Build Agents
Multi-Agent Memory Management
Three-tier memory with hot context, cold storage, and auto-summarization. 35-45% token reduction at 87% semantic recall.
35-45% token reduction
The 4-step NEO workflow
- 1
Describe the task
Explain the outcome the agent should produce and human-in-the-loop needs.
- 2
Add context for NEO
Point NEO at your repo, tools, APIs, memory shape, and guardrails.
- 3
NEO implements & delivers
NEO wires the agent flow with tests and observability hooks.
- 4
Follow up or test it out
Replay on real scenarios and harden failure modes before production.
Ask NEO
How to run this scenario
Ship "Multi-Agent Memory Management" as a maintainable agent with tools, memory, and guardrails wired to real APIs.
Approach
What NEO focuses on
- Decompose goals into reviewable steps with clear tool boundaries
- Compose retries, observability, and human gates where risk is high
- Keep prompts and eval sets versioned next to application code
Outcomes
What you get
- Flows you can extend as requirements change
- Traces and artifacts that make failures debuggable
- Patterns that scale from one agent to multi-agent setups
Ready to try for yourself?
Open NEO in VS Code or Cursor and describe this scenario. NEO plans the work, runs experiments, and ships artifacts you can review and iterate on.