Records Everything. Answers Anything.
RL4 silently captures your chats, IDE sessions, commits, & CLI – turning your dev history into instant, cited answers.
Ask anything to your codebase.
Question
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Does this solve LLM context limits?
LLMs have finite context windows by design. Long sessions fill up. Model switches reset everything. Here's what devs face—and how RL4 helps.
Capabilities Unlocked
Don’t just chat. Maintain project continuity in the IDE.
Recover from context limits
When context fills fast in coding sessions.
Switch models safely
Carry architecture, constraints, and progress across providers.
Continuity you can trust
Keep decisions and constraints intact across sessions and resets.
Share reasoning with your team
Hand off context without losing memory or quality.
Your project memory. Across chats. Across models. Across time.
Stop re-explaining your architecture in every new chat.
AI coding tools feel powerful. Until they forget everything.
Start every AI chat with real context — not from zero.
RL4 maintains a live memory of your workspace — files, meaningful changes, key decisions, and chats — so every new AI interaction understands what you're building and what has already been tried.
- Works per workspace, across sessions and chats.
- Exposed via MCP (search_context() gives agents structured access to project history).
- Captures what actually happened in your IDE — not just what you wrote in a doc.
memorycaptureanalyzeRestore context. Replay decisions. Stop guessing.
RL4 snapshots your project into a compact content store. From there, it can restore a working workspace and reconstruct what changed, when, and why — without digging through Git, scattered notes, or half-remembered threads.
- Restore a full workspace from RL4 snapshots.
- Timeline + evidence explain the story behind the code, not just the diffs.
- Ask "what changed in auth last week?" and get a traceable answer.
Your AI learns your project constraints.
RL4 turns real bugs, regressions, and architectural lessons into project-specific DO / DON'T rules that are automatically injected into your AI calls. Over time, your assistant aligns with your actual constraints instead of retrying broken ideas.
- Auto-generated skills file per project, based on real history.
- Injected via MCP so every agent call respects your constraints.
- No manual "rules doc" to maintain — RL4 keeps it aligned with the timeline.
rules updatesummaryJoin a project and understand what's going on.
RL4 generates a compressed, structured overview of the repo — what exists, what changed recently, and why certain decisions were made or rejected. Onboarding shifts from "read this README + Notion" to asking real questions immediately.
- Share RL4 context alongside the repo.
- Ask "why / how / what broke" and get answers grounded in history.
- Future-you benefits as much as new teammates.
Built on MCP
RL4 exposes your project memory through the Model Context Protocol. Any MCP-compatible agent in Cursor can query evidence, timeline, and decisions — with citations — so it reasons over what actually happened, not just the current thread.
- get_evidence, get_timeline, get_decisions — full content with citation source first.
- search_context(query) — RAG over project history (source, tag, date). Agents get structured access without digging through the repo.
- Cross-workspace: in this chat, point at another RL4 workspace (e.g. Extension Chrome), load its evidence + timeline, and draft landing copy, docs, or handoffs grounded in what that project actually built.
workspaces
RL4 turns your project into a system with memory — not just a stream of prompts.
Join the RL4 Cursor Beta
Be among the first to experience context that survives everything. Model switches, session resets, long workflows—nothing breaks your flow.
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Built for dev workflows
Less re-briefing. Less drift. More momentum.
Context that survives resets
Snapshot decisions, constraints, and conventions so you can start a fresh chat without losing the plot.
Model switches without rewrites
Handoff a clean package so the next model respects your architecture instead of restarting from scratch.
Local-only by default
Designed to keep everything on your machine—so you can use it on real codebases without worrying about leaks.
FAQ (RL4 Cursor)
Everything about context preservation, evidence tracking, and privacy in the IDE.
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