Open engram format, agent memory architecture, and PLUR Enterprise.https://plur.ai/en-ushttps://plur.ai/blog/mem0-vs-letta-vs-zep/https://plur.ai/blog/mem0-vs-letta-vs-zep/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.Wed, 08 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/fine-tuning-vs-memory/https://plur.ai/blog/fine-tuning-vs-memory/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.Tue, 07 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/editable-auditable-agent-memory/https://plur.ai/blog/editable-auditable-agent-memory/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.Mon, 06 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/rag-vs-agent-memory/https://plur.ai/blog/rag-vs-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.Mon, 06 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/agent-forgets-between-sessions/https://plur.ai/blog/agent-forgets-between-sessions/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.Sun, 05 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/mcp-server-ai-agent-memory/https://plur.ai/blog/mcp-server-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.Sun, 05 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/context-costs/https://plur.ai/blog/context-costs/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.Sat, 04 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/are-ai-engrams-open-source-or-proprietary/https://plur.ai/blog/are-ai-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.Fri, 03 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/open-engrams-vs-model-weights/https://plur.ai/blog/open-engrams-vs-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.Thu, 02 Jul 2026 00:00:00 GMTTrishttps://plur.ai/blog/open-standard-ai-agent-memory/https://plur.ai/blog/open-standard-ai-agent-memory/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.Thu, 02 Jul 2026 00:00:00 GMTTris