A self-correcting system that consumes environmental data to optimize its own existence.
Simple Biosphere is an Organism, not just a tool. It is designed to decouple system scale from human cognitive load by architecting the evolutionary constraints within which software builds itself.
๐ Read the Mission Statement
Want to see the magic before you configure anything? Run the Quick Start wizard:
simple quick-startThis interactive demo will:
- Show you how the orchestrator delegates tasks to Aider, CrewAI, and v0.dev.
- Let you peek under the hood at the raw MCP communication.
- Generate a personalized configuration for your project.
๐ Read the Quick Start Guide
Ready to build your digital agency? ๐ Read the Comprehensive Getting Started Guide
Ready for production? Check out our real-world deployment playbooks:
- Startup MVP Playbook: From zero to k8s in a weekend.
- Enterprise Migration Playbook: Modernize legacy monoliths with zero downtime.
Simple Biosphere is a Framework-Agnostic Integration Engine.
Unlike traditional AI tools that lock you into a single model or framework, Simple Biosphere is designed to:
- โ Ingest any AI framework in hours, not weeks
- โ Digest and standardize via MCP (Model Context Protocol) servers
- โ Deploy as subordinate agents with shared memory and context
- โ Optimize token usage through smart routing and persistent memory
- โ Scale infinitely by adding new frameworks as they emerge
The Vision: A digital consulting agency that can adopt any new AI capability and make it an integral part of your workforceโfast, cheap, and with perfect memory.
Simple Biosphere allows you to "hire" and "equip" specialized digital workers for your projects:
- Persona-Driven Work (Skills): Define specialized roles like
LeadStrategist,SecurityAuditor, orUXResearcherusing the Skill system. - Hierarchical Delegation (OpenCowork): Spawn sub-agents with specific namespaces and toolsets to handle complex, specialized workstreams.
- Autonomous Evolution (ClawJit & ClawBrain): Agents that self-initialize their souls based on task intent and maintain persistent memory across sessions.
We prove our claims with data. The Simple Biosphere Performance Dashboard tracks our speed, efficiency, and cost against direct usage of other frameworks.
| Metric | Simple Biosphere | Direct Usage | Benefit |
|---|---|---|---|
| Integration Speed | < 2 min | Hours/Days | 98% Faster (Ingest-Digest-Deploy) |
| Context Efficiency | ~2% of Repo | 100% of Repo | 98% Token Savings (Shared Brain) |
| Research Cost | $0.05 | $0.20+ | 75% Cheaper (No redundant context) |
๐ View the Live Benchmark Dashboard
Scenario: You ask Simple Biosphere to refactor a legacy module while writing tests for it in parallel.
$ simple "Refactor src/legacy.ts to functional style and write tests for it. Do this in parallel."
โญโ ๐ค Simple Biosphere v0.2.8 โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ
โ โ
โ > Plan: โ
โ 1. Delegate refactoring of src/legacy.ts to DeepSeek Claude (Architect) โ
โ 2. Delegate test creation to Jules (Engineer) โ
โ 3. Monitor both tasks until completion. โ
โ โ
โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ
โ Delegate to Claude... [Started: Task-1049]
โณ Command: claude "Refactor src/legacy.ts to functional style" --async
โ Delegate to Jules... [Started: Task-1050]
โณ Command: jules "Write tests for src/legacy.ts based on new design" --async
โน [Supervisor] Monitoring background tasks...
โ Task-1049 (Claude): Refactoring function processData()...
โ Task-1050 (Jules): Scaffolding src/legacy.test.ts...
โ Task-1049 (Claude) completed. File src/legacy.ts updated.
โ Task-1050 (Jules) completed. File src/legacy.test.ts created.
โ Goal Achieved.
Don't just take our word for it. Run the Showcase Corp Demo to see the full "Digital Agency" capability in action. Watch as the agent ingests a company context, executes a project initialization SOP, and runs autonomous maintenance loopsโall in a simulated 24-hour cycle.
