Resonator is the official BEAT interpreter. It is a policy layer for interpreting BEAT, the Semantic Raw Format (SRF) standard. It is domain-agnostic and can be applied to Finance, Game, Healthcare, IoT, Logistics, and other environments. Other language, platform, or architecture implementations can be placed or linked in the /reference directory.
Consistent interpretation of BEAT across different environments is also important to maintain semantic compatibility. Therefore, the following core BEAT INTERPRETATION LAYER adopts the BEAT specification directly, ensuring consistent interpretation of event sequences expressed in BEAT.
Edge platform example
const S = '!'; // Contextual Space (who)
const T = '~'; // Time (when)
const P = '^'; // Position (where)
const A = '*'; // Action (what)
const F = '/'; // Flow (how)
const V = ':'; // Causal Value (why)xPU platform example
s = srf == 33 # '!' Contextual Space (who)
t = srf == 126 # '~' Time (when)
p = srf == 94 # '^' Position (where)
a = srf == 42 # '*' Action (what)
f = srf == 47 # '/' Flow (how)
v = srf == 58 # ':' Causal Value (why)Embedded platform example
#define SRF_S '!' // Contextual Space (who)
#define SRF_T '~' // Time (when)
#define SRF_P '^' // Position (where)
#define SRF_A '*' // Action (what)
#define SRF_F '/' // Flow (how)
#define SRF_V ':' // Causal Value (why)WebAssembly platform example
(i32.eq (local.get $srf) (i32.const 33)) ;; '!' Contextual Space (who)
(i32.eq (local.get $srf) (i32.const 126)) ;; '~' Time (when)
(i32.eq (local.get $srf) (i32.const 94)) ;; '^' Position (where)
(i32.eq (local.get $srf) (i32.const 42)) ;; '*' Action (what)
(i32.eq (local.get $srf) (i32.const 47)) ;; '/' Flow (how)
(i32.eq (local.get $srf) (i32.const 58)) ;; ':' Causal Value (why)Resonator is protected under the AGPL-3.0-or-later License. In the RESONATOR CUSTOM LAYER, all other logic may be modified or extended as needed, including but not limited to control flow, routing, resource management, output policy, AI components, analytics, security, and domain-specific strategies.
As the Semantic Raw Format (SRF) standard, BEAT expresses sequences in an eight-state (3-bit) semantic layout aligned with 5W1H. Resonator adopts this layout directly at the interpretation and policy layer so that, given the same BEAT input, it preserves the same semantic stream across all languages, runtimes, and deployment environments.
Pre-execution Evaluation: This layer evaluates patterns that indicate repetition, mechanical rhythm, or automated flow. Based on this evaluation, execution may be blocked, delayed, rerouted, replaced, or omitted entirely, depending on the domain’s policy or objectives. In Web environments, this layer is typically used for bot filtering, automated activity mitigation, and abnormal flow interruption.
In-execution Evaluation: This layer evaluates patterns that contain intention, exploration, or choice dynamics. This evaluation can adjust not only priority and routing, but also strategy, resource allocation, and the form or intensity of execution itself, with the specific outcome varying by domain and implementation. In Web environments, this layer is well-suited for real-time personalization, adaptive UI responses, and guidance during user exploration.
1-byte scan: BEAT reaches speeds that challenge physical limits through 1-byte scanning. This optimizes the core axes of computing resources (Space, Time, Depth), an inevitable outcome of BEAT's core values. In Web environments, this brings C-style scanning in JavaScript.
- Zero-Allocation Stability (Space): No intermediate objects, parsing trees, or temporary structures are created, keeping memory allocation and GC intervention near zero. Latency does not accumulate under traffic spikes, and performance stays stable in long-running environments.
- Maximizing Engine Potential (Time): The CPU simply scans contiguous bytes, driving cache locality to the extreme. Execution speed pushes to the limits of the environment itself. Conventional formats and regex-based handling cannot reach this territory. It only becomes possible when 1-byte scanning is assumed from the start.
- Predictability & Security (Depth): Execution time stays predictable regardless of input, and execution itself never stalls, even under ReDoS-style malicious payloads. Because 1-byte scanning eliminates nested parsing and backtracking, performance collapse is structurally impossible.
AI Insights: Resonator can collaborate with a lightweight AI model to generate real-time insight reports for each BEAT sequence, regardless of where it is deployed (Edge, embedded, xPU, or any environment).
All this accumulated data flows to your AI assistant. This creates an AI-to-AI collaboration flow where lightweight AI creates reports for each run or session and advanced AI synthesizes comprehensive insights from all reports. Dashboards are optional, and humans are not required to manually analyze them. Over time, models may become strong enough that this entire flow finishes in one pass, with no explicit AI-to-AI collaboration step at all. As AI evolves, solutions built on BEAT evolve with it.
In practice, AI can work with BEAT at the following key layers:
- Streaming layer: Real-time evaluation while BEAT sequences are still forming during an active run. This layer is suited to instant decisions such as automated risk checks, flow control, or small personalization tweaks while activity is ongoing.
- Archiving layer: Batch interpretation after runs or journeys are completed and serialized to NDJSON or another log format. This layer is suited to insight reports, ISSUE/ACTION summaries, cohort-style analysis, and long-term pattern identification.
All of these layers use the same BEAT expressive format. The difference lies in where the policy is applied and how aggressively AI is invoked.
Today, many practical setups treat streaming AI as an experimental or selective option, since real-time inference still carries a noticeable cost. As AI models become cheaper and more efficient, the streaming layer can evolve into a real-time co-pilot for analytics, security, and personalization across any domain.
And BEAT can be one of the drivers of that shift. As an SRF, its expressive form removes parsing overhead and lets AI read sequences directly. Start a conversation.
"Which user journey patterns are driving conversions?"
"Any notable ISSUEs today?"
"Can you suggest UX improvements?"
- BEAT: GPL-3.0-or-later License - https://github.com/aidgncom/beat
- Resonator: AGPL-3.0-or-later License - https://github.com/aidgncom/resonator
BEAT is the Semantic Raw Format (SRF) standard. BEAT sequences can be directly read by both humans and AI without parsing (Semantic), preserve information in their original state (Raw), and maintain a fully organized structure (Format). Distributing BEAT or modifications to this format specification must comply with GPL-3.0-or-later terms.
Resonator is the official reference implementation for interpreting BEAT and is licensed under the AGPL-3.0-or-later. This license applies across Finance, Game, Healthcare, IoT, Logistics, and other environments, and internal use is unrestricted. If BEAT-based logic, as defined and implemented, is provided to third parties, the AGPL-3.0-or-later source disclosure requirements apply.
BEAT is defined as an expressive format for structured semantics. Consistent interpretation of BEAT across different environments is also important to maintain semantic compatibility. Therefore, alternative implementations that claim equivalence are expected to use the Compatibility criteria provided below to verify interpretation consistency.
Compatibility: BEAT is considered compatible even if the tokens vary within Printable ASCII (0x20 to 0x7E) or the implementation differs, as long as event data is expressed using the sequential notation defined in the BEAT specification, preserves expressive semantics including but not limited to the space where events occur, the time when events occur, and the depth of each event, and maintains a substantially similar semantic stream regardless of how it is stored or transmitted. Semantic compatibility is determined by the semantic stream expressed within BEAT's eight-state (3-bit) semantic layout, irrespective of implementation details such as token choice, token order, token subsets, or storage representation. Any such compatible implementation constitutes a derivative work under copyright law and must comply with GPL-3.0-or-later terms.
See individual source files for detailed license information.
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