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engineering · 1 min read

Agent Memory: Implementation Patterns That Work

Practical implementation patterns for short-term, long-term, episodic and semantic agent memory.

BABhogar AI TeamProduct & Engineering

Memory is what makes an agent feel intelligent and what makes a stateless system feel useful. The implementation patterns are well-understood now.

Why it matters

Common pitfalls: storing too much, retrieving wrong, never forgetting, leaking across users. Each has a fix.

How Bhogar AI approaches it

Bhogar AI ships memory primitives for short-term (per-thread), long-term (per-user), episodic (per-event) and semantic (per-concept) memory, with TTLs and cross-user isolation.

  • Per-thread short-term memory
  • Per-user long-term memory with TTL
  • Episodic memory for conversation moments
  • Semantic memory for concepts
  • Cross-user isolation by default

What you get

Agents feel coherent across sessions without leaking data across users.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.