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Search results for "sota"

11 results found
lad_mcp_serverπŸ“main@2026-04-20🌱 Seedling⭐21

Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.). Features multi-model consensus via OpenRouter and context-aware reviews via Serena.

cognitaπŸ“0.0.0🌳 Mature⭐4,419

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

memindπŸ“main@2026-04-21🌿 Growing⭐360

Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.

DeepClaudeπŸ“v1.0.1🌳 Mature⭐2,788

Unleash Next-Level AI! πŸš€ πŸ’» Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! πŸ“ Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! πŸ”Œ OpenAI-Compatible. οΏ½

NeuronFSπŸ“main@2026-04-21🌿 Growing⭐136

mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI β€” β‚©0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.

memory_agent_hubπŸ“main@2026-04-20🌱 Seedling⭐38

2026 swarm Agent 年,swarm Agent 、Agent team、 ai coding、skill、memory、evolve、agentic RL η­‰ AI Agentι›†εˆ

awesome-code-agentsπŸ“main@2026-04-20🌿 Growing⭐94

A curated list of products, benchmarks, and research papers on autonomous code agents. Beyond coding β€” they're redefining how software changes the world.

vector-graph-ragπŸ“v0.1.3🌱 Seedling⭐29

Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.

rag-chatbotπŸ“main@2026-04-14🌿 Growing⭐402

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

llm-agents.nixπŸ“assets🌱 Seedling⭐988

Nix packages for AI coding agents and development tools. Automatically updated daily.

KAGπŸ“v0.8.0πŸ’€ Dormant⭐8,668

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base