language:
- en
license: apache-2.0
tags:
- agentic-ai
- long-context
- sovereign-infrastructure
- topological-memory
datasets:
- fastbuilderai/fastmemory-supremacy-benchmarks
metrics:
- BEAM (Beyond A Million Tokens)
- NIAH (Needle-in-a-Haystack)
FastMemory: The Sovereign Integrity Layer 🏗️
Establishing the 10M Token SOTA for Verifiable Agentic Intelligence.
FastMemory is a local-first, high-precision memory engine that treating raw data as a Crystalline Building rather than a "flat pile of vectors." By replacing probabilistic semantic search with Topological Isolation, FastMemory achieves 100% precision across context windows of up to 10 million tokens.
🏗️ Architectural Pillar 1: Action-Topology Format (ATF)
Unlike standard RAG, which treats text as a generic stream, FastMemory utilizes the Action-Topology Format (ATF) to atomize knowledge:
- Atomization: Memories are serialized into specific logical nodes with deterministic IDs.
- Deterministic Grounding: The AI is "locked" into a specific logic room, isolating relevant data from semantic noise.
- Latent Projection: The logical subgraph is projected directly into the model’s latent space, removing the quadratic attention burden for mission-critical reasoning.
🏗️ Architectural Pillar 2: The Louvain Engine (Rust)
FastMemory utilizes a high-speed Rust-based Louvain community detection engine for koncept derives. This allows for effectively O(1) search complexity:
- Constant Latency Floor: Retrieval time does not scale linearly with token volume. Sub-320ms latency is maintained from 1M to 10M tokens.
- Topological Logic Rooms: Queries enter discrete conceptual clusters already isolated during indexing, rather than searching the entire "haystack."
🏆 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, decimating previous industry standards.
| 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 |
| Integrity Depth | Probabilistic | Forensic (Deterministic) |
📈 Visual Evidence: The Latency Wall
Traditional RAG architectures suffer from "Context Rot" and exponential latency spikes. FastMemory maintains architectural integrity at scale.
🔬 Forensic Audit Trace (1,001 Rows)
We provide 100% transparency across 1,001 high-frequency data points, documenting our performance every 10,000 tokens.
🚀 Public Verification
We invite researchers and technical partners to verify our results locally.
Developed by FastBuilder.ai Research Division. Reliability is the ultimate form of empathy for the agentic enterprise.