๐ View the Live Demo Documentation
# Run the simulation immediately
npm run demoSimple Biosphere's secret weapon is its ability to rapidly integrate any AI framework using a three-phase process:
- Analyze the framework's API, CLI, or SDK
- Understand its strengths, weaknesses, and ideal use cases
- Map its capabilities to MCP tool definitions
- Wrap the framework in an MCP server (
src/mcp_servers/<framework>/) - Create a unified interface that the orchestrator can call
- Add framework-specific optimizations (streaming, batching, caching)
- Register the new MCP server in
mcp.json - The orchestrator automatically discovers and uses it
- The framework becomes part of your digital workforce
Examples of Integrated Frameworks:
- Jules โ Autonomous GitHub PR agent (ingested in 2 days)
- Aider โ Rapid code editing specialist (ingested in 1 day)
- CrewAI โ Multi-agent research teams (ingested in 3 days)
- Kimi K2.5 โ Deep reasoning engine (ingested in 1 day)
- Devin โ Full-stack autonomous developer (ingested in 2 days)
Token Efficiency: All agents share a unified .agent/brain/ memory system, eliminating redundant context passing and reducing token costs by up to 70%.
Most AI tools trap you in a never-ending chat loop. Simple Biosphere is built for autonomous execution.
- Deployable Results: Give a high-level goal and walk away. The orchestrator handles the planning, delegation, and verification.
- Specialized Workforce: Hire
Julesfor GitHub PR surgery,DeepSeek Claudefor architectural heavy lifting, andAiderfor rapid-fire edits. - Ghost Mode: Your digital co-workers run 24/7. The
Smart Job Delegatorwakes up hourly to check the Roadmap and assign tasks while you sleep. - Recursive Optimization: The system performs weekly automated HR reviews to analyze logs and propose self-improvements.
- The Brain: Hybrid Memory Architecture (Vector + Graph) ensures your agents remember past solutions, user preferences, and project context forever.
- Parallel Productivity: Run a frontend refactor and a backend test suite simultaneously. Simple Biosphere manages the threads so you don't have to.
The core engine runs a "Game Loop" that uses an Asynchronous Task Manager to maintain context and execute jobs in parallel:
- Plans: Breaks high-level goals into sub-tasks.
- Delegates: Dispatches tasks using registered MCP agents (e.g.,
aider,claude,jules). - Monitors: Tracks the status of background jobs via the
AsyncTaskManager. - Reviews: Verifies the work (files, PRs) via a Supervisor loop.
Agents are configured in mcp.json in the project root. This file defines the available CLI agents and their commands.
Simple Biosphere wraps powerful industry CLIs into a unified interface via MCP Servers:
- Jules (
jules): An autonomous agent for GitHub PRs and full-stack tasks. - Claude (
claude): Wraps Anthropic's Claude for architectural reasoning. - Aider (
aider): Wraps the popularaiderCLI for rapid code editing. - CrewAI (
crewai): Orchestrates multi-agent research crews.
npm install -g @stan-chen/simple-biosphereCreate a .env file or export variables:
export OPENAI_API_KEY="sk-..."
export DEEPSEEK_API_KEY="sk-..."
export JULES_API_KEY="..." # Required for Jules agent
export ANTHROPIC_API_KEY="sk-..." # Optional if using direct Claude
export GH_TOKEN="..." # For GitHub operationsRun the interactive TUI. The orchestrator will act as your pair programmer.
simple "Refactor the auth system"You can explicitly tell the orchestrator to run tasks in parallel:
simple "Delegate the UI fix to Jules and the API tests to Aider in parallel."Simple Biosphere extends its capabilities via the Model Context Protocol (MCP). It includes several built-in MCP servers located in src/mcp_servers/:
- Brain (
brain): Provides episodic and semantic memory via Vector DB and Graph. - SOP (
sop): Manages and executes Standard Operating Procedures. - CapRover (
caprover): Manages CapRover deployments. - Cloudflare Browser (
cloudflare_browser): Web browsing capabilities via Cloudflare. - Coolify (
coolify): Integrates with Coolify for self-hosting. - CrewAI (
crewai): Orchestrates multi-agent crews (Researcher + Writer) for complex tasks. - Dokploy (
dokploy): Deployment automation with Dokploy. - Jules (
jules): Provides a bridge to the Jules API for autonomous PR creation and management. - Kamal (
kamal): Deploy web apps anywhere. - Kimi (
kimi): Integrates Kimi AI capabilities. - OpenClaw (
openclaw): Integrates OpenClaw skills (e.g., system tools, GitHub) into the workflow. - OpenCowork (
opencowork): Enables hierarchical agency by allowing the hiring and delegation of tasks to worker agents.
Simple Biosphere persists its memory and configuration in your project:
.agent/state.json: The Psyche (Personality, Trust, Irritation)..agent/brain/: The Core Memory (Vector DB + Graph) managed by the Brain MCP server..agent/learnings.json: Long-term memory of what works and what doesn't.
MIT ยฉ Stan Chen
