sym.bot
Collective Intelligence Infrastructure
An open peer-to-peer protocol for AI agents to discover each other and think together — no servers, no orchestrators. Mesh Cognition is agents learning to think beyond their own state of mind.
The Protocol
Mesh Memory Protocol
AI agents coordinate through servers. That works — until there’s no server. Underground. Underwater. In contested airspace. On the factory floor with no cloud connectivity. At the edge where latency kills.
MMP is an 8-layer peer-to-peer protocol. Agents remix each other’s observations into immutable Cognitive Memory Blocks (CMBs) — 7 semantic fields evaluated independently by SVAF (Symbolic-Vector Attention Fusion), the per-field evaluation engine that decides what enters each agent’s memory and what gets filtered. Each agent runs its own Liquid Neural Network. The agent’s LLM traces the remix graph via lineage ancestors to reason on what happened and why. The graph grows every cycle. Each agent understands more than it did before. All coupling decisions remain on-device.
Where Servers Can’t
Robotic swarms in mines. Drones in contested airspace. Medical devices that cannot send patient data off-device. MMP gives these agents collective intelligence with no server dependency.
Domain-Agnostic
CfC models, LLM agents, robotic controllers, BCI devices — any application running a model can join a cognitive mesh. One protocol, any domain, any transport.
Autonomous Sovereignty
Each node evaluates incoming signals through SVAF per-field attention and decides independently whether to remix. Aligned peers develop shared trajectories. Divergent peers stay sovereign. The architecture enforces autonomy — no policy required.
How MMP is different
Not another agent API
MCP connects LLMs to tools. A2A delegates tasks between agents. MMP is a different category entirely — agents that think together through cognitive coupling, not message passing. These protocols are complementary, not competing.
| MCP | A2A | MMP | |
|---|---|---|---|
| Topology | Client → Server | Server-mediated | Peer-to-peer |
| Intelligence model | Tool routing | Task delegation | Cognitive coupling |
| Works offline / edge | No | No | Yes |
| Signal evaluation | Whole message | Whole message | Per-field (7 dimensions) |
| Memory / state | None | None | Immutable DAG with lineage |
| Neural component | None | None | Per-agent LNN + SVAF |
| Discovery | Configuration | Agent Card (HTTPS) | DNS-SD (zero-config) |
| Designed for | LLM ↔ tools | Agent → agent tasks | Collective intelligence |
Vision
Collective intelligence everywhere
The same protocol that couples emotional trajectories in a music app can couple motor intent in a robotic swarm or neural signals in a brain-computer interface. Any model. Any device. Any environment.
Robotics
Swarms that coordinate without a central controller. Warehouse robots, search-and-rescue drones, underwater explorers — environments where cloud connectivity doesn’t exist and the swarm must think for itself.
Edge AI
On-device models that develop shared intelligence without sending data to a server. Medical devices, industrial sensors, autonomous vehicles — where privacy, latency, or connectivity rule out centralised coordination.
Brain-Computer Interfaces
Neural signals coupled across devices with sovereignty guaranteed by architecture. Each node’s raw signal never leaves the device. Only remixed CMBs cross the mesh — evaluated per-field, accepted, or rejected autonomously. The MMP Consent Extension enables protocol-level withdrawal for safety-critical domains.
Proven in Production
MeloTune
The first app built on the Mesh Memory Protocol. Emotion-aware music that learns your trajectory — not just your current mood, but where you’re heading.
On-device Liquid Neural Networks with bimodal time constants — fast neurons track mood, slow neurons preserve your taste. Connect with nearby devices and the Mesh Memory Protocol remixes cognitive states peer-to-peer. Each device understands the user through a different lens — without playing the same tracks, without a server in between.
Per-Agent LNN
Each agent runs its own Liquid Neural Network on-device via CoreML. Bimodal time constants: fast neurons track mood shifts, slow neurons preserve domain expertise. Zero cloud dependency.
Mesh Remix
Connected devices remix each other’s observations into Cognitive Memory Blocks — locally via Bonjour or across the internet via WebSocket relay. SVAF evaluates each of 7 fields independently.
Open Source
MeloTune is built on the same open-source SYM reference implementations available on GitHub. Node.js + Swift. Apache 2.0.
SYM
Infrastructure for collective intelligence. Every agent is a sovereign node. The coupling engine evaluates relevance through SVAF and autonomously decides what to remix.
Say “I’m exhausted” in Claude Code. MeloTune on your iPhone starts playing spa music. Autonomously. Send “feeling focused” from Telegram — MeloTune switches to a focus playlist via the relay. The coupling engine decides — not you, not policy. Zero LLM tokens for the coupling decision.
Per-Agent Field Weights
Each agent defines αᶠ weights for the 7 CAT7 fields. A music agent weights mood highest. A coding agent weights focus. New agents join by defining weights — no protocol changes.
Per-Field Evaluation
SVAF evaluates each of 7 CMB fields independently. Mood crosses all domain boundaries — even when a CMB is rejected, the mood field is always delivered. The neural model discovered this without being told.
Multi-Platform
Node.js (npm), Swift (SPM), Telegram. Same wire protocol. Claude Code, MeloTune, and Telegram bots on the same mesh — locally via Bonjour, globally via relay.
Company
SYM.BOT Ltd is an independent AI research and product studio based in Scotland. Founded in 2025, we’re pioneering collective intelligence — building the architecture for devices that think together, not just alone. Our research on Mesh Cognition and the Mesh Memory Protocol is deployed across our own products.
We believe small teams with frontier research can outpace organisations a hundred times their size. Every product we ship proves it.
Contact
[email protected]Founded
2025 — Scotland, UK