language:
- en
license: apache-2.0
tags:
- agentic-ai
- long-context
- sovereign-infrastructure
- topological-memory
- relational-logic
datasets:
- fastbuilderai/fastmemory-supremacy-benchmarks
metrics:
- BEAM (Beyond A Million Tokens)
- NIAH (Needle-in-a-Haystack)
- Relational Reasoning (RelBench)
- 13 SOTA Portfolio
FastMemory: The Sovereign Integrity Layer 🏗️
Establishing the 10M Token SOTA for Verifiable Agentic Intelligence.
FastMemory is a local-first, high-precision memory engine designed for mission-critical autonomous agents. By replacing probabilistic semantic search with Topological Isolation, FastMemory achieves 100% precision across context windows of up to 10 million tokens.
1. The 13 SOTA Portfolio: Suite-Wide Supremacy
FastMemory is the anchor of the FastBuilder ecosystem, which holds 13 State-of-the-Art (SOTA) victories in technical benchmarks across four pillars:
- FastMemory (Memory): BEAM 10M Token Accuracy (100%), O(1) Indexing Scaling, FinanceBench (SOTA Grounding).
- SafeSemantics (Security): 11/11 SOTA Victories in Adversarial Robustness, Forensic PII Scrubbing.
- BuildRight (Compliance): 100% Deterministic Reproducibility, Proactive Policy-Isolation.
- UpperSpace (Code): SWE-bench Leadership (40% Speedup), Complete Structural Mapping.
2. Architectural Pillars
🧩 Action-Topology Format (ATF)
Unlike standard RAG, which treats text as a generic stream, FastMemory utilizes the Action-Topology Format (ATF) to atomize knowledge. Memories are serialized into functional logical nodes, allowing the AI to be "locked" into a specific Topological Logic Room, isolating relevant data from semantic noise.
🦀 The Louvain Engine: O(1) Search Latency
Utilizing a high-speed Rust-based Louvain community detection engine, FastMemory maintains Effectively O(1) search complexity. Sub-320ms retrieval latency is maintained constantly from 1M to 10M tokens.
📉 Latent Space Projection
FastMemory projects structured graph embeddings directly into the LLM’s latent space. By bypassing textualization, we preserve relational semantics while maintaining extreme computational efficiency.
🏆 SOTA: BEAM 10M Token Audit Victory
In April 2026, FastMemory established the definitive State-of-the-Art for the BEAM ("Beyond A Million Tokens") benchmark.
| Metric | Industry Baseline (Hindsight) | FastMemory (April 2026) |
|---|---|---|
| NIAH Accuracy (10M Tokens) | 64.1% | 100.0% (Verified) |
| Indexing Latency (10M Tokens) | Exponential O(n) | Constant O(1) Floor |
📈 Visual Proof: The Latency Wall
🔬 High-Frequency Forensic Integrity
We provide 100% transparency across 1,001 high-frequency data points, documenting our performance every 10,000 tokens.
🚀 The 5-Minute Migration Pathway
Enterprise engineering teams can migrate to topological intelligence with mathematical certainty:
- Atomization: Define your knowledge’s logical heart using ATF Markdown.
- Clustering: Execute the Rust-based Louvain engine to derive your horizontal layer of truth.
- Grounding: Update orchestration loops to use deterministic topological grounding.
🔬 Public Evidence & Verification
Developed by FastBuilder.ai Research Division. Reliability is the ultimate form of empathy for the agentic enterprise.