diff --git a/packages/core/src/session/compaction.ts b/packages/core/src/session/compaction.ts
index f714633295a5..262c33e744fe 100644
--- a/packages/core/src/session/compaction.ts
+++ b/packages/core/src/session/compaction.ts
@@ -13,46 +13,29 @@ const DEFAULT_BUFFER = 20_000
 const DEFAULT_KEEP_TOKENS = 8_000
 const TOOL_OUTPUT_MAX_CHARS = 2_000
 const SUMMARY_OUTPUT_TOKENS = 4_096
-const SUMMARY_TEMPLATE = `Output exactly the Markdown structure shown inside <template> and keep the section order unchanged. Do not include the <template> tags in your response.
-<template>
-## Objective
-- [one or two brief sentences describing what the user is trying to accomplish]
-
-## Important Details
-- [constraints/preferences, decisions and why, important facts/assumptions, exact context needed to continue, or "(none)"]
-
-## Work State
-### Completed
-- [finished work, verified facts, or changes made; otherwise "(none)"]
-
-### Active
-- [current work, partial changes, or investigation state; otherwise "(none)"]
-
-### Blocked
-- [blockers, failing commands, or unknowns; otherwise "(none)"]
-
-## Next Move
-1. [immediate concrete action, or "(none)"]
-2. [next action if known, or "(none)"]
-
-## Relevant Files
-- [file or directory path: why it matters, or "(none)"]
-</template>
-
-Rules:
-- Keep every section, even when empty.
-- Use terse bullets, not prose paragraphs.
-- Preserve exact file paths, symbols, commands, error strings, URLs, and identifiers when known.
-- Do not mention the summary process or that context was compacted.`
-const SUMMARY_UPDATE_INSTRUCTIONS = `The <prior-summary> summarizes everything that happened before the <conversation>. Construct a new summary that combines both. The <prior-summary> is discarded after this: anything you do not carry into the new summary is lost.
+const SUMMARY_TEMPLATE = `You are creating a comprehensive context restoration document. This document will serve as the foundation for continued work - it must preserve critical knowledge that would otherwise be lost.
+
+Create a detailed summary with these sections:
+1. Current Task State - what is being worked on, next steps, blockers
+2. Resolved Code & Lessons Learned - working code verbatim, failed approaches, insights
+3. User Directives - explicit preferences, style rules, things to always/never do
+4. Custom Utilities & Commands - scripts, aliases, debugging commands
+5. Design Decisions & Derived Requirements - architecture decisions, API contracts, patterns
+6. Technical Facts - file paths, function names, config values, environment details
+
+Critical rules:
+- PRESERVE working code verbatim in fenced blocks
+- INCLUDE failed approaches with explanations
+- Be specific with paths, line numbers, function names
+- Capture the "why" behind decisions
+- User directives are sacred - never omit them`
+const SUMMARY_UPDATE_INSTRUCTIONS = `The <prior-summary> summarizes everything that happened before the <extracted_context>. Merge all information from the <prior-summary> into your new document. Do not lose any historical context.
 
 When combining:
-- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <conversation> does not mention them. Drop only what is finished and no longer needed.
-- The <conversation> is more recent than the <prior-summary>. Where they conflict, the conversation wins: state the corrected fact and drop the old claim.
-- Add new progress, decisions, constraints, and context from the conversation.
-- Move completed work from "Active" to "Completed".
-- If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.
-- Update "Objective" and "Next Move" to reflect the current work state.`
+- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <extracted_context> does not mention them. Drop only what is finished and no longer needed.
+- The <extracted_context> is more recent than the <prior-summary>. Where they conflict, the newer content wins: state the corrected fact and drop the old claim.
+- Add new progress, decisions, constraints, and context from the <extracted_context>.`
+const RECENT_GUIDANCE = `The <recent_context> below is the most recent activity in the session. It is NOT part of what you are summarizing - it stays in the conversation verbatim. Use it only to judge relevance: weight the summary toward what matters for where the session is currently headed, and drop detail from the <extracted_context> that is no longer relevant to the current direction.`
 
 type Entry = {
   readonly seq: number
@@ -157,20 +140,28 @@ const select = (
   }
 }
 
