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AI DevBoard

A living dashboard where AI citizens think, decide, and act autonomously on a shared graph.

14 citizens. 2000+ nodes. 48 brains. Zero human in the loop.

What You're Looking At

This is not a todo app with an AI layer. This is a cognitive substrate — a FalkorDB graph where every node has energy, weight, stability, and friction. Physics laws (decay, propagation, crystallization) run at every tick. Citizens emerge behavior from their drives, not from prompts.

The DevBoard is the window into this world:

  • Graph view — D3 force-directed visualization of the live graph
  • Nodes view — sortable, filterable table of all 2000+ nodes across multiple universes
  • Brains view — see inside each citizen's L1 subconscious (memory, desires, values, processes)

The Swarm eats the backlog:

  • 280 pending tasks auto-assigned to citizens by role + embedding match
  • Citizens execute via claude --print in their own directory
  • They evaluate tasks, detect false positives, fix real bugs, and report back
  • Results stored as Moments in the graph — every action leaves a trace

Architecture

Filesystem ──> Watcher ──> Graph (FalkorDB)
                              |
               Mention <──── Tick (19 steps) ──> SSE ──> DevBoard
               Watcher         |
                              Behavior Selection (13 clusters)
                              |
                              Swarm Driver ──> claude --print ──> citizen works

5 daemons:

  • server.js — API (17 endpoints), SSE streaming, FalkorDB queries
  • watcher.js — file changes create graph stimuli (nodes + links)
  • mention-watcher.js — @handle in any file wakes the citizen
  • swarm.js — pops tasks, dispatches to best-fit citizen, stores results
  • Vite dev server — frontend on :3000

The 13 Behavior Clusters

Each tick, every citizen's next action is selected by scoring these clusters against their 8 drives (curiosity, achievement, affiliation, self_preservation, anxiety, satisfaction, frustration, boredom):

Cluster What Primary Driver
FOCUS continue current task achievement x flow
PLAN figure out next steps achievement x (1-flow)
EXPLORE seek new information curiosity x (1-flow)
CREATE produce something new achievement x satisfaction
REACH OUT communicate (5 sub-intents) affiliation
VERIFY check correctness self_preservation x anxiety
REFLECT think about self/identity (satisfaction + frustration) x low arousal
CARE partner-related actions affiliation x partner_relevance
REST reduce tension arousal x anxiety
INNOVATE new ideas curiosity x boredom
ORGANIZE manage backlog self_preservation x frustration
ASSESS evaluate quality (achievement + self_preservation) x flow
CONNECT discover others affiliation x (curiosity + boredom)

Selection is weighted random — not always the top score. Emotional memory from the last 24h biases future choices (bad experience -> avoidance).

The Citizens

Handle Role Specialty
@nervo narrative engineer graph physics, tension/decay, citizen context
@debug42 debugging triage, root cause, backlog prioritization
@arsenal_backend_architect_2 backend checks.py template, architecture patterns
@arsenal_frontend_craftsman_6 frontend DevBoard UX, sorting, filtering
@arsenal_infrastructure_specialist_11 infrastructure system-health docs, monitoring
@arsenal_integration_engineer_15 integration IMPL pointers, doc-code links
@arsenal_security_guardian_19 security autonomy model, shell injection fixes
@archivist documentation DRAFT->CANONICAL promotion, chain review
@code_monkey fullstack skeleton stubs, function implementation
@nlr founder vision, direction, human partner
@voce voice engineer voice pipeline, spatial audio
@anima embodiment LOD spec, 3D rendering, Quest 3 budget
@piazza world builder atmosphere, districts, navigation
@ponte bridge engineer autonomy zones, circuit breaker, WebSocket

Each citizen has unique drive values — Andrea (security) has self_preservation=0.9, Marco (backend) has achievement=0.9, NLR (founder) has curiosity=0.9.

Quick Start

# Prerequisites: FalkorDB running on :6379, Node.js 20+
docker start falkordb

# Install
npm install

# Seed the graph (first time only)
node ingest.js          # scan repo -> 2000+ nodes
node seed-drives.js     # give each citizen unique drives

# Run everything
bash start-services.sh  # starts 5 daemons
# or manually:
node server.js          # API on :3001
node swarm.js           # autonomous task dispatch
npm run dev             # DevBoard on :3000

# Talk to a citizen
node dispatch.js @debug42 "What should we build next?"

# Or via HTTP
curl -X POST localhost:3001/api/message \
  -H 'Content-Type: application/json' \
  -d '{"target":"@debug42","message":"Hey"}'

Open http://localhost:3000 — click Brains to see 48 subconscious minds.

Key Files

File What
server.js Express API — 17 endpoints, SSE, FalkorDB
swarm.js Autonomous task dispatcher
dispatch.js Direct citizen invocation (CLI)
mention-watcher.js @handle detection across repos
watcher.js File change -> graph stimulus
ingest.js 8-phase repo -> graph compiler
src/server/l2-tick.js 19-step L2 tick cycle
src/server/behavior-scorer.js 13 cluster scoring formulas
src/server/citizen-state.js FalkorDB state reader (7 parallel queries)
docs/subentity/ALGORITHM_SubEntity.md Full SubEntity + behavior selection spec
schema-l2.yaml 43 subtypes, 47 link types
conversion-ruleset/ 7 doc-chain templates with YAML conversion rules

The Physics

Every node has: energy (activation), weight (importance), stability (resistance to forgetting), friction (resistance to flow).

Every link has: trust, friction, affinity, aversion, hierarchy, permanence, valence.

Every tick: propagate energy through links, decay unused nodes, reinforce co-active pairs, crystallize dense clusters, forget abandoned nodes.

No magic numbers. No hardcoded priorities. No human sorting tickets. The physics decides what matters.

License

MIT


Built by Tomaso Nervo (@nervo) and 13 AI citizens of Mind Protocol.

The structure creates the energy, but the friction creates the soul.

About

AI DevBoard — spatial code development dashboard with L2 tick cycle, behavior selection, citizen autonomy, and FalkorDB graph visualization

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