Search results for "qa"
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
Build and run autonomous AI agents with OpenClaw, Hermes, multiple model providers, orchestration, delegation, memory, skills, schedules, and chat connectors.
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI),
A simple Zotero plugin that brings your own LLM into the side panel.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Give any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker comm
Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-us
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
Autonomous Agents (LLMs) research papers. Updated Daily.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A local-first, CLI-driven multi-agent AI software engineering workflow orchestrator with feed specs, PRDs, and guidelines to auto-generate implementation plans and code.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.
A plugin with compound engineering workflows and memory for AI coding agents
Convoke extends BMAD Method AI agents with two types of installable modules: Teams bring new agents for a domain, Skills add new capabilities to existing agents. Install them independently or combine
Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.
ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括359个大模型，覆盖chatgpt、gpt-5.2、o4-mini、谷歌gemini-3-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3-max、qwen3.5-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-k2.5、ernie4.5、Min
OpenClaw Q&A 社区 — AI Agent 记忆系统、多Agent架构、进化系统、具身AI | 龙虾茶馆 🦞
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
auto-wing is a tool that uses LLM to assist automated testing
Pi coding agent extension that allows Pi to autonomously control interactive CLIs in an observable overlay. Full PTY emulation, no tmux, token efficient. User can take over anytime.
Self-evolving cognitive memory and context engine for AI agents in Java. Empowering 24/7 proactive agents like OpenClaw with understanding and SOTA performance.
Self-hosted orchestration layer for autonomous AI agent teams. Shared memory, heartbeat scheduling, vault-first secrets, and cross-model peer review — one command to deploy.
autonomous AI agent that builds full-stack apps. local models. no cloud. no API keys. runs on your hardware.
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
FSPEC: The Spec-Driven, Multi-Agent Coding Factory. It is infrastructure for the "Dark Factory"—the emerging model of fully autonomous software development where AI agents handle all implementation wh
A curated list of products, benchmarks, and research papers on autonomous code agents. Beyond coding — they're redefining how software changes the world.
AI agent that implements your specs, opens PRs, and reviews code overnight. Queue GitHub issues or PRDs, wake up to pull requests.
Umple: Model-Oriented Programming - embed models in code and vice versa and generate complete systems. Save yourself lots of coding. Do it collaboratively online in UmpleOnline, in an IDE or on the co
META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
Unified framework for building enterprise RAG pipelines with small, specialized models
The Mind Palace for AI Agents — Autonomous Cognitive OS with affect-tagged memory (valence engine), token-economic RL (surprisal gate + UBI), Hebbian learning, ACT-R spreading activation, Synapse Engi
Must-read papers on Repository-level Code Generation & Issue Resolution 🔥
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework
Lightweight, embedded graph-based memory system for AI applications. Fast (<3ms recall), offline-first, with MCP server support for Claude and other AI tools.
Declarative Self Improving Elixir - DSPy Orchestration in Elixir
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
MCP Server for Computer Use in Windows
A robust framework for building AI agents with multi-provider LLM support
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
Transform Claude Code into a full development team. 11 specialized agents (Architect, Engineer, QA, Security, UX, DevOps, and more), persistent memory across sessions, and 25,000+ on-demand skills. Wo
MCAF is a framework for building software products together with AI coding agents.
Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local or cloud.
Claude Code skills collection — CCA study guides, Twitter research, MCP review, auto-iteration tools
A fully autonomous (no human-in-loop) agentic based project design and coding machine
Multi-agent system for software development
Provide token-efficient, distilled QA docs for AI coding agents to generate accurate test code quickly and reduce token usage significantly
AI co-pilot for ComfyUI — 113 tools for workflow authoring, model provisioning, and iterative rendering. Multi-provider (Claude, GPT-4o, Gemini, Ollama). Ships as MCP server or standalone CLI.
Coordinate AI agents to break down tasks, plan workflows, and delegate coding, design, and testing within OpenCode projects.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities
An automated, agentic exploratory testing tool that performs comprehensive QA testing on web applications, simulating human user interactions through various input methods (mouse, keyboard, TAB naviga
Self-hosted AI workflow orchestration server. Runs multi-phase LLM pipelines (Director → Architect → Implementer → QA) and delivers structured artifacts via PR, webhook, or bundle.
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mappi
Provide open-source AI bots for Lark to automate tasks like brainstorming, project planning, content creation, and monitoring within a secure chat interface.
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock
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
FlexRAG: A RAG Framework for Information Retrieval and Generation.
🤖🌊 aiFlows: The building blocks of your collaborative AI