ContextWeaver: Orchestration Framework

An AI team construction platform leveraging Flowise to deploy diverse, capability-specific autonomous agents.

Crucial Note: Currently validated exclusively with Anthropic's model ecosystem. Validation Reference

What is ContextWeaver?

ContextWeaver is a systematic framework engineered for the orchestration of siloed AI agents. These specialized units collaborate dynamically to resolve intricate assignments. The foundational Model Context Protocol (MCP) furnishes these agents with a unified communication channel and a shared informational substrate, ensuring coherent and effective teamwork.

Deployment Instructions

bash

Obtain the source code

git clone https://github.com/mantrakp04/manusmcp.git cd manusmcp/pytools

Install prerequisites

npm i -g bun bash flowise.sh

Operationalizing the System

Method 1: Containerized Execution

bash cp .env.example .env docker-compose up -d

Method 2: Flowise Interface Setup

1. Access the Flowise management console via your web browser.
2. Navigate to the "Agentflows" section.
3. Initiate a new flow definition using the "Add New" button (top right).
4. Access the Settings panel (top right).
5. Select the Import option and load the v2.2 configuration file, then save.
6. Proceed to construct a new workflow, starting from the prerequisites detailed in STEP 2.
7. Integrate the v2.3 flow blueprint into your operational configuration.

[Optional] Inspecting the MCP Backbone Server

bash cd pytools bunx @modelcontextprotocol/inspector uv run manusmcp

Preferred execution runtime: bun

Community Contributions

This ecosystem is presently undergoing refinement, focusing on stabilizing core functionality. Areas ripe for collaborative enhancement include:

• Directive Refinement: Optimizing the textual instructions given to the AI entities for superior interaction results.
• Process Blueprinting: Improving the workflow definitions cataloged within Agents.json.
• Protocol Server Enhancement: Advancing the Model Context Protocol server logic located in .runtime/index.ts.

Please contribute by forking the repository, establishing a dedicated feature branch, and submitting a comprehensive pull request.

Referenced Material

• Huggingface community discussion snippet

Caveat

Active development and testing are presently concentrated on the main codebase branch.

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