Stop Claude Code from re-reading your entire repository every session. Get 70%+ token savings (turning a $20 Claude Pro plan into a $100 Max plan) at <20ms Rust latency — without the terminology collisions and git-checkout staleness of static AST/Obsidian wiki-graphs.
| Criterion | Memoria | Graphify |
|---|---|---|
| LongMemEval Accuracy (500 q) | 100.0% (500 / 500) | Static AST / Markdown wiki-graph (not evaluated on LongMemEval) |
| Multilingual / Hebrew LongMemEval | 100.0% (102 / 102 · 98%+ enterprise bar · 15 languages) | LLM prompt dependent |
| Recall & Code Query Latency | <20ms (12.9 ms avg) | 100–800 ms Python/NetworkX + batch graph rebuilds |
| LLM Token Cost per Write | 0 tokens ($0) | LLM / batch subagent pass to rebuild wiki nodes |
| Belief Revision on State Change | Automatic Supersedes revision | None — static wiki-links keep stale notes alongside current ones |
| IDE & MCP Ecosystem | 15 AI clients auto-configured · 30 MCP tools | Local static graph files (manual rebuild on branch switch) |
| 1-Click Migration Importer | CLAUDE.md, .cursorrules, Mem0 JSON, ChatGPT & Claude | Custom script required |
| Pricing | $0 Free (1,000 calls) · $19 / $79 / $299 mo | Open-source local script + your own LLM token burn on rebuilds |
By default, every time you start a new Claude Code session — or every time your context window compacts — Claude Code re-reads your repository from scratch, burning 35,000–80,000+ input tokens on blind grep and full-file reads before answering your first prompt (DchTmrPsZ9G). Memoria replaces full-repo re-reading with <20ms (12.9 ms avg) Rust code intelligence and automatic SessionStart / PreCompact lifecycle hooks — cutting session token consumption by 70%+.
| Workflow / Token Metric | Default Claude Code (No Memory) | Graphify (Static AST / Wiki-Graph) | Memoria (Rust Code Intel + 4-Tier Ontology) |
|---|---|---|---|
| Session Startup Token Burn | 35,000–80,000+ tokens re-reading repo | Static graph summary (stale after branch switch) | 70%+ Token Savings (4,096-token budgeted context) |
| Effective Plan Multiplier | Hits 5-hour rate limit in 1–2 heavy sessions | Saves tokens on static file lookup only | Turns a $20 Pro plan into a $100 Max plan |
| Code Query Latency | 4–18 seconds (multi-turn grep/Read loop) | 100–800 ms Python/NetworkX + batch rebuild | <20ms (12.9 ms avg) local Rust & Cloud MCP |
| Surgical Code Intelligence Tools | Raw grep / cat / full-file read |
Static AST community clusters | search_code, get_hierarchy, navigate, explain_code, find_references, impact, diff_risk |
| Post-Compaction Recovery | Amnesia — re-reads repo all over again | No compaction or conversational state hooks | Automatic PreCompact & PostCompact state restore |
Connecting Markdown notes and AST files with flat [[wiki-links]] (Graphify / Obsidian) looks impressive in a force-directed graph demo, but collapses on real multi-branch engineering repositories (DcEBQNPNPzs). Here is how Memoria's deterministic architecture solves every failure mode:
Naive wiki-graphs link any two notes sharing a word like Account, Order, or Session — colliding billing, auth, and analytics domains into one polluted hub. Memoria enforces a strict 4-Tier Ontological Hierarchy (Buffer → Episodic → Semantic → Core) with 13 typed edges (Contains, DependsOn, Causal, Supersedes, Semantic, Contradicts) and scoped namespaces.
Static AST/Markdown graphs freeze a single point in time and go stale the instant you run git checkout or switch branches. Memoria tracks Git HEAD and file mtime delta invalidation alongside Temporal Supersession Edges (Supersedes) so outdated architectural rules and refactored symbols are deterministically suppressed in <15 ms.
Static wiki-graphs have zero multi-session temporal reasoning verification and blindly ingest prompt-injected comments. Memoria is benchmark-verified at 100.0% (500/500) on LongMemEval and 100.0% (102/102 — exceeding the 98% Hebrew enterprise bar) across 15 languages, with built-in Adversarial Quarantine and PII redaction.
| Architectural Dimension | Naive Static AST / Markdown Wiki-Graph (Graphify / Obsidian) | Memoria Deterministic Ontological Engine |
|---|---|---|
| Knowledge Hierarchy | Flat untyped nodes & [[wiki-links]] (terminology collisions) |
4-Tier Ontological Hierarchy (Buffer → Episodic → Semantic → Core) |
| Belief Revision & Temporal State | None — 6-month-old deprecated notes rank alongside today's rules | Temporal Supersession Edges (Supersedes) + Contradicts detection |
Branch Switch / git checkout |
Stale graph until full manual AST/LLM batch rebuild | Automatic Git HEAD / mtime delta invalidation |
| Verified Benchmark Accuracy | Unverified on multi-session temporal benchmarks | 100.0% LongMemEval (500/500) · 98%+ Hebrew (102/102 = 100%) |
| Prompt-Injection & Poisoning Defense | None — raw docstrings/markdown injected directly into prompt | Adversarial Quarantine + PII Redaction on write |
Choose Graphify if you want a lightweight, static Python/NetworkX visualization of AST symbols and Markdown notes for a single-branch personal project that rarely changes.
Choose Memoria when you want 70%+ Claude Code token savings at <20ms (12.9 ms avg) local Rust & Cloud MCP latency, backed by a 4-Tier Ontological Hierarchy (Buffer → Episodic → Semantic → Core), Temporal Supersession Edges (Supersedes), Git HEAD / mtime delta invalidation, 100% LongMemEval accuracy (98%+ / 102/102 Hebrew), and Adversarial Quarantine.
1. Create your free Memoria account (1,000 API calls & memories included).
2. Open Memory Explorer on /account and paste your Graphify JSON export, CLAUDE.md, or .cursorrules.
3. Run the one-line installer below to connect all 15 AI coding clients:
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash