Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

Description

@AlexMikhalev

Parent Epic

#682 -- Evaluate Pi architectural patterns

Pattern

Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

Current State

Evaluation Questions

  1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
  2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
  3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
  4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

Acceptance Criteria

  • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
  • Prototype tree-structured session format for terraphim_persistence
  • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
  • Decision: adopt, adapt, or reject with rationale

References

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

      Description

      @AlexMikhalev

      Parent Epic

      #682 -- Evaluate Pi architectural patterns

      Pattern

      Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

      Current State

      Evaluation Questions

      1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
      2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
      3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
      4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

      Acceptance Criteria

      • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
      • Prototype tree-structured session format for terraphim_persistence
      • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
      • Decision: adopt, adapt, or reject with rationale

      References

      Activity

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          No branches or pull requests

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

          Description

          @AlexMikhalev

          Parent Epic

          #682 -- Evaluate Pi architectural patterns

          Pattern

          Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

          Current State

          Evaluation Questions

          1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
          2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
          3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
          4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

          Acceptance Criteria

          • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
          • Prototype tree-structured session format for terraphim_persistence
          • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
          • Decision: adopt, adapt, or reject with rationale

          References

          Activity

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          Assignees

          No one assigned

            Labels

            enhancementNew feature or request

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

              Description

              @AlexMikhalev

              Parent Epic

              #682 -- Evaluate Pi architectural patterns

              Pattern

              Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

              Current State

              Evaluation Questions

              1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
              2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
              3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
              4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

              Acceptance Criteria

              • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
              • Prototype tree-structured session format for terraphim_persistence
              • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
              • Decision: adopt, adapt, or reject with rationale

              References

              Activity

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              Metadata

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              Assignees

              No one assigned

                Labels

                enhancementNew feature or request

                Type

                No type

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                No projects

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                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

                  Description

                  @AlexMikhalev

                  Parent Epic

                  #682 -- Evaluate Pi architectural patterns

                  Pattern

                  Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

                  Current State

                  Evaluation Questions

                  1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
                  2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
                  3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
                  4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

                  Acceptance Criteria

                  • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
                  • Prototype tree-structured session format for terraphim_persistence
                  • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
                  • Decision: adopt, adapt, or reject with rationale

                  References

                  Activity

                  Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    enhancementNew feature or request

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

                      Description

                      @AlexMikhalev

                      Parent Epic

                      #682 -- Evaluate Pi architectural patterns

                      Pattern

                      Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

                      Current State

                      Evaluation Questions

                      1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
                      2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
                      3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
                      4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

                      Acceptance Criteria

                      • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
                      • Prototype tree-structured session format for terraphim_persistence
                      • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
                      • Decision: adopt, adapt, or reject with rationale

                      References

                      Activity

                      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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                      No one assigned

                        Labels

                        enhancementNew feature or request

                        Type

                        No type

                        Projects

                        No projects

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                          No milestone

                          Relationships

                          None yet

                          Development

                          No branches or pull requests

                          Issue actions

                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

                          Description

                          @AlexMikhalev

                          Parent Epic

                          #682 -- Evaluate Pi architectural patterns

                          Pattern

                          Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

                          Current State

                          Evaluation Questions

                          1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
                          2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
                          3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
                          4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

                          Acceptance Criteria

                          • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
                          • Prototype tree-structured session format for terraphim_persistence
                          • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
                          • Decision: adopt, adapt, or reject with rationale

                          References

                          Activity

                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            enhancementNew feature or request

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              Evaluate: Tree-structured session storage (Pi pattern) for terraphim_persistence #683

                              Description

                              @AlexMikhalev

                              Parent Epic

                              #682 -- Evaluate Pi architectural patterns

                              Pattern

                              Pi (badlogic/pi-mono) uses tree-structured JSONL for session storage. Each entry has id and parentId fields, enabling in-place branching without creating new files. A visual /tree navigator lets users jump to any point and continue from there. All branches are preserved in a single file.

                              Current State

                              Evaluation Questions

                              1. Does tree-structured JSONL improve debugging and replay for ADF agent sessions? Current linear format loses context on compaction. Tree format preserves all branches.
                              2. Is the id/parentId overhead justified? Each entry gains two fields. Measure storage and parse overhead for typical 500-2000 message sessions.
                              3. Can tree structure coexist with Claude Code's linear format? terraphim-agent imports Claude Code sessions. If we adopt tree format internally, we need a conversion layer.
                              4. Does the tree structure enable new capabilities? E.g., comparing different agent approaches on the same prompt, replaying from a checkpoint with different models.

                              Acceptance Criteria

                              • Document trade-offs (storage overhead, parsing complexity, tooling requirements)
                              • Prototype tree-structured session format for terraphim_persistence
                              • Benchmark parse performance vs linear JSONL for 1000+ entry sessions
                              • Decision: adopt, adapt, or reject with rationale

                              References

                              Activity

                              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                              Metadata

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                              Assignees

                              No one assigned

                                Labels

                                enhancementNew feature or request

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

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                                  No branches or pull requests

                                  Issue actions