CrawlLama 🦙 is an local AI agent that answers questions via Ollama and integrates web- and RAG-based research.
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Updated
Jun 2, 2026 - Python
CrawlLama 🦙 is an local AI agent that answers questions via Ollama and integrates web- and RAG-based research.
Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallback tools. Features Long-term memory with SQLite, dynamic tool routing, and state reasoning for reliable, context-aware consultation.
Stateful AI Agent for Knowledge Extraction
One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 41 MCP tools. Local-first, LanceDB-backed.
Terminal based chat implementation of ARK agent
PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. It offers templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning.
AgriIR: Configurable RAG framework for domain-specific knowledge retrieval in agriculture. Features 6-stage pipeline, deterministic citations, and domain-specific agents. ECIR'26.
A local Retrieval-Augmented Generation (RAG) system for answering questions about TouchDesigner using wiki pages, tutorials, and other structured or semi-structured content. Powered by FAISS and local LLMs via Ollama.
Code to make any AI have unlimited context persistent memory. In the example, a software for any AI to read the Uniform Commercial Code of Michigan. A document of 220,000 tokens
Notebook examples for using OpenAI's Assistants API with the file search (knowledge retrieval) functionality.
Sub-linear knowledge retrieval via quantum-inspired hyperdimensional folded space (0.88ms @ 100% accuracy)
GenPark skill: Automate enterprise project management and query workspace knowledge bases using ClickUp's hierarchy APIs.
⚡️ Local RAG API using FastAPI + LangChain + Ollama | Upload PDFs, DOCX, CSVs, XLSX and ask questions using your own documents — fully offline!
OllamaMulti-RAG 🚀 is a multimodal AI chat app combining Whisper AI for audio, LLaVA for images, and Chroma DB for PDFs, enhanced with Ollama and OpenAI API. 📄 Built for AI enthusiasts, it welcomes contributions—features, bug fixes, or optimizations—to advance practical multimodal AI research and development collaboratively.
Local-first, multilingual evidence-backed memory sidecar for AI agents.
KakaoBank public-document corpus and manual tau3-style banking knowledge tasks.
Self-healing RAG system that retrieves, verifies, and grades its own answers. Automatically rewrites queries and retries when outputs are weak, ensuring accurate, hallucination-free responses.
(ACL 2026 Main) Mitigating Legal Hallucinations via Symbolic Constraints and Analogical Precedents
Visualize and diagnose OpenClaw context windows to identify token usage, file health, and available space for conversation.
A command-line search tool that runs two search modes against a local corpus of plain text documents — inverted index keyword search and vector-based similarity search — so both modes can be demonstrated and compared side by side.
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