diff --git a/marketing/2026-07-13-cross-host-local-learning-brief.md b/marketing/2026-07-13-cross-host-local-learning-brief.md new file mode 100644 index 0000000..a8b9bde --- /dev/null +++ b/marketing/2026-07-13-cross-host-local-learning-brief.md @@ -0,0 +1,86 @@ +# claude-smart marketing brief — cross-host local learning (2026-07-13) + +## Why this run + +`origin/main` now clearly presents claude-smart as a learning layer for Claude Code, Codex, and OpenCode. The current public conversation around coding-agent memory is crowded with "shared memory", "second brain", and "MCP memory" positioning. The strongest low-risk angle for claude-smart is narrower and more differentiated: + +> claude-smart turns corrections and successful workflows into local Preferences, Project-specific skills, and Shared skills that Claude Code, Codex, and OpenCode can reuse in future sessions. + +This avoids generic memory claims while highlighting the parts developers can verify from the repo: local install, dashboard/auditability, host support, and rule-like learned artifacts. + +## Read-only market signals checked + +- GitHub repo metadata is aligned: description mentions Preferences, Project-specific skills, Shared skills, and topics include `claude-code-plugin`, `codex-plugin`, `opencode-plugin`, `agent-memory`, `ai-agent-memory`, `local-first`, and `self-improving-ai`. +- X/Twitter search was used read-only only. No likes/replies/posts/DMs were sent. +- Recent X results for `"Claude Code" memory`, `"Claude Code" plugin memory`, and `"Codex" memory agent` show active discussion around: + - Claude Code agents forgetting between sessions. + - Local/shared memory across Claude Code, Codex, and other coding agents. + - Obsidian/second-brain memory workflows. + - MCP-backed memory tools. + +## Positioning recommendation + +Lead with **learning from corrections**, not "another memory store". + +Suggested hierarchy: + +1. **Problem:** coding agents repeat the same mistakes across sessions and hosts. +2. **Mechanism:** claude-smart distills corrections and successful workflows into Preferences, Project-specific skills, and Shared skills. +3. **Distribution:** one local learning layer works across Claude Code, Codex, and OpenCode. +4. **Proof hooks:** inspectable dashboard, local storage, and benchmark in `EXPERIMENT.md` for correction capture vs `claude-mem`. + +## Ready-to-post first-party update + +Use after any active release/install issue is resolved, especially if issue #130 is still open when posting. + +```text +Coding-agent memory should do more than remember a transcript. + +The useful loop is: +correction → Project-specific skill → Shared skill → future Claude Code/Codex/OpenCode sessions start from the better path. + +That is the design behind claude-smart: a local learning layer powered by Reflexio. + +Repo: https://github.com/ReflexioAI/claude-smart +``` + +## Suggested X post for Yi to review + +No X action was taken automatically. + +```text +A pattern I keep seeing in coding-agent memory tools: they optimize for storing more context. + +For coding, the higher-leverage unit is often a future-facing rule: +"when this situation appears again, do X instead of Y." + +claude-smart turns corrections and successful workflows into Preferences, Project-specific skills, and Shared skills that Claude Code, Codex, and OpenCode can reuse locally. + +https://github.com/ReflexioAI/claude-smart +``` + +## Suggested X reply for relevant threads + +Only use when someone is explicitly asking about Claude Code/Codex/OpenCode memory or repeated agent mistakes. Do not use as a cold promo reply. + +```text +One framing that helped us: store less transcript, more future-facing rule. + +claude-smart turns corrections into Preferences, Project-specific skills, and Shared skills, so future Claude Code/Codex/OpenCode sessions can start from the learned path instead of rediscovering it. + +Repo: https://github.com/ReflexioAI/claude-smart +``` + +## Non-X distribution opportunities + +1. **GitHub issue #55 follow-up:** ask users to share one stale or useful Project-specific skill after the latest host-support changes. Keep it framed as product feedback, not marketing. +2. **Docs/blog outline:** "Memory vs learning for coding agents" — use examples already in `README.md` and tie benchmark claims only to `EXPERIMENT.md`. +3. **OpenCode communities:** if Yi has an owned/approved channel, share the one-sentence install update: `npx claude-smart install --host opencode` plus the note that local Preferences, Project-specific skills, and Shared skills are reused across supported hosts. + +## Guardrails + +- Do not claim hosted sync, team sharing, customer adoption, or benchmark results beyond `EXPERIMENT.md`. +- Do not post on X/Twitter automatically. +- Avoid competitor attacks; use the factual "memory vs learning" distinction. +- Preserve public terminology: Preference, Project-specific skill, Shared skill. +- If release/install issue #130 is still open, avoid broad launch amplification and keep messaging to docs/feedback channels until fixed.