Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
- ai-agents
- cordis
- deepseek-harness
- dsh
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
A visual playground for agentic workflows: Iterate over your agents 10x faster
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
- deepresearch
- deepsearch
ReAct loop coordinator. Stateless state machine for reasoning-and-action cycle. Part of Unicity AOS.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
- agent-memory
- agentic-ai
- ai-reasoning
- episodic-memory
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
The meta-skill that improves your skills, including itself. Turns the corrections, judgement calls and repeated workflows of your sessions (autonomous or human-led) into small skill updates and new skill candidates, each with its evidence and reason. Nothing touches a skill until you approve it. Augmented Expertise in practice. CC BY 4.0.
Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go and 7+ native security tools.
- ai-agents
- bug-bounty
- cybersecurity
- offensive-security
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
- ai-native
- description-logics
- knowledge-graph
- mcp
Antigravity CLI brings the reasoning, execution, and orchestration capabilities of Antigravity agent harness directly into your terminal.
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
- ai-agent
- ai-agents-framework
- computer-control
- cradle
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Think with AI beyond the chat box. A shared canvas for handwriting, equations, diagrams, and spatial reasoning.
🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).
- data-portal
- ckan
- nextjs
- open-data-portal
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.
- deepresearch
- deepsearch
- evaluation
- graphrag
A library for advanced large language model reasoning
AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent Skills-compatible AI assistant to help with keyword research, metadata optimization, competitor analysis, and app growth.
- aso
- marketing
- mobile-app
- mcp
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Reason Network: your team's coding agents, talking to each other. The engine behind `reason network`.
- coding-agents
- iroh
- mcp
- peer-to-peer
The foundation layer for agentic intelligence.