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Memory

15 essays tagged with Memory.

October 6, 2026·4 min read·Expert

Gemini 4 Argon and Private Memory: Two Different Trust Questions

A research assessment of Gemini 4 Argon's restricted rollout and Google's private server-side memory design, separating capability, confidentiality, and memory correctness.

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October 6, 2026·5 min read·Intermediate

Mistral Vibe: Editable Memory and the Difference Between an App and a Snapshot

A research assessment of Mistral's September Vibe updates: Agentic Knowledge Base, spreadsheets, Mini App Canvas, migration, and artifact verification.

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October 6, 2026·5 min read·Expert

Grok 4.7 and Team Bots: Shared Expertise Needs Explicit Authority

A research assessment of Grok 4.7 and Team Bots: model–harness specialization, shared credentials, private memory, and evidence for team productivity.

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September 6, 2026·9 min read·Expert

From Feature Stores to Agent Memory: What Production ML Teaches Agent Systems

Production ML lessons for agent memory: availability-time correctness, historical replay, versioned materialization, promotion, correction, and deletion across derived stores.

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September 1, 2026·8 min read·Intermediate

Agent Memory Needs a Right to Correct and Forget

Persistent agents need memory provenance, promotion review, expiry, correction, deletion propagation, and visible reasons for every recalled fact.

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August 12, 2026·16 min read·Expert

Persistent Memory Poisoning: The Attack That Outlives the Session

A production security architecture for attributable, revalidated, authority-bounded, traceable, and selectively reversible agent memory.

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July 31, 2026·13 min read·Expert

Agent Memory Should Be Compiled at Recall, Not Replayed From Storage

What MemHarness teaches us about reconstruction, negative transfer, source state, and compiling production agent memory against current evidence, policy, and authority.

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July 24, 2026·9 min read·Expert

Agent Memory Is a Systems Workload: What SelfMem Changes—and What It Does Not

SelfMem improves long-horizon recall by letting an agent optimize its memory strategy. New systems and security research shows the production contract must also cover cost, freshness, provenance, and poisoning.

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June 27, 2026·6 min read·Intermediate

Give Claude Code, Cursor, and Codex Persistent, Auditable Memory

Coding agents are brilliant and amnesiac. SecondBrain's open-source Memory API gives Claude Code, Cursor, Codex, and ChatGPT shared, local-first memory over HTTP and MCP — where every answer carries a citation back to the source chunk.

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June 26, 2026·8 min read·Intermediate

SecondBrain: A Local-First Agent Operating System You Can Run, Inspect, and Trust

SecondBrain is an open-source, local-first agent OS: cognition, memory, governed tools, durable sessions, workflows, and bounded self-improvement in one inspectable runtime you run on your own machine. Here is how it works and how to run it.

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June 2, 2026·31 min read·Intermediate

AI Agent Memory Is Broken: Designing Multi-Layer Memory for Production AI Agents

A production guide to AI agent memory architecture: designing long-term memory for AI agents across working, episodic, semantic, procedural, and organizational layers. Why RAG is not memory, why vector databases are not memory, and how governed, situation-aware memory prevents memory poisoning in enterprise AI agents.

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May 20, 2026·17 min read·Intermediate

Antahkarana Stack: A Cognitive Layer for Local-First Agents

A builder-facing explanation of Antahkarana as an engineering layer inspired by the inner faculties of Manas, Buddhi, Chitta, and Ahamkara.

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May 14, 2026·6 min read·Intermediate

The Identity Layer: Agents Need Two Identities, Not One

Why governed agent runs need entity identity, delegated user identity, and workload identity in the same RunContext.

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April 25, 2026·6 min read·Intermediate

Promotion-Aware Memory: Capture, Review, Promote, Recall in Code

A build-along for agent memory: capture, review, promote, recall, contradiction checks, and governed memory writes.

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April 18, 2026·8 min read·Intermediate

Context Graphs: Decision Lineage as a System of Record

How hash-chained DecisionRecords turn execution-time context into a queryable lineage graph for why an agent acted.

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