Queued
Security
Security and access control for AI employees
Permission boundaries, credential handling, and the access model every deployed agent eventually needs.
Queued
Signals
Notes from building AI employees.
Practical field notes from client deployments and from using Hive inside Nairon.
Apr 30, 2026
Solving the Agent Memory problem
A practical look at Supermemory, Mem0, Zep, Letta, LangMem, company-brain tools, and the memory layer we need for Hive.
Obaid Ur-RahmaanEditorial note
How we decide what becomes a Signal
We publish when a pattern repeats across client work, Hive usage, or agent infrastructure decisions.
Soon
Apr 30, 2026
Company memory
Solving the Agent Memory problem
A practical look at Supermemory, Mem0, Zep, Letta, LangMem, company-brain tools, and the memory layer we need for Hive.
Obaid Ur-RahmaanQueued
Evaluation
Reliability and evaluation loops
How we decide whether an agent is ready to act without turning every workflow into manual review.
Queued
Queued
Tools
Integrations and interoperability
What breaks when agents need to move between Slack, CRM, documents, browser sessions, and internal systems.
Queued
Queued
Context
Data quality and grounding
The unglamorous work behind useful retrieval: freshness, sources, duplication, and stale business truth.
Queued
Queued
Operations
Workflow design for agent teams
Why the best agent deployments look more like operating systems than prompt libraries.
Queued
Queued
Finance
Cost, ROI, and runway
Where AI employee projects create leverage, where they burn time, and how to measure the difference.
Queued
Queued
Teams
Human handoffs and approvals
The practical approval patterns that keep agents fast without pretending every action should be autonomous.
Queued
Hive beta
The operating system behind the learnings.
Hive is a workspace for humans and AI employees: persistent memory, business context, security policy, tool access, and reliability loops in one place.
Book a one-month pilot