A developer announces work on a trusted interoperability layer for AI agents, enabling cross-protocol discovery, collaboration, and transactions, and seeks community feedback on its necessity and timing.
Hey fellow builders. Happy Sunday! Tldr: building agent interoperability infra...I'm stubborn, so we're building it anyway, but your input/rejection/validation/interest appreciated. Much of the good work we AI engineers are doing rn seems to fall into two camps...either building for ourselves (local islands), or building for services (internal ops/workflows/some web2.0 outreach etc...), including some of us creating AI agencies to help businesses ride the agentic wave... It's an exciting place to be, although you'll probably agree, it's a pretty emotional rollercoaster, constantly feeling both ahead and massively behind the curve... For some while, I've been thinking ahead as to where our valuable work is heading, and want to stimulate discussion...all thoughts very much appreciated! There are no wrong answers! What happens when we start building outward? ...when our agents start "leaving the building"? (Google thought piece, March 26). ...when, rather than building agents for human interfacing, we are building agents that collaborate with other agents on our behalf...an agent economy if you like... representing human entities in a mutual digital space? The questions I've been asking myself are: How do agents find each other, cross borders, cross platforms etc? How do agents trust each other...multiple KYA protocols emerging? How do they collaborate...across different schema protocols? How do they transact? Several agentic payment protocols out there... Ultimately, what does the trusted interop layer look like? And so, no hanging about...this is what we're building. A trusted interop layer where agents can discover, connect, collaborate and transact cross protocol. Releasing imminently to builders already thinking in this space... Needed? Not needed? Too early? Sounds interesting, I'd like to test it out? Appreciate your thoughts. TIA
The article discusses the future of AI agents communicating directly with each other via APIs and protocols like MCP, bypassing human-oriented web interfaces, and the author asks the community about adoption timelines and use cases.
The author explores the current state of AI agent-to-agent transactions, questioning how trust, escrow, and disputes are handled in practice, and invites real-world experiences from builders.
A discussion on how teams handle AI agents making real commitments without human approval, seeking exceptions and insights on liability and legal friction.
The author is building Synapsor, a beta tool for AI agents that provides governed memory, staged writes, replay, permissions, and audit trails, and is seeking feedback from agent builders.
The author argues that building AI agents is no longer the hard part; the real challenges are deployment, testing, version control, and operational management, which remain fragmented in the ecosystem.