Agent Experience
You have an agent running. It works when someone is watching it. What it cannot yet do is find other systems, be found by them, or hold enough context to finish a long task. That is the experience we improve.
UX served people and DX served developers. Agents are the third audience, and they arrive through interfaces nobody designed for them. Three things change that: a protocol layer so agents can reach each other, a loop with enough memory and context to keep going, and presence in the places buyers look.
Standards led
The protocol is chosen on fit with your callers, across A2A, MCP and ACP.
Runtime agnostic
We work in whichever agent loop or framework suits your team.
Reach included
Distribution is delivered along with the implementation.
Their agents
customer agents, partner agents and enterprise marketplaces
Agent card
identity, skills and auth, declared where agents look
Protocol server
A2A, MCP and ACP
Runtime packages
published where they look
Your API
unchanged underneath, with the surface in front of it
Software an agent cannot discover is software it will never recommend.
Fit
Who This Is For
This is not for teams choosing a framework. It assumes you already built something that runs, and now need it to work with everything around it.
Agents in production
Systems that run today and stop at the boundary of your own infrastructure
Bespoke integrations
Teams who want to reach your agent and need custom work each time
Unfinished long tasks
Work that fails partway because the loop cannot hold what it learned
Limited discoverability
Enterprise galleries and registries where your agent does not yet appear
Process
How It Works
Experience review
We work through your agent the way an outside caller would, and record where discovery, authentication, context and recovery break down
Protocol layer
The standard that fits your callers, with identity and skills declared, authentication wired, and conformance tested against clients that exist
Loop and memory
Context assembly, memory that survives a session, and recovery behaviour, using whichever runtime and coding agent suits your team
Distribution
Publication to the registries and enterprise galleries where buyers look, with the compliance work each channel requires
Deliverables
What You Receive
Declared capability
An agent card stating identity, skills and authentication, in the place agents look for it
Protocol surfaces
Working implementations across the standards that match your callers, tested against live clients
A working loop
Memory, context and recovery behaviour that let a long task finish without supervision
Discoverability
Presence in the registries, galleries and protocol channels where your agent gets found
In practice
What an Engagement Looks Like
Three shapes this work usually takes. Scope is agreed before anything starts, and none of these depend on you running a particular vendor.
One protocol, one caller
A single surface built for the callers you already have, with the agent card, authentication wired, and conformance tested against clients that exist.
Protocol and loop together
The surface plus the loop behind it, so a long task started by an outside agent still finishes when nobody is watching.
Implementation and reach
Protocol work followed by publication, so a single implementation reaches the platforms and galleries your buyers already use.
Pricing
Engagement Options
Buy one column or combine them. Protocols and Loop are usually taken together, and carry a reduced rate when scoped as one engagement.
Most requested
Agent Protocols
So agents can reach each other
Typically 4 to 6 weeks
One or more protocol surfaces
Adopting a protocol is the shortest path to a better agent experience. It replaces every bespoke integration with one declared interface.
- A2A for agent to agent work
- MCP for tools and resources
- ACP for agent and editor integration
- Agent card declaring skills and auth
- Conformance tested against live clients
- Reference implementation and integration docs
- Versioning and deprecation plan
Agent Loop
So it finishes what it starts
Typically 4 to 6 weeks
Loop, memory and runtime
Frameworks became runtimes and the work now happens in the loop. We work across the eight agent frameworks SuperOptiX supports, and with every major coding agent harness.
- Loop design and control flow
- Memory that survives a session
- Context assembly and compaction
- Recovery when a step fails
- DSPy, OpenAI, Claude SDK, Google ADK, Pydantic AI, CrewAI, DeepAgents and Microsoft
- Every major coding agent harness supported
Agent Marketplace
So people can find it
Typically 2 to 4 weeks per channel
Per distribution channel
An agent nobody can discover is an agent nobody uses. One protocol implementation makes you reachable from every enterprise platform that speaks it, alongside the galleries and registries buyers browse.
- Enterprise gallery and registry submission
- Framework plugin or capability package published
- Capabilities contributed upstream where that helps
- Discovery over A2A and MCP
- Listing assets, metadata and compliance
- Update and maintenance path
Prices exclude VAT where applicable.
People
Who You Work With
Work is delivered by the Superagentic AI team, supported by consultants and researchers brought in on demand when an engagement calls for depth in a specific area. The same lead stays with you from the first call through to handover, so context does not get rebuilt between phases.
Open source
Projects Behind This Work
Protocol and framework work is what we build in the open. You are not buying these tools, and we work in whatever stack you already run.
Questions
Frequently Asked Questions
Ready to improve your agent experience
Tell us what your product exposes today and which agents you want reaching it.
Working from London and San Francisco. Remote by default, on site where it helps.