Agentic systems require more than LLMs and prompts. They need MCP tooling, RAG and memory infrastructure, threat modeling, audit trails, integration patterns, evaluation loops, and evaluation benchmarks and datasets. We focus on the infrastructure and engineering discipline that makes agent systems consistent and reliable.
AI Agents & Infrastructure
Custom Agent Development
We design and implement agents aligned to your use case, focusing on system behavior, constraints, and production reliability.
- Multi-agent systems design and implementation
- Memory and RAG/context design
- Evaluation, benchmarks, and test suites
- Guardrails, security and reliability engineering
Memory Systems
We build memory and context systems that support continuity, retrieval, and long-term usefulness without sacrificing observability or control.
- Memory architectures (short term, long term, shared)
- Retrieval and storage design (vector and other)
- Context graphs and sources of truth
- Policy controls and workflows
Agentic Payments
We build agent -oriented flows and supporting infrastructure designed around safe execution, verification, and operational visibility.
- Payment action models and schemas, x402 compatible implementations
- Human in the loop approvals, workflows
- Risk controls, limits, policy based safeguards
- Audit trails and operational visibility
Agent Tooling & MCP Integrations
We integrate agents with tools and systems using clean interfaces, strong safety patterns, and reliable runtime behavior.
- MCP server and agent skill design and implementation
- Safe tool execution patterns and policy guardrails
- Authentication and secrets handling
- Test harnesses for tools, simulators/mocks
FAQ
Who is this service for?
Built for teams exploring the use of AI agents to automate workflows, customers who are moving beyond prototypes to production agent systems, including organizations building agents and agent infrastructure that needs reliability, evaluation, and management controls and visibility.
How long are engagements typically?
Engagements typically range from one month to multi year, starting with a minimum reliable system and expanding as evaluation, tooling, and deployment maturity grows.
What's the benefit of working with moonsong instead of hiring internally?
Working with Moonsong gives you senior protocol level capacity immediately, without the time and risk of hiring for specialized roles. We can own defined milestones end to end, integrate with your repo and release process, and ship production grade work with security first discipline and clear progress visibility. This is most valuable when you have roadmap urgency, high stakes releases, or gaps in deep infrastructure expertise that are hard to hire for quickly.