Tagged “agent memory”

• Best memory tools for Claude Code: choose the missing job, not another memory layer

  Compare native Claude Code memory and six tools by the job you need, sharing boundaries and documented limits.

• Why coding agent memory files go stale - and what teams should do instead

  Memory files turn dangerous when old tasks, proposals, and decisions still look current. Scope, owners, status, and replacement links stop the drift.

• Context engineering for coding agents: what belongs in the prompt, files, and team memory

  Coding agents need different context at different times. A practical map for prompts, repository files, task handoffs, live tools, and shared team decisions.

• AI coding agent memory: why agents forget, and the fix

  Why AI coding agents forget between sessions, the five memory layers that fix it (rules files, auto memory, handoffs, MCP, decisions), and how to choose.

• Claude Code keeps forgetting context? What to save where

  Resume, CLAUDE.md, auto memory, handoffs, plugins, or MCP? How each Claude Code memory option works, what it can't do, and where team decisions belong.

• Best MCP Memory Servers for AI Coding Agents (2026)

  Reference Memory, Basic Memory, Mem0 and Graphiti compared as MCP memory servers for Claude Code and Cursor teams, and when you need decisions, not memory.

• CLAUDE.md vs agent memory: what each should store

  CLAUDE.md, auto memory, task handoffs, and shared team decisions solve different context problems. Use this guide to decide what belongs where.

• Cursor keeps losing context mid-project. How to stop re-explaining your codebase

  If Cursor loses context after a long session or project switch, separate working context, stable rules, and team decisions so the next agent can continue.

• Why Claude Code forgets architecture decisions - and how teams stop re-explaining them

  Claude Code can understand a codebase and still lose the reasoning behind architecture decisions. What to save, where, and how to keep agents aligned.