A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.
Cross-referenced across 55 tracked directories
#602
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
1/8/2026
First Seen
1
GitHub Stars
Score: 100/100
0 dependency vulnerabilities found
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
EcuaByte-lat
Cortex System: The Operating System for AI Engineering. Cure Technical Amnesia.
SufficientDaikon
[PAUSED] Autonomous Agent Orchestration Framework — multi-agent LLM coordination with 28 subsystems, built on Bun
Canner
Data API Framework for AI Agents and Data Apps
call518
🔍Professional MCP server for PostgreSQL operations & monitoring: 30+ extension-independent tools for performance analysis, table bloat detection, autovacuum monitoring, schema introspection, and database management. Supports PostgreSQL 12-17.
...more1/8/2026
Last Commit
Recently added to the ecosystem