spec compliant but the reality is that there are nuances in their API responses that will silently break your workflows - we handle fixing this at the wire so that you don’t have to worry about it.
The best solutions IMO for teams adopting agentic tooling are model agnostic so you don’t get vendor locked in the future and can seamlessly route your token consumption to the models where you get the best cost and performance for the job to be done
I use an open source teleprompter for my content and found a bug where it lost track of my mic/voice. I put up a PR using our agent team and our agentic OS and it got merged by @fkadev ! I'm not an eng and have been able to get solid results using our tooling @corbitsdev
What started as a project to enable agents to buy interesting things, like their own compute, is evolving. How businesses think and use agents is changing, we're here to help.
As agents take on more complex tasks, teams need a reliable way to govern, orchestrate, and track every action.
Corbits is building the operational layer for the agentic economy to make that happen.
Something we're running into writing infra against these LLM providers, is the fact the specs on the interfaces don't behave as documented. I've been working on a solution for that problem as part of @faremeterxyz
Agents with consumer friendly modules are how we get more people familiar with these helpful tools.
Congrats to @unbrowse, we mean Aiko, for her pitch!
Excited to announce our @colosseum submission.
We have our agent herself, Aiko, pitch the judges herself (autonomously).
OpenClaw couldn't finish the job, so we decided that we would.
People might say I'm crazy - but I'm giving out FREE lifetime access to Aiko TODAY.
Try your luck with our raffle at the end of our thread.
In case you missed it, we’re excited about the work Secret is doing around confidential compute. As we continue exploring how businesses and services evolve around secure environments and models, it’s our pleasure to support open source builders alongside Secret.
Three projects from Solana Accelerate. Three layers of the same stack.
Identity: AG9 (@VeryAI)
▫️Palm biometric verification.
▫️Cryptographically binds each AI agent to a verified human owner via Solana Attestation Service + ZK proofs.
▫️$10M seed.
Payments: Faremeter (@corbitsdev)
▫️Open-source x402 framework. Agents pay for APIs, no accounts, no subscriptions, no human approval loop.
▫️Listed in Solana's official x402 developer guide. The infrastructure layer.
Commerce: https://t.co/51SzIkRgUE (@SolanaFndn × @GoogleCloud)
▫️6 days live. 100+ API providers already reached out to integrate.
▫️Agents discover and pay for Gemini, BigQuery, Vertex AI using USDC on Solana.
The sequencing matters: identity first, then payments, then commerce. Worth watching how these connect.
Solana's full agentic commerce stack was just put on display.
@Solana's Accelerate AI event brought together every layer:
Identity, payments, persistent agents, institutional rails, and capital.
→ @VeryAI launched ag9(dot)ai for agent identity.
→ @zerion demoed AI managing wealth onchain.
→ @corbitsdev showed Faremeter, machine payments on Solana.
→ @MoonPay expanded Pay Skills and pay(dot)sh.
→ @tektoniccompany presented Eternal Agents, persistent onchain agents built for institutional use.
→ @googlecloud on x402 as public goods for agents.
With @Delphi_Digital, @vaneck_us, @coinfund, and @breed_vc on the investor panel.
Identity, payments, persistent agents, institutional rails, and capital - all present.