AgentIndex icon
AgentIndex
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompareGuides
Submit Tool
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompareGuides
Home/
RAG / Knowledge Base/
bagel
bagel logo

bagel

Active·★ 400·Apache-2.0·Updated 2026-10-19
★ Hidden Gem

Bagel enables users to query robotics, drone, and IoT data using plain English, performing calculations with auditable DuckDB SQL queries. It also features an intelligent edge data reduction pipeline to process data on the device and integrates with various LLMs for conversational data interaction.

bagel sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Ask in plain language, eliminating the need for deep domain expertise.. A representative use case is Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT).. The listed license is Apache-2.0. GitHub stars are currently 400. Relevant tags include Robotics, IoT.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Robotics#IoT#Data Analysis#Natural Language Query#Edge Computing#LLM Integration#Data Reduction#DuckDB
$ Install
$ git clone https://github.com/Extelligence-ai/bagel.git && cd bagel && docker compose run --service-ports ros2-kilted
↗ Visit site★ GitHub
01

Features

01Ask in plain language, eliminating the need for deep domain expertise.
02Transparent calculations using deterministic SQL queries, ensuring auditable results.
03Natural-language data reduction pipelines to process and keep only relevant event windows on the edge.
04Broad LLM support, integrating with models like Claude Code, Gemini, Cursor, Codex, and local LLMs.
05Extensible capabilities through POML files, allowing users to teach Bagel new tricks.
02

Why choose it

+Ask in plain language, eliminating the need for deep domain expertise.
+Transparent calculations using deterministic SQL queries, ensuring auditable results.
+Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT).
+Supports 4 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Docker
Containerization
Verified via docs
ROS (ROS1/ROS2)
Data Source
Verified via docs
LLMs (Multi-model)
LLM Integration
Verified via docs
05

Quick start

1
$ git clone https://github.com/Extelligence-ai/bagel.git
2
$ cd bagel
3
$ docker compose run --service-ports ros2-kilted
06

Use cases

↳Summarizing metadata and analyzing sensor data from various robotics, drone, and IoT data formats (e.g., ROS, PX4, MQTT).
↳Analyzing sensor data with natural language queries to find peaks, running averages, or cross-topic correlations.
↳Automating event detection and data snippet extraction (e.g., finding decelerations and cutting relevant time windows).
↳Monitoring and analyzing ROS text logs for errors and warnings without needing to open a bag file.
↳Implementing standing edge data reduction pipelines to continuously record, keep event windows, and drop the rest across a fleet of devices.
07

Alternatives

⚡Top VS:
VSarchi-mcp-server★35→VSmcp-duckdb-memory-server★59→VSknowledge-graph-system★129→VSextract-llms-docs★35→
archi-mcp-server logo
archi-mcp-server★ 35
Eclipse PDE plugin for Archi that exposes ArchiMate models via MCP protocol, enabling LLMs to query, analyse, and modify Enterprise Architecture models
VSCompare→
mcp-duckdb-memory-server logo
mcp-duckdb-memory-server★ 59
MCP Memory Server with DuckDB backend
VSCompare→
knowledge-graph-system logo
knowledge-graph-system★ 129
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
VSCompare→
extract-llms-docs logo
extract-llms-docs★ 35
Extract documentation for AI agents from any site with llms.txt support. Features MCP server, REST API, batch processing, and multiple export formats.
VSCompare→
seekstone logo
seekstone★ 34
The Obsidian MCP server that needs no plugin, no running Obsidian app — and doesn't blow your context window. Filesystem-direct, single-digit-ms search, ~2 KB payloads, 17 tools.
VSCompare→
searxng-mcp logo
searxng-mcp★ 25
Private web search MCP: SearXNG metasearch → ML reranking → 4-tier fetch cascade (Firecrawl / Crawl4AI / raw / Wayback) with per-domain learning, Ollama query expansion and synthesis. No cloud APIs.
VSCompare→
arxiv-reader-mcp logo
arxiv-reader-mcp★ 25
Want to search arXiv papers, fetch metadata, and extract full-text PDFs without leaving your editor? This MCP server connects any MCP-compatible client (Claude Code, etc.) directly to arXiv.
VSCompare→
azure-ai-search-foundry-iq-live-knowledge-sources logo
azure-ai-search-foundry-iq-live-knowledge-sources★ 17
Reusable accelerator for Foundry IQ live grounding with Fabric Ontology and MCP Server Knowledge Sources.
VSCompare→
See all alternatives →

Comments

Log in to leave a comment

No comments yet. Be the first!

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
Extelligence-ai /
bagel
↗

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

400Apache-2.0
Last commit3d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
Best by use caseAboutContactAdvertisePrivacy PolicyTerms of UseQYSGitHubBuy me a coffee ☕

Browse by Category

MCP ServersCode AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.