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7 posts tagged with this.

  1. Jun 2026 Agents · · 5 min Context window economics — when memory beats reloading docs Every CLI agent burns tokens re-reading the same files turn after turn. Put a number on the waste, work out the breakeven against a semantic-memory layer in RedDB, and show the SQL plus hook that flips the math for projects past a few thousand lines.
  2. May 2026 Agents · · 4 min Multi-agent shared memory — five agents, one knowledge graph When parallel sub-agents work on related slices of the same problem, they need a shared scratchpad with conflict resolution. A snapshot-read, first-committer-wins write pattern over RedDB gives each agent isolation while still surfacing contradictions as alerts on the orchestrator side.
  3. Agents · · 4 min An MCP server for RedDB — one database, every agent CLI The Model Context Protocol lets every modern agent CLI — Claude Code, Codex, Cursor, Gemini CLI — share the same toolbelt. Wrap RedDB once and you give all of them agent memory, document storage, and semantic search through a single endpoint. Manifest, server, wiring.
  4. Agents · · 5 min Building a "remember this" skill end-to-end A 30-minute walkthrough — turn a Claude Code skill into a durable note-taker. The skill captures the current conversation slice, embeds it, writes it to RedDB, and surfaces it on the next SessionStart. Every file you need, in order.
  5. Agents · · 5 min Slash commands with memory — commands that learn between sessions A Claude Code slash command is a markdown file with a shell expansion. Wire that shell call to RedDB and the command stops being a stateless macro — /remember, /forget, /recall become a tiny CRUD app the agent uses for itself.
  6. Agents · · 4 min RedDB as Claude Code's memory backend — beyond CLAUDE.md Swap the static MEMORY.md file for a queryable, embeddable memory layer. A SessionStart hook reads top-K memories into context, a /remember slash command writes them, and RedDB stores rows, vectors, and audit log in one transaction.
  7. Apr 2026 RAG · · 7 min Building an agent memory layer on RedDB A copy-pasteable schema for episodic, semantic, and procedural memory in a single database — with the queries that retrieve them and the bookkeeping that keeps them honest.

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