GitHub AI/LLM/Agent Repositories
AI · · 2 min read · api.github.com ↗
GitHub Trending AI/LLM/Agent Repositories
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zavoryn/debug-mind (⭐ 1, Python) — AI-Powered Bug Diagnosis Agent with Experiential Memory — the more bugs it sees, the faster it gets.
https://github.com/zavoryn/debug-mind (updated 2026-05-23) -
mlflow/mlflow (⭐ 26072, Python) — The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
https://github.com/mlflow/mlflow (updated 2026-05-23) -
Axiumine/DEVPROTOCOL (⭐ 1, Python) — An AI-native software engineering methodology — phased LLM agents for architecture, domain design, and planning before dev starts.
https://github.com/Axiumine/DEVPROTOCOL (updated 2026-05-23) -
dograh-hq/dograh (⭐ 2554, Python) — Open Source Voice Agent Platform
https://github.com/dograh-hq/dograh (updated 2026-05-23) -
nik0811/agentic-swarm (⭐ 0, Python) — A plug-and-play SDK for building immortal, self-healing multi-agent AI systems
https://github.com/nik0811/agentic-swarm (updated 2026-05-23) -
llm-manus/llmmanus-py (⭐ 0, Python) — MoocManus is a commercial-grade general AI agent system built from scratch, benchmarked against core modules of Manus. Unlike passive Q&A or content-generation tools, it acts as an active executor that can independently think, plan, and accomplish complex real-world tasks end-to-end.
https://github.com/llm-manus/llmmanus-py (updated 2026-05-23) -
xhdlphzr/FranxAgent (⭐ 6, Python) — A simple and efficient AI Agent assistant
https://github.com/xhdlphzr/FranxAgent (updated 2026-05-23) -
froggychips/sre-ai-copilot (⭐ 0, Python) — AI-driven incident response copilot for Kubernetes. AlertManager webhook → agent pipeline (analyzer/hypothesis/critic/fix/risk) → human approval. FastAPI + Celery + LLM, k8s namespace guardrails.
https://github.com/froggychips/sre-ai-copilot (updated 2026-05-23) -
Arun-kc/schemabrain (⭐ 0, Python) — SQL-boundary safety layer for AI agents that touch real databases. Schema intelligence today; validate-before-execute + sub-query refusal in v2.
https://github.com/Arun-kc/schemabrain (updated 2026-05-23) -
dans-huang/plaud-supt-ai-ops (⭐ 0, Python) — A starter kit for running AI-augmented customer support operations. Governor LLM + 3 sub-agents + Slack approval pattern, battle-tested over 18 months.
https://github.com/dans-huang/plaud-supt-ai-ops (updated 2026-05-23) -
smartass-4ever/Mnemon (⭐ 3, Python) — Cut LLM agent token costs by 93%. Execution cache for LangChain, CrewAI, AutoGen — 2.66ms vs 20 seconds, zero tokens on repeat runs.
https://github.com/smartass-4ever/Mnemon (updated 2026-05-23) -
Mikeung/ai-operational-memory (⭐ 0, Python) — AI-driven operational memory and intelligence system for AI agent ecosystems. Continuously scans projects, reconstructs workflows, tracks LLM usage/costs, preserves operational knowledge, and generates actionable recommendations — all in a read-only, advisory-first architecture.
https://github.com/Mikeung/ai-operational-memory (updated 2026-05-23) -
shan305/cyclops-ai (⭐ 0, Python) — Fully local AI coding agent — plans, edits, verifies, and fixes code using only a local LLM. No cloud, no API keys, no rate limits. 89/100 on real-world benchmarks.
https://github.com/shan305/cyclops-ai (updated 2026-05-23) -
StephenDenisEdwards/micro-x-agent-loop-python (⭐ 1, Python) — A general personal assistant AI agent loop built with Python and using the Anthropic Claude or OpenAI and LLMs
https://github.com/StephenDenisEdwards/micro-x-agent-loop-python (updated 2026-05-23) -
HikaruEgashira/otel-hooks (⭐ 6, Python) — AI Agent hooks for LLM Observability.
https://github.com/HikaruEgashira/otel-hooks (updated 2026-05-23)