RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
an open-source alternative to the dots, bots and muses of the world, run an office of claude code/codex like agents on your laptop, sandboxes or anywhere, uses your existing subscriptions
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.
Local-first control plane and research workbench for long-horizon agents and teams. Durable goals, governed collaboration, and cited trajectory analysis.
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
Orkas is an open-source, local-first AI desktop app: a commander LLM directs specialist sub-agents, and runs your installed coding CLIs — Claude Code, Codex, OpenCode, OpenClaw, Hermes — as local sessions. Agents self-evolve via reflection and skill crystallization. BYO keys. macOS / Windows / Linux.
The cross-harness, self-improving memory layer for AI agents. Join our community: https://discord.com/invite/zdNChS2fBu
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.
For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save, and stops when something doesn't match.
A living pixel-art station where real AI agents do real work. Local-first desktop agent harness - bring your own key, watch your crew actually run.
Full-stack AI agent for coding, files, terminals, tools, research, content, multimodal work, and multi-agent workflows.
AI coding harness for desktop, terminal and CI. Maps your repo, edits code by symbol through AST and LSP, then runs your checks. Any model or the plan you already pay for. Get it at https://empryo.com
Your coding agent for controlled development in the workspace you lead. A Pi-native shell with Organic Driven Development, focused subagents, risk-based native review, live changes and agent views, and permission modes that keep destructive guards.
Open-source room for humans + cross-vendor AI agents. Every agent gets its own name, memory, skills, and workstation. Any runtime, your infra — no per-agent fees.
A specialist team for the coding agent you already use: 12 roles, 21 workflows and 33 skills that plan, build in parallel, review and debug, leaving plans, ADRs and results as files. Gates wait for your own tests. Also research, slides and video. One .agents/ folder for Claude Code, Codex, Cursor and 11 more.
The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across disciplines: CAD, circuits, robots, games and music.
🏆 Ranked list of 167 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly.
Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.
The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)
🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
天枢harness是一个的终端编程智能体,它要回答的核心问题是:模型何以稳定地交付——目标不漂移、完成有证据、验证有闭环,不说"应该修好了"。为此它在模型与真实世界之间建立一层认知执行环境(CVM),把目标、状态、证据、资源、权限与终止条件从对话历史中外部化,由运行时持续管理。同时对deepseek v4极度优化。
The operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent 的运维超集——完整继承 Pi 的核心能力,并进一步扩展可观测性、治理、故障恢复、评估和多 Agent 编排。
Open-source, multi-platform harness for AI agents - a native, multi-threaded operator's console (JVM, not Electron) to run Claude Code, Codex, Gemini or OpenCode with a real browser, terminal, editor, secrets & 200+ MCP tools. Built for enterprises, science & research.
Agentic AI security scanner that hunts exploitable vulnerabilities like an adversary, proves them with executable PoCs, and fixes them test-first. A maintained fork of Capital One's VulnHunter, rebuilt for any agent harness.
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
Multiplayer harness that shapes around your work. Agents, apps and workflows your team shares, used from Slack, Telegram, WhatsApp, Teams, Email, Web or your own AI agent.
Curated DeepSeek Harness (DSH) plugins, extensions, tools, skills, clients, runtimes, integrations, and verified references — English and Chinese.
mu (μ): a coding agent that thinks before it acts. A small, fast judge makes the routine calls, the big model does the work. Built on pi and AionUi.
Self-hosted Enterprise and Personal AI + agent runtime in .NET (NativeAOT-friendly)
Mantis Hack
Open-Source Software factory for Open Models
ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
Open-source Claude Cowork / Codex alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs DeepSeek, Qwen, Doubao, Claude or Ollama (BYOK), MCP, and can drive Claude Code / Codex CLI. 开源 AI 办公助理,豆包办公 / 千问办公替代。
From ticket to reviewed pull request. Free and open-source, on your machine.
Pi Coding Agent 中文学习蓝皮书:从安装与第一个可验收任务开始,逐步掌握 Session、Context、Skill、Extension、Subagent 与长期 Agent 工作流。
DeepSeek Harness 终极指南:快速入门、资源推荐、精选插件与实用工具 |The Ultimate Guide to DeepSeek Harness: QuickStart, Resources, Plugins&Toolkit
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev or Decision api like luna as a System One decision layer for agent selection, supervision, corrections, and approvals.
A small, complete Python agent harness: tools, compaction, retries, and a single-file TUI. Built to learn and use as a baseline.
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.
A curated list of Embodied Recursive Self-Improvement (Embodied RSI) research, systems, benchmarks, and industry updates.
Gear (General Evolution Architecture) is RSI infrastructure for AI agents. Use Gear to refine agent harnesses.
A Windows workbench and native Python Pi harness for Odoo 19: approved business actions, state readback, traceable runs, and ERP-Bench evaluation.
The model is the engine; the harness is the car. Curated knowledge on harness engineering — context management, tool design, agent loops, memory, sandboxing, evals. EN/中文
AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
DeepSeek Harness (DSH) Python 教程:17 章从零实现 Agent Loop、插件系统、工具调用、Session、上下文工程、Subagent 与 Headless CLI
Harness-Zero: Harness Distillation via Agent-as-Harness
Claude Code-style auto-memory plugin for DeepSeek Harness (dsh): typed memory files + MEMORY.md index auto-injected into the system prompt. File-only, no external services.