[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
A curated list of awesome LLM agents frameworks.
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Govern, Observe, Direct - a real-time control room for agent societies
Agent-driven automated CVE discovery platform for source code auditing, vulnerability verification, and report generation.
Autonomous LLM Trading Asterism — a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
Run Hermes Agent and OpenClaw on the same WeChat account
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
A distributed framework for LLM agents
HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
结合多大模型分析与确定性代码风控的自主量化交易系统 | Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
WikiSkill (arXiv:2608.27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent runs, isolated skill gating, and a documented live run log.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Inspect Codex / Claude logs, verify metering samples and re-count supported billing exports. Free local tools; bounded $10 diagnosis and $20 QA.
Code-only runtime toolkit for cost-aware multi-agent organization and control
把 dsh 会话变成合规、可复现、可追责的 AI 投研工作台:ai-hedge-fund 回测 + risk-gate 风控 + cron 盯盘 + 记忆复盘 | compliance-first AI investment desk
Updated weekly — until humanity achieves AI4AI. AI4AI Survey: can AI reliably improve AI? 223 papers on long-horizon agents, benchmarks, harness design, and recursive self-improvement.
Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
This 14 MB Agentic LLM(Cactus Needle 2) can control your phone completely.
Local-first YOLO workbench for annotation, training, evaluation, and AI assistance.
Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi K3.
Harness-Zero: Harness Distillation via Agent-as-Harness
A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
A minimal, readable agent-framework kernel — understand how LangGraph/ADK work under the hood. 1800行代码的 agent 框架内核,理解 LangGraph/ADK 底层的工作原理
Official Code for the paper "Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents "
AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI
A linked-list discipline for knowledge, memory and pointer hygiene in large projects: five laws plus portable Python engines (declarative rule table, dry-run health check, link-integrity scan).
SkillAdam: Better Skills for Your AI Agent🚀 Claude Code/Codex/Cursor 插件,一键进化你的skill
:dog: Beagle is designed to be the unified platform for the broader Recursive Self-Improvement (RSI) ecosystem. Think of it as Hugging Face Trainer for agent evolution. Its efficient rollout engine enables evaluation and evolution at scale across different agents, datasets, benchmarks, and evolution methods.
An agent skill that plays ARC-AGI-3. One rule: say what an action will do before you spend it. Claude Code on Opus 5 finished all 25 public games at 100.00 RHAE in 7,645 actions.
Draft a company ontology from an uploaded table or document, verify it against every row in code, and keep the person's judgement so the next upload of the same file starts from it
Step-by-step handbook for building autonomous security agents with clear limits, runnable lessons, diagrams, and honest evidence.
Cross-disciplinary, source-grounded paper deep-reading Agent Skill with vision/text-only routes, domain lenses, and evidence audits.
GUI / Computer-Use / Browser Agent 安全论文清单 —— 按攻防轴组织,每篇附中文简介
Official Repo for "AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach"
The bioinformatics agent desktop for clinicians and wet-lab scientists — built on DeepSeek Harness. One-click installers, a skill store, offline mode.
Official implementation of WHALE (Weight-Harness Alternating Learning)
AI Agent 实战手册 - 面向中文开发者的系统学习指南,从零搭建到生产部署
Evidence-driven autonomous SOC team on AgentTeams: hash-bound approvals, HMAC audit chain, rollback and reproducible attack scenarios — auditable governance primitives for agent infrastructure.
Native red, blue, and purple security-agent harness for CYBER-FROST
Production-grade SEO + GEO content factory for Claude Code — research, write, fact-check, optimize, publish to WordPress, monitor. Battle-tested by Loamwright 沃匠 SEO agency.
AI Agent Engineering 101 — SeoulTech 2026 Fall. Lecture notes and PR-based assignment submission.
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
Async Python bot that scrapes YouTube trends, analyzes viral strategies with Gemini LLM, and dispatches HTML reports to Telegram.
Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.
Can coding agents build the agent you actually want? A benchmark of 25 agent software engineering tasks across creation, editing and optimization.
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), default-FAIL verification against false completions, and KV-cache prefix design (21%→90%). Stdlib-only, real deepseek-chat runs
AI code review with DeepSeek: headless PR review automation that verifies PR descriptions claim-by-claim against real code, checks docs against reality, flags requirement impact, human-in-the-loop + auto review poller + web dashboard
Code repository for World Model From Scratch book
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
The Cost of Remembering: filesystem memory matches long-context accuracy on LongMemEval while reading 97% fewer tokens and costing 95% less. Harness, run data, 129 agent-built memories, and paper source.
给AI伴侣增强时间感的小器官(电脑端专用)