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VibeReady isn’t a frozen template. Since launch it’s grown a full agentic layer — memory, retrieval, safe write-actions, and cost observability — across 6 releases. Every one is documented below, and lands in your copy as a free update.
- v0.8.2 Polish
Docs deepen — personalize the AI to how you work
A documentation release. The framework now ships a full guide to the coding assistant’s cross-session memory and how the session-post-mortem skill keeps it curated — so the AI gets more useful the longer you use it, on purpose, not by accident.
- New “AI Memory & Personalization” tutorial: what the assistant remembers between sessions, and where each lesson belongs (memory vs. scoped rule vs. AGENTS.md vs. README).
- session-post-mortem surfaced across the framework docs — it routes end-of-session lessons to their single best home instead of letting memory rot into noise.
- README now leads with the AI Usage dashboard as a first-class feature; every guide ships in your copy as a free update.
- v0.8.0 Feature
AI Usage Dashboard — see what your assistant costs and does
Agent observability for a multi-tenant SaaS: a permission-gated dashboard with real per-request cost, tokens, and tool calls — and a quiet correction underneath it, because the background LLM calls (summarization, titles, memory) had been burning credits invisibly.
- KPI cards, usage-over-time by call kind, and model + tool breakdowns at /dashboard/ai-usage (owner/admin).
- Real OpenRouter per-request cost, not just token estimates — plus a sourced price map for honest totals.
- Per-conversation drill-down (metadata only — never message content) and CSV / JSON export.
- Every LLM call now records through one honest path; the model selector actually takes effect.
- v0.7.0 Feature
AI Memory & Context — the assistant remembers, and long chats stop breaking
Cross-session memory on the existing pgvector stack, plus automatic conversation compaction so a long thread never dead-ends on the model’s context limit.
- Durable, per-(org, user) memory — personal even to org owners; consolidated mem0-style so paraphrases merge and contradictions supersede.
- Self-serve AI Memory manager in Preferences: search, edit (re-embeds), delete, clear-all, on/off.
- Sliding-window + running-summary compaction, with a live context-usage meter and a calm “earlier messages summarized” divider.
- saveMemory / forgetMemory chat tools; memory content never appears in logs.
- v0.6.0 Feature
Knowledge Base (RAG) — chat with your own documents
A per-org knowledge base with pgvector retrieval and a searchKnowledgeBase tool, so the assistant answers from your content instead of guessing.
- Upload PDF / DOCX / MD / TXT; async ingestion (parse → chunk → embed → store) runs on Inngest with an inline fallback.
- pgvector cosine retrieval, scoped by organization — cross-tenant isolation pinned by an integration test.
- Embeddings decoupled from the chat LLM (OpenAI text-embedding-3-small); a mock provider keeps tests key-free.
- Managed at /dashboard/knowledge-base behind the knowledge_base:manage permission.
- v0.5.0 Polish
Chat output UX revamp — tool calls that read like a product
The tool-result pipeline grew up: lucide icons across all tools, verb-led titles, per-tool summaries, and theme-driven semantic tokens.
- Failure cards show the error inline — no more redundant JSON dumps.
- Auto-titles source from the user’s first message only; lowercase role labels pinned by a regression test.
- Latent fix: API integration tests had been silently skipped — all 142 now run.
- v0.4.0 Feature
Write actions + Human-in-the-Loop approval
The assistant stops being read-only: it can invite, change roles, and remove members — each gated behind an inline Approve / Deny step.
- Four owner/admin-only write tools, each declared with AI SDK v6’s needsApproval.
- Inline Approve / Deny cards; the turn auto-resumes once approvals resolve.
- AI provenance on every audited action (triggered_by: ai, conversation + tool-call ids, approver).
- v0.3.0 Polish
AI SDK v6 migration + foundation hardening
Moved the stack to the supported major and tightened the guardrails buyers extend.
- ai → ^6, paired @ai-sdk/* providers; the official codemod made three mechanical edits.
- Output cap raised 2048 → 8192; a 2,000-message-per-conversation cap with a clean 413.
- Inline rationale at every AI-runtime magic number — the override surface a starter kit needs.
- v0.2.1 Security
Security patch — 22 advisories resolved
Resolved 22 vulnerabilities including a critical Clerk middleware route-protection bypass (CVSS 9.1) and a Next.js Server Actions CSRF bypass. Customers should upgrade promptly.
- Clerk 6.x route-protection bypass (GHSA-vqx2-fgx2-5wq9) and authorization bypass closed.
- Next.js CSRF-via-null-origin, request smuggling, and several DoS vectors resolved in the 16.x line.
- v0.2.0 Feature
Conversation memory & persistence
The assistant keeps conversations across sessions — the foundation everything agentic was built on.
- Sidebar history with auto-generated titles; rename, delete, and full resume.
- Tool calls and results round-trip on resume — replayed exactly as they ran.
- Multi-tenant scoping on every read; the groundwork for write-tools, RAG, and memory.
On the roadmap
Where the agent platform goes next. In progress — no promised dates.
- Agent Evaluation Suite
- MCP Server (expose your SaaS)
- Integrations (MCP connectors)
- No-code Agent Builder
- Visual Workflow Builder
Buy once. Keep shipping.
Every release above landed in existing copies as a free update. See what’s included.
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