-export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
-  const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
-  if (!input.previousSummary)
-    return [
-      conversation,
-      "Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
-      SUMMARY_TEMPLATE,
-    ].join("\n\n")
+export const buildPrompt = (input: {
+  readonly previousSummary?: string
+  readonly context: readonly string[]
+  readonly recent?: string
+}) => {
+  const extracted = `The following conversation content needs to be distilled into the summary:\n\n<extracted_context>\n${input.context.join("\n\n")}\n</extracted_context>`
+  const recent = input.recent
+    ? `${RECENT_GUIDANCE}\n\n<recent_context>\n${input.recent}\n</recent_context>`
+    : undefined
+  const prior = input.previousSummary
+    ? `Here is the summary of everything before the <extracted_context>:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`
+    : undefined
   return [
-    conversation,
-    `Here is the summary of the conversation before the <conversation> above:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
-    SUMMARY_UPDATE_INSTRUCTIONS,
     SUMMARY_TEMPLATE,
-  ].join("\n\n")
+    prior,
+    prior ? SUMMARY_UPDATE_INSTRUCTIONS : undefined,
+    extracted,
+    recent,
+    "Generate the context restoration document now.",
+  ]
+    .filter(Boolean)
+    .join("\n\n")
 }
 
 export const make = (dependencies: Dependencies) => {
diff --git a/packages/core/src/v1/config/config.ts b/packages/core/src/v1/config/config.ts
index 7ebb4b69b023..11a219860c39 100644
--- a/packages/core/src/v1/config/config.ts
+++ b/packages/core/src/v1/config/config.ts
@@ -29,6 +29,8 @@ const LogLevelRef = Schema.Literals(["DEBUG", "INFO", "WARN", "ERROR"]).annotate
   description: "Log level",
 })
 
+const Ratio = Schema.Number.check(Schema.isGreaterThanOrEqualTo(0), Schema.isLessThanOrEqualTo(1))
+
 export const Info = Schema.Struct({
   $schema: Schema.optional(Schema.String).annotate({
     description: "JSON schema reference for configuration validation",
@@ -161,6 +163,22 @@ export const Info = Schema.Struct({
       preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
         description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",
       }),
+      recent_tokens: Schema.optional(NonNegativeInt).annotate({
+        description:
+          "Tokens of the most recent messages to include in the compaction prompt as a relevance signal, so the summary is weighted toward the session's current direction. These messages are also kept verbatim (they are within the preserved tail). 0 disables the signal.",
+      }),
+      trigger_ratio: Schema.optional(Ratio).annotate({
+        description:
+          "Fraction (0-1) of the model's context window at which automatic compaction triggers. When set, compaction fires once usage reaches trigger_ratio x context (a proactive percentage), overriding the default fixed-headroom (reserved) mechanism. Example: 0.85 compacts at 85% of the context window.",
+      }),
+      extract_ratio: Schema.optional(Ratio).annotate({
+        description:
+          "Fraction (0-1) of the current scoped conversation to summarize (the oldest portion). The rest is kept verbatim as the tail. When set, this overrides preserve_recent_tokens and scales with session size, so a small session is never fully summarized. Example: 0.40 summarizes the oldest 40% and keeps the newest 60% verbatim.",
+      }),
+      recent_ratio: Schema.optional(Ratio).annotate({
+        description:
+          "Fraction (0-1) of the current scoped conversation, taken from the newest end, to include in the compaction prompt as the relevance signal. When set, overrides recent_tokens and scales with session size. Example: 0.15 feeds the newest 15% to the summarizer as the lens.",
+      }),
       reserved: Schema.optional(NonNegativeInt).annotate({
         description: "Token buffer for compaction. Leaves enough window to avoid overflow during compaction.",
       }),
diff --git a/packages/opencode/src/session/compaction.ts b/packages/opencode/src/session/compaction.ts
index 75d6374bfa54..33700197701a 100644
--- a/packages/opencode/src/session/compaction.ts
+++ b/packages/opencode/src/session/compaction.ts
@@ -227,7 +227,16 @@ const layer = Layer.effect(
     }) {
       const limit = input.cfg.compaction?.tail_turns
       if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
-      const budget = preserveRecentBudget({ cfg: input.cfg, model: input.model })
+      // When extract_ratio is set, size the verbatim tail proportionally to the current
+      // conversation ((1 - extract_ratio) of scoped tokens) so it scales with session size and
+      // a small session is never fully summarized. Otherwise use the absolute token budget.
+      const extractRatio = input.cfg.compaction?.extract_ratio
+      const budget =
+        extractRatio === undefined
+          ? preserveRecentBudget({ cfg: input.cfg, model: input.model })
+          : Math.floor(
+              (1 - extractRatio) * (yield* estimate({ messages: input.messages, model: input.model })),
+            )
       const all = turns(input.messages)
       if (!all.length) return { head: input.messages, tail_start_id: undefined }
       const recent = limit === undefined ? all : all.slice(-limit)
@@ -268,6 +277,39 @@ const layer = Layer.effect(
       }
     })
 
