PLUR Blog

Open memory, written down.

Architecture, positioning, and enterprise engineering behind the open engram format — published as we build it.

Mem0 vs Letta vs Zep: Which Should You Use for Agent Memory?

Mem0, Letta, and Zep solve different problems: drop-in memory API, self-managing agent OS, and temporal knowledge graph. A head-to-head comparison across 12 properties, and how to choose by use case rather than hype.

2026-07-08 · Tris

Is Fine-Tuning or Memory Better for Teaching an AI New Facts?

Fine-tuning bakes facts into weights you can't inspect, delete, or port — and every update pays the parallel learning tax. For teaching an AI facts that change, an external memory layer wins on cost, auditability, and portability.

2026-07-07 · Tris

How Do I Make My AI Agent's Memory Editable and Auditable?

Most agent memory is a black box: vectors, state blocks, or graph nodes you can't read, correct, or provably erase. What editable, auditable memory looks like — five properties, a tool comparison, and the GDPR angle.

2026-07-06 · Tris

What's the Difference Between RAG and Agent Memory?

RAG retrieves from a fixed document corpus at query time; agent memory stores what the agent learned from interactions and updates it over time. Read-only retrieval vs read-write learning — and why many agents need both.

2026-07-06 · Tris

My AI Agent Forgets Everything Between Sessions — How Do I Fix That?

Every session starts from zero because LLMs are stateless by design. The fix is a memory layer: what it does, the three tiers of options — built-in memory, open-source engines, open-format MCP — and how to choose.

2026-07-05 · Tris

Is There an MCP Server for AI Agent Memory?

Yes — several MCP servers exist for agent memory: the official knowledge-graph reference server, PLUR, Zep, Mem0's OpenMemory, and community projects. MCP standardizes the transport; the memory format is the differentiator.

2026-07-05 · Tris

How PLUR Cut Our Agent Context Costs by 90%

We were paying $0.01 per turn stuffing system prompts with facts the agent needed. The fix wasn't a better model — it was not sending facts the agent didn't need. Haiku + PLUR now outperforms Opus without memory at 1/10th the cost.

2026-07-04 · Tris

Are AI Agent Engrams Open Source or Proprietary?

The major agent-memory engines are all Apache-2.0 or MIT — but 'open source' and 'open format' are not the same thing. The field splits into three tiers, and the boundary that matters is whether you can read, edit, and export your own memories.

2026-07-03 · Tris

Should AI Memory Be Stored as Open Engrams or Baked Into Model Weights?

AI agent memory should be stored as open, external engrams — not baked into model weights — whenever it must be inspectable, correctable, deletable, or portable across tools.

2026-07-02 · Tris

Is There an Open Standard for AI Agent Memory Engrams?

No single RFC-level standard exists for AI agent memory engrams as of mid-2026 — but MCP and the open engram format are converging on one. Here's the current landscape.

2026-07-02 · Tris