// SYSTEM STATUS: OPERATIONAL DAEMON: RUNNING PREVIEW: ACTIVE

Security-first
orchestration
for serious
local AI work.

CerbiBot is a security-first local AI orchestration platform with a daemon, operator dashboard, governed skills, project-scoped workflow control, and visible execution state. More control than a chat app. Less chaos than a loose agent stack.

[CERBIBOT-DAEMON]
RUN workflow-2847                                         [ACTIVE] ●
────────────────────────────────────────────────────────────────────────────
mode          consensus
agents        3 / 3 responding
heartbeat     1.8s ago                    [healthy] ●
provider      anthropic / claude-3-7      [routed]  ●
skill         research-deep               [approved] ●
memory scope  project-alpha               [isolated] ●

CHECKPOINT ─────────────────────────────────────────────────────────────────
consensus_reached
3 agents agreed on synthesis approach

ARTIFACT ───────────────────────────────────────────────────────────────────
analysis-report.md                                     [captured] ●

RUN workflow-2848                                         [ACTIVE] ●
────────────────────────────────────────────────────────────────────────────
mode          critique
agents        2 / 2 responding
heartbeat     0.9s ago                    [healthy] ●
provider      openai / gpt-5.4            [routed]  ●
skill         patch-review                [approved] ●
memory scope  infra-audit                 [isolated] ●

CHECKPOINT ─────────────────────────────────────────────────────────────────
critique_resolved
blocking issue cleared before artifact release

ARTIFACT ───────────────────────────────────────────────────────────────────
deployment-plan.md                                     [captured] ●

// WHAT IT IS

Built for control.

CerbiBot combines a local daemon API, an operator dashboard, CLI control, and governed execution for skills and risky actions. It is designed for people who want more control than a chat app and less chaos than an unstructured agent stack.

LOCAL DAEMON API

Run a persistent service managing AI orchestration with full control over your infrastructure.

OPERATOR DASHBOARD

Visual interface for monitoring runs, reviewing checkpoints, and managing provider configurations.

CLI CONTROL

Full command-line interface for scripting, automation, and integration with existing toolchains.

GOVERNED EXECUTION

Skill manifests, signing, validation, and approval-aware execution for stronger control.

// SECURITY AND CONTROL

Operator control by design.

[SECURITY-MODEL]
API ACCESS ............. bearer-token protected                   [●] OK
SENSITIVE ACTIONS ...... admin-password-gated                     [●] OK
PROJECT ISOLATION ...... per-project memory and session scope     [●] OK
SKILL VALIDATION ....... manifest-required, approval-aware        [●] OK
AUDIT VISIBILITY ....... full run log, checkpoints, blockers      [●] OK
EXPORT CONTROLS ........ export-aware execution paths             [●] OK

Structured Orchestration

Multiple execution modes handle different AI collaboration patterns with explicit operator control.

Visible Execution

Runs, checkpoints, heartbeats, blockers, and recovery state remain visible instead of opaque.

Reusable Skills & Artifacts

Skills and captured artifacts persist across workflows while staying bounded by operator-approved rules.

// EXECUTION MODES

Multiple modes. One system.

[MODE: SINGLE]

A single operator agent handles the task directly with the full local toolchain and audit trail intact.

agents
1
output
direct execution artifact
checkpoint
single-run completion gate
use cases
fast fixes, scripting, deterministic tasks
[MODE: CRITIQUE]

One agent produces a draft and a second pass challenges assumptions before the final artifact is released.

agents
2 staged passes
output
draft plus critique record
checkpoint
critique must resolve blockers
use cases
code review, risky edits, compliance checks
[MODE: RETRIEVAL]

Execution is grounded in project or external sources before synthesis, keeping responses tied to evidence.

agents
1 retrieval-driven path
output
source-backed response
checkpoint
retrieval coverage validated
use cases
docs lookup, research, repo audits
[MODE: DEBATE]

Competing approaches are argued in parallel so tradeoffs are visible before a decision is selected.

agents
2-4 opposing roles
output
tradeoff summary
checkpoint
winner selected after challenge
use cases
architecture choices, planning, validation
[MODE: CONSENSUS]

Multiple agents process the task independently, then converge on a synthesized response through a structured agreement step. Appropriate for high-stakes decisions where single-agent output carries risk.

agents
configurable (2-6 recommended)
output
synthesized consensus artifact
checkpoint
agreement threshold enforced before completion
use cases
analysis, research, validation, audit
[MODE: COUNCIL]

Specialized agents with distinct responsibilities report into a coordinating operator for controlled multi-role execution.

agents
role-based council
output
coordinated multi-agent plan
checkpoint
role approvals captured
use cases
large projects, orchestrated delegations, oversight

// TARGET OPERATOR

Built for people who run things.

  • Technical operators running local AI workflows
  • Builders who want repeatable, auditable orchestration
  • Developers who need execution visibility, not just outputs
  • Teams where governance and project isolation matter
  • Anyone who’s outgrown unstructured agent chaos

// CURRENT STATE

Public technical preview.

STATUS: OPERATIONAL

  • single, critique, retrieval, debate, consensus, council modes
  • Skill validation, testing, and signing
  • Run tracking with checkpoints and heartbeats
  • Project isolation and scoped memory
  • Artifacts, audit logging, and export controls
  • Dashboard + CLI
  • Provider controls and model routing
  • Delegation and remote-access surfaces

// VALIDATION — CURRENT PREVIEW

  • Live acceptance testPASS
  • Local pentestPASS
  • Dashboard typecheckPASS
  • Production buildPASS

// STILL EXPANDING

  • Expanded provider adapters
  • Broader connector coverage
  • Onboarding polish
  • Additional docs and packaging improvements
  • Additional operator UX refinement

// INSPECT THE STACK

One repo. Full visibility.

CerbiBot is published as a single monorepo so you can inspect the full local stack in one place: backend, dashboard, docs, and scripts.

[SETUP]
$ git clone [email protected]:RavenFrostStudios/Cerbibot.git
$ cd Cerbibot
$ bash scripts/run_local_stack.sh

// monorepo layout
backend/      orchestration daemon and APIs
dashboard/    cerbibot operator UI
docs/         feature and launch documentation
scripts/      local startup and shutdown