agent-library logo
agent-library
★ 33
vs
groundingLMM logo
groundingLMM
★ 969

agent-library vs groundingLMM

agent-library: Agent Library provides AI agents with persistent storage for text, documents, and knowledge using SQLite with vector search (sqlite-vec) and full-text search (FTS5). It supports hybrid search combining semantic and keyword matching, configurable embedding models, and offers both CLI and MCP server interfaces for integration.; groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.

01

TL;DR

agent-library logo
agent-libraryVision / Multimodal · ★ 33

Storing and retrieving agent memories across conversations

groundingLMM logo
groundingLMMVision / Multimodal · ★ 969

Interactive visual assistants that understand and respond to user queries about specific image regions.

02

Side-by-Side Comparison

Field
agent-library logoagent-library
groundingLMM logogroundingLMM
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 33
★ 969
License
Apache-2.0
Apache-2.0
Install Command
uv tool install 'agent-library[all]'
git clone https://github.com/mbzuai-oryx/groundingLMM.git
Updated
3w ago
1mo ago
Open Source
Yes
Yes
Tags
agent, agent-memory, agentic-ai
Multimodal AI, Computer Vision, Natural Language Processing
03

Features

agent-library logoagent-library
01Persistent knowledge storage for AI agents
02SQLite with sqlite-vec for vector search
03Full-text search using FTS5 with BM25 ranking
04Hybrid search combining semantic and keyword matching
05Configurable embedding models (local or OpenAI-compatible API)
groundingLMM logogroundingLMM
01Generates natural language responses seamlessly integrated with object segmentation masks.
02Supports a novel Grounded Conversation Generation (GCG) task with comprehensive evaluation protocols.
03Performs detailed Region-Level Captioning and answers reasoning-based visual questions.
04Excels in Referring Expression Segmentation by creating segmentation masks from text-based queries.
05Provides high-quality Image Captioning and Conversational Style Question Answering.
04

Use Cases

agent-library logoagent-library
↳Storing and retrieving agent memories across conversations
↳Searching documents, code, and PDFs with semantic understanding
↳Building context-aware AI assistants with persistent knowledge
groundingLMM logogroundingLMM
↳Interactive visual assistants that understand and respond to user queries about specific image regions.
↳Automated annotation tools for creating dense, pixel-level grounded datasets.
↳Advanced image analysis for tasks requiring both visual understanding and detailed textual descriptions with segmentation.
FAQ

FAQ

What is the difference between agent-library and groundingLMM?
Both agent-library and groundingLMM are in the Vision / Multimodal category. agent-library has 33 stars, while groundingLMM has 969 stars.
Which is better, agent-library or groundingLMM?
The best choice depends on your use case. Choose agent-library if Storing and retrieving agent memories across conversations, and groundingLMM if Interactive visual assistants that understand and respond to user queries about specific image regions..
Is agent-library free or open source?
Yes, agent-library is open source on GitHub (Apache-2.0).
Is groundingLMM free or open source?
Yes, groundingLMM is open source on GitHub (Apache-2.0).
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