Xpersona

Crawler Summary

AIOS answer-first brief

Enterprise Multi-Agent RAG Assistant built using FastAPI, LangGraph, CrewAI, ChromaDB and Gemini API. AIOS – Enterprise Multi-Agent RAG Assistant AIOS is a scalable Multi-Agent Retrieval-Augmented Generation (RAG) platform designed to automate document retrieval, reasoning, and report generation. The system leverages a multi-agent architecture built using FastAPI, LangGraph, CrewAI, ChromaDB, and Gemini API to provide intelligent and context-aware responses. --- Overview AIOS combines multiple specialized AI agents t Capability contract not published. No trust telemetry is available yet. Last updated 5/28/2026.

Freshness

Last checked 5/28/2026

Best For

AIOS is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

AIOS

Enterprise Multi-Agent RAG Assistant built using FastAPI, LangGraph, CrewAI, ChromaDB and Gemini API. AIOS – Enterprise Multi-Agent RAG Assistant AIOS is a scalable Multi-Agent Retrieval-Augmented Generation (RAG) platform designed to automate document retrieval, reasoning, and report generation. The system leverages a multi-agent architecture built using FastAPI, LangGraph, CrewAI, ChromaDB, and Gemini API to provide intelligent and context-aware responses. --- Overview AIOS combines multiple specialized AI agents t

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 28, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/28/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 28, 2026

Vendor

Pranaviredd

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 5/28/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Pranaviredd

profilemedium
Observed May 28, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 28, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

User Query
     │
     ▼
 FastAPI API
     │
     ▼
Supervisor Agent
     │
 ┌───┴─────────┐
 ▼             ▼
Retrieval   Report
 Agent       Agent
     │
     ▼
 ChromaDB
     │
     ▼
 Gemini API
     │
     ▼
 Final Response

text

AIOS
│
├── app
│   ├── agents
│   │   ├── supervisor.py
│   │   ├── retrieval_agent.py
│   │   └── report_agent.py
│   │
│   ├── api
│   │   └── main.py
│   │
│   └── services
│       ├── vector_store.py
│       ├── gemini_service.py
│       └── pdf_loader.py
│
├── docs
│   └── architecture.md
│
├── .env.example
├── .gitignore
├── requirements.txt
└── README.md

bash

git clone https://github.com/pranaviredd/AIOS.git
cd AIOS

bash

pip install -r requirements.txt

env

GEMINI_API_KEY=your_api_key

bash

uvicorn app.api.main:app --reload

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Enterprise Multi-Agent RAG Assistant built using FastAPI, LangGraph, CrewAI, ChromaDB and Gemini API. AIOS – Enterprise Multi-Agent RAG Assistant AIOS is a scalable Multi-Agent Retrieval-Augmented Generation (RAG) platform designed to automate document retrieval, reasoning, and report generation. The system leverages a multi-agent architecture built using FastAPI, LangGraph, CrewAI, ChromaDB, and Gemini API to provide intelligent and context-aware responses. --- Overview AIOS combines multiple specialized AI agents t

Full README

AIOS – Enterprise Multi-Agent RAG Assistant

AIOS is a scalable Multi-Agent Retrieval-Augmented Generation (RAG) platform designed to automate document retrieval, reasoning, and report generation. The system leverages a multi-agent architecture built using FastAPI, LangGraph, CrewAI, ChromaDB, and Gemini API to provide intelligent and context-aware responses.

Overview

AIOS combines multiple specialized AI agents that collaborate to process user queries efficiently. The platform retrieves relevant information from documents, performs reasoning, and generates structured responses using Large Language Models.

The project demonstrates concepts such as:

  • Agentic AI
  • Multi-Agent Systems
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • LLM Integration
  • API Development
  • Scalable Backend Architecture

Key Features

  • Multi-Agent Workflow Architecture
  • Retrieval-Augmented Generation (RAG)
  • FastAPI Backend
  • ChromaDB Vector Database Integration
  • Gemini API Powered Reasoning
  • Modular Service-Oriented Design
  • Context-Aware Information Retrieval
  • Scalable and Extensible Architecture

Architecture

User Query
     │
     ▼
 FastAPI API
     │
     ▼
Supervisor Agent
     │
 ┌───┴─────────┐
 ▼             ▼
Retrieval   Report
 Agent       Agent
     │
     ▼
 ChromaDB
     │
     ▼
 Gemini API
     │
     ▼
 Final Response

Repository Structure

AIOS
│
├── app
│   ├── agents
│   │   ├── supervisor.py
│   │   ├── retrieval_agent.py
│   │   └── report_agent.py
│   │
│   ├── api
│   │   └── main.py
│   │
│   └── services
│       ├── vector_store.py
│       ├── gemini_service.py
│       └── pdf_loader.py
│
├── docs
│   └── architecture.md
│
├── .env.example
├── .gitignore
├── requirements.txt
└── README.md

Components

Supervisor Agent

Acts as the orchestrator of the system. It receives user requests and routes tasks to the appropriate agents.

Retrieval Agent

Responsible for retrieving relevant information from the vector database using semantic search techniques.

Report Agent

Processes retrieved information and generates structured reports and responses.

Gemini Service

Handles communication with Google's Gemini models for reasoning and content generation.

Vector Store

Manages document embeddings and semantic retrieval using ChromaDB.

PDF Loader

Loads and preprocesses PDF documents for indexing and retrieval.

Technology Stack

Programming Languages

  • Python
  • SQL

AI / GenAI

  • LangChain
  • LangGraph
  • CrewAI
  • Gemini API
  • Retrieval-Augmented Generation (RAG)

Backend

  • FastAPI
  • REST APIs

Vector Database

  • ChromaDB

Development Tools

  • Git
  • GitHub
  • Docker

Workflow

  1. User submits a query through FastAPI.
  2. Supervisor Agent receives the request.
  3. Retrieval Agent fetches relevant context from ChromaDB.
  4. Report Agent processes the retrieved information.
  5. Gemini API generates an intelligent response.
  6. Final response is returned to the user.

Installation

Clone Repository

git clone https://github.com/pranaviredd/AIOS.git
cd AIOS

Install Dependencies

pip install -r requirements.txt

Configure Environment Variables

Create a .env file:

GEMINI_API_KEY=your_api_key

Run Application

uvicorn app.api.main:app --reload

Future Enhancements

  • PDF Upload Interface
  • Real-Time Document Indexing
  • Multi-Document Retrieval
  • Agent Memory Management
  • MCP Integration
  • Redis-Based Caching
  • Docker Deployment
  • Kubernetes Deployment
  • Streamlit Dashboard

Learning Outcomes

This project demonstrates practical experience with:

  • Multi-Agent AI Systems
  • Agentic Workflows
  • Retrieval-Augmented Generation
  • Large Language Models
  • Vector Databases
  • Backend API Development
  • Software Architecture Design

Author

Pranavi Reddy Miriyala

B.Tech – Artificial Intelligence and Data Science
VNR VJIET, Hyderabad

GitHub: https://github.com/pranaviredd

License

This project is licensed under the MIT License.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-08T22:20:26.062Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Pranaviredd",
    "category": "vendor",
    "href": "https://github.com/pranaviredd/AIOS",
    "sourceUrl": "https://github.com/pranaviredd/AIOS",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-28T06:07:10.133Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-28T06:07:10.133Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranaviredd-aios/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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Ads related to AIOS and adjacent AI workflows.