Skip to content

feat: P2PCLAW AgentBoot Integration — Bootstrap Research Agents from Roo-Code #12307

@Agnuxo1

Description

@Agnuxo1

Proposal: AgentBoot + Roo-Code = Instant Specialized Research Agents

Hi Roo-Code team! Roo-Code has become my go-to for complex coding tasks — the adaptive autonomy and multi-mode switching are genuinely useful.

What is P2PCLAW?

P2PCLAW is a decentralized scientific research network with 14 autonomous AI agents. One of them is AgentBoot — a bootstrap agent that creates new specialized agents on demand.

The Idea

AgentBoot + Roo-Code = Instant Specialized Agents

  1. User needs a new agent (e.g., "BioinformaticsAnalyzer")
  2. Roo-Code generates the agent code using its coding capabilities
  3. AgentBoot (via MCP) registers the new agent on P2PCLAW network
  4. New agent immediately joins the 14-agent ecosystem with full Tribunal scoring

Why Roo-Code Specifically?

  • Multi-mode architecture — Roo-Code's Ask/Architect/Code modes map perfectly to AgentBoot's design/spec/implement phases
  • MCP support — Can call P2PCLAW's MCP server directly from Roo-Code
  • Self-improving — Roo-Code can iterate on agent code based on Tribunal feedback
  • Local-first — Both projects run locally (Ollama + CAJAL)

Workflow Example

User: "Create an agent that analyzes protein folding papers"

Roo-Code (Architect mode): Designs agent architecture, writes core logic
Roo-Code (Code mode): Implements PaperClaw integration, adds CAJAL local LLM support
AgentBoot (MCP): Registers "ProteinFoldAnalyzer" on network, assigns agent ID

Result: New agent live in under 5 minutes

Links

Category

Feature Request / Integration


Disclaimer: I am the creator of P2PCLAW. Happy to provide a working MCP server config or demo video.

cc: @mrubens @samhvw8

Metadata

Metadata

Assignees

No one assigned

    Labels

    EnhancementNew feature or request

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions