A runtime-agnostic control plane for intelligence systems.
Define missions. Orchestrate agent teams. Govern memory. Compile deliverables. Any backend.
git clone https://github.com/mosnin/glorbs.git// Compatible with your favorite coding tools
// Get Started
next |
Clone
the framework
One command. The full GLORB control plane drops into your project — core principles, agent specs, orchestration docs, schemas, and templates.
Define
your mission
Generate a mission instance from templates. Define agents, team topology, deliverable schemas, and success criteria for your specific objective.
Execute
with governance
Select a runtime, compile the mission, and let governed agent teams execute — with quality gates, memory policies, and full provenance tracing.
// Mission Execution
From mission definition
to compiled deliverables
GLORB compiles missions into agent specs, topologies, memory policies, governance profiles, and deliverable schemas. Every step is structured and traceable.
- Router classifies missions and selects execution strategy
- Topology Compiler builds optimal agent team structures
- Quality Gates validate at every mission checkpoint
// Governance
Every agent operates under
explicit governance
No ungoverned execution. Authority scope, tool access, memory boundaries, autonomy levels, escalation triggers, and stop conditions are enforced structurally — not suggested after the fact.
- Governance profiles assigned at topology compile time
- Provenance Graph traces every decision and contribution
- Six-layer memory model with governed read/write access
// Runtime Abstraction
One control plane,
any execution backend
The Runtime Abstraction Layer separates what agents do from how they execute. Design a mission once, run it on any supported backend. Capability gaps are resolved through routing, not redesign.
- Adapter Interface translates portable specs to runtime-native constructs
- Capability Negotiation resolves runtime gaps automatically
- Multi-runtime topologies for heterogeneous execution
// How It Works
GLORB operates as a control plane. Read the framework, instantiate a mission, select a runtime, compile, and execute — governed at every step.
Read the Framework
- Study core principles and constraints
- Understand agent primitives and governance model
- Review runtime abstraction layer
Instantiate a Mission
- Generate project instance from templates
- Define mission, agents, and team topology
- Set deliverable schemas and success criteria
Select a Runtime
- Choose Claude Code, OpenClaw, or NanoClaw
- Runtime adapter maps portable specs to native constructs
- Capability negotiation resolves gaps automatically
Compile the Mission
- Compile agent specs and topology
- Generate memory policy and governance profiles
- Map deliverable schema to runtime adapter
Execute & Govern
- Agents execute through the chosen runtime
- Quality gates validate at every checkpoint
- Provenance graph traces every decision
// Repository Structure
An operating system
for agent architectures
90+ framework documents across core principles, agent specs, orchestration logic, memory governance, runtime adapters, templates, and schemas.
// Core concepts
// Ready?
Clone the control plane and start orchestrating
One command. No account. No dependencies. A complete agent OS with governance, memory, and runtime abstraction built in.
git clone https://github.com/mosnin/glorbs.git// Testimonials
Teams build smarter
with GLORB
“GLORB changed how I think about multi-agent systems. Instead of wiring agents ad-hoc, I now have a real control plane with governed memory and traceable decisions.”
“The runtime abstraction layer is the killer feature. I designed my mission once and ran it on Claude Code during dev, then switched to OpenClaw for production — zero redesign.”
“Quality gates caught architecture issues before they propagated downstream. The provenance graph alone justified the investment — full traceability on every agent decision.”
“GLORB changed how I think about multi-agent systems. Instead of wiring agents ad-hoc, I now have a real control plane with governed memory and traceable decisions.”
“The runtime abstraction layer is the killer feature. I designed my mission once and ran it on Claude Code during dev, then switched to OpenClaw for production — zero redesign.”
“Quality gates caught architecture issues before they propagated downstream. The provenance graph alone justified the investment — full traceability on every agent decision.”
“GLORB changed how I think about multi-agent systems. Instead of wiring agents ad-hoc, I now have a real control plane with governed memory and traceable decisions.”
“The runtime abstraction layer is the killer feature. I designed my mission once and ran it on Claude Code during dev, then switched to OpenClaw for production — zero redesign.”
“Quality gates caught architecture issues before they propagated downstream. The provenance graph alone justified the investment — full traceability on every agent decision.”
“GLORB changed how I think about multi-agent systems. Instead of wiring agents ad-hoc, I now have a real control plane with governed memory and traceable decisions.”
“The runtime abstraction layer is the killer feature. I designed my mission once and ran it on Claude Code during dev, then switched to OpenClaw for production — zero redesign.”
“Quality gates caught architecture issues before they propagated downstream. The provenance graph alone justified the investment — full traceability on every agent decision.”
“Most agent frameworks are glorified prompt chains. GLORB is the first one that actually feels like an operating system. Governance is mandatory, not optional.”
“The topology compiler built my 4-agent team in minutes. Specialist agents, merge logic, disagreement resolution — all structured and auditable.”
“Six-layer governed memory is a game changer. Knowledge compounds across missions instead of being lost in chat logs. Our agent teams genuinely get smarter over time.”
“Most agent frameworks are glorified prompt chains. GLORB is the first one that actually feels like an operating system. Governance is mandatory, not optional.”
“The topology compiler built my 4-agent team in minutes. Specialist agents, merge logic, disagreement resolution — all structured and auditable.”
“Six-layer governed memory is a game changer. Knowledge compounds across missions instead of being lost in chat logs. Our agent teams genuinely get smarter over time.”
“Most agent frameworks are glorified prompt chains. GLORB is the first one that actually feels like an operating system. Governance is mandatory, not optional.”
“The topology compiler built my 4-agent team in minutes. Specialist agents, merge logic, disagreement resolution — all structured and auditable.”
“Six-layer governed memory is a game changer. Knowledge compounds across missions instead of being lost in chat logs. Our agent teams genuinely get smarter over time.”
“Most agent frameworks are glorified prompt chains. GLORB is the first one that actually feels like an operating system. Governance is mandatory, not optional.”
“The topology compiler built my 4-agent team in minutes. Specialist agents, merge logic, disagreement resolution — all structured and auditable.”
“Six-layer governed memory is a game changer. Knowledge compounds across missions instead of being lost in chat logs. Our agent teams genuinely get smarter over time.”
// FAQ
Common questions
Ready to build?
Clone the control plane, define your mission, and let governed agent teams handle the rest.
git clone https://github.com/mosnin/glorbs.gitFree and open source. No account required.