+    // Walks the history newest-first and returns the index where the newest messages first
+    // exceed `budget` tokens, so the slice from there to the end fits within the budget.
+    const recentStart = Effect.fn("SessionCompaction.recentStart")(function* (input: {
+      history: SessionV1.WithParts[]
+      budget: number
+      model: Provider.Model
+    }) {
+      const sizes = yield* Effect.forEach(input.history, (message) =>
+        estimate({ messages: [message], model: input.model }),
+      )
+      const fit = sizes.reduceRight((state, size, index) => {
+        if (state.done) return state
+        const total = state.total + size
+        if (total > input.budget) return { total: state.total, start: index + 1, done: true }
+        return { total, start: index, done: false }
+      }, { total: 0, start: 0, done: false })
+      return fit.start
+    })
+
+    // The <recent_context> relevance signal: the newest messages up to `budget` tokens, serialized
+    // oldest-first. These stay verbatim in the conversation; they are shown to the summarizer only
+    // so it can weight the summary toward the session's current direction.
+    const recentContext = Effect.fn("SessionCompaction.recentContext")(function* (input: {
+      history: SessionV1.WithParts[]
+      budget: number
+      model: Provider.Model
+    }) {
+      if (input.budget <= 0) return undefined
+      const start = yield* recentStart(input)
+      const text = input.history.slice(start).map(serialize).filter(Boolean).join("\n\n")
+      return text || undefined
+    })
+
     // goes backwards through parts until there are PRUNE_PROTECT tokens worth of tool
     // calls, then erases output of older tool calls to free context space
     const prune = Effect.fn("SessionCompaction.prune")(function* (input: { sessionID: SessionID }) {
@@ -364,8 +406,11 @@ const layer = Layer.effect(
       const prior = completedCompactions(history)
       const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
       const previousSummary = prior.at(-1)?.summary
+      // The scoped conversation both ratios and selection reason about: history with prior
+      // compaction turns hidden.
+      const scoped = history.filter((_, index) => !hidden.has(index))
       const selected = yield* select({
-        messages: history.filter((_, index) => !hidden.has(index)),
+        messages: scoped,
         cfg,
         model,
       })
@@ -378,12 +423,21 @@ const layer = Layer.effect(
       const msgs = structuredClone(selected.head)
       yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
       const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
+      // recent_ratio (proportional) overrides the absolute recent_tokens when set. The result is a
+      // subset of the verbatim tail, fed to the summarizer as the relevance signal.
+      const recentRatio = cfg.compaction?.recent_ratio
+      const recentBudget =
+        recentRatio === undefined
+          ? (cfg.compaction?.recent_tokens ?? 0)
+          : Math.floor(recentRatio * (yield* estimate({ messages: scoped, model })))
+      const recent = yield* recentContext({ history: scoped, budget: recentBudget, model })
       const nextPrompt =
         compacting.prompt ??
         [
           buildPrompt({
             previousSummary,
             context: [conversation],
+            recent,
           }),
           ...compacting.context,
         ]
diff --git a/packages/opencode/src/session/overflow.ts b/packages/opencode/src/session/overflow.ts
index 3374d1c9f8d4..7151e21bc905 100644
--- a/packages/opencode/src/session/overflow.ts
+++ b/packages/opencode/src/session/overflow.ts
@@ -30,5 +30,9 @@ export function isOverflow(input: {
 
   const count =
     input.tokens.total || input.tokens.input + input.tokens.output + input.tokens.cache.read + input.tokens.cache.write
+  // When trigger_ratio is set, compact proactively at trigger_ratio x context (a percentage of the
+  // window) instead of the default fixed-headroom threshold.
+  const triggerRatio = input.cfg.compaction?.trigger_ratio
+  if (triggerRatio !== undefined) return count >= input.model.limit.context * triggerRatio
   return count >= usable(input)
 }