Search Results for "help agent" - Page 2
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Showing 159 open source projects for "help agent"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MemClaw
Persistent memory for AI agent fleets (OSS)
MemClaw is an open-source governed shared memory platform for AI agent fleets. It is designed to help agents remember information across sessions, teams, tools, and models instead of keeping knowledge trapped inside isolated conversations. The project emphasizes enterprise-style governance, including permissions, tenant isolation, audit trails, visibility scopes, and agent trust tiers. It also supports agent integrations through MCP and OpenClaw-style workflows, making it useful for multi-agent systems that need persistent recall. ... -
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Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
...Agents built with this framework can act as real-time conversational assistants — for example, handling help desk inquiries, providing internal support to teams, or driving in-app experiences — and they can be extended to automate multi-step tasks that interact with external systems like CRMs, knowledge bases, or ticketing systems. The project includes support for designing rich workflows where agents communicate with each other (agent-to-agent communication) and maintain state. -
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Swarms
Enterprise multi-agent orchestration framework for scalable AI apps
Swarms is an enterprise-grade multi-agent orchestration framework designed to help developers build, manage, and scale collaborative AI systems composed of multiple agents. It provides a structured infrastructure for coordinating agents in hierarchical, parallel, or sequential workflows, enabling complex task execution across distributed components. It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale deployments. ... -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
...It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. The CLI supports multiple authentication methods, including OAuth login, service accounts, and environment-based credentials for automated environments. With built-in agent skills and automation features, it enables developers and AI systems to manage and automate Google Workspace workflows efficiently. -
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Antigravity Awesome Skills
The Ultimate Collection of 700+ Agentic Skills for Claude Code
Antigravity Awesome Skills is a playful yet practical repository that curates a set of clever, expressive, and sometimes whimsical AI agent skill templates designed to help users bootstrap agent behavior quickly. Rather than focusing on production-grade systems, it provides creative and high-impact skills that demonstrate how agents can be used to automate tasks, generate content, assist with daily operations, or integrate into larger workflows with minimal configuration. ... -
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AgentScope
Build and run agents you can see, understand and trust
AgentScope is a production-ready agent framework designed to help developers build, deploy, and scale intelligent agentic applications. It provides essential abstractions that evolve with advancing LLM capabilities, emphasizing reasoning, tool use, and flexible orchestration rather than rigid prompt constraints. With built-in support for ReAct agents, memory, planning, human-in-the-loop control, and real-time voice interaction, developers can create powerful agents in minutes. ... -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
HumanLayer is an open source development environment designed to help developers orchestrate and manage AI coding agents working within complex software projects. It provides a framework and tooling that allow AI agents to research, plan, and implement changes in large codebases while maintaining structured workflows. It focuses on enabling AI-assisted development through coordinated agent workflows rather than isolated code generation tasks. -
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Craft Agents
Work effectively with agents
Craft Agents project from lukilabs is an open-source desktop application and workflow environment built around agent interaction and document-centric tasks, designed to help users work with AI assistants more effectively across multiple information sources. This repository extends the idea of “agents” by providing a user-friendly interface that integrates APIs, multitasking workflows, and session sharing so that you can easily orchestrate multiple AI interactions and retrieve context from your sources. ... -
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PentestAgent
AI agent framework for black-box security testing
...Users configure rules, policies, and environments, and the agent continuously probes for weaknesses, prioritizes findings, and generates contextual reports that help both technical and non-technical stakeholders understand risk exposure. Because it supports a range of plug-ins and external security tools, pentestagent can be adapted for web applications, network infrastructure, API surfaces, and even cloud environments, making it flexible for diverse security programs. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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User Agents
A JavaScript library for generating random user agents with data
User Agents is a JavaScript library that generates realistic and up-to-date user agent strings and browser fingerprints based on real-world usage data. The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. ... -
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Octop
A smarter, self-hosted AI assistant — multi-user, multi-agent
...Supported chat surfaces include Feishu, DingTalk, QQ, Discord, WeCom, and the built-in web interface. Its private knowledge base uses retrieval-augmented generation to ground responses in uploaded documents. Agents can also delegate coding work through Agent Client Protocol integrations with tools such as Claude Code, Codex, and OpenCode. Local-first storage, JWT isolation, approval controls, and optional PostgreSQL support help keep conversations, credentials, and agent state under the operator’s control. -
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PySpur
Visual tool for building, testing, and deploying AI agent workflows
PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. -
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Jesse
An advanced crypto trading bot written in Python
Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. -
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Memory OS
A 7-layer memory operating system for Hermes Agent
Memory OS is a local memory operating system for Hermes Agent. It is designed to help an AI agent retain project context, decisions, structured facts, reasoning patterns, and prior conversations across sessions. The system uses seven memory layers that combine flat files, SQLite, full-text search, structured facts, semantic recall, Qdrant vector storage, and a self-curating wiki pipeline. It injects only relevant context back into the agent so memory remains useful without wasting tokens. ... -
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Lagent
A lightweight framework for building LLM-based agents
...The system includes modular components that allow developers to connect different models and tools within the same agent architecture. Its design emphasizes simplicity and flexibility so that developers can experiment with different agent workflows without needing a complex infrastructure setup. Lagent can also be deployed as a web service to support distributed or multi-agent applications. -
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agents.md
A simple, open format for guiding coding agents
...The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of putting everything in README or doc files (which are more human-oriented and might mix high-level narrative), AGENTS.md is intended to surface agent-relevant details that help them “do the right thing” (tests, style, project structure, tooling). -
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memsearch
A Markdown-first memory system, a standalone library for any AI agent
...It enables agents to store, organize, and retrieve information using embeddings and hybrid search techniques, ensuring that relevant context is always available. The system supports advanced features such as reranking and progressive disclosure, which help prioritize the most useful information for a given query. It integrates with vector databases like Milvus, enabling scalable storage and retrieval of large datasets. Memsearch is designed to be agent-friendly, making it easy to plug into existing AI workflows and enhance reasoning capabilities. Its markdown-first approach ensures transparency and portability of stored knowledge. ... -
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ezXSS
ezXSS is an easy way for penetration testers and bug bounty hunters
ezXSS is an open-source XSS (Cross-Site Scripting) testing platform designed to help security researchers identify and collect XSS vulnerabilities. It acts as a payload receiver and logger, storing details about triggered XSS attacks such as the user agent, cookies, DOM, and referrer. This tool is highly useful in bug bounty hunting and penetration testing for monitoring and documenting XSS vectors in real-time. -
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Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
Kimchi is a terminal coding agent powered by multi-model orchestration. It is designed to help developers run AI-assisted coding sessions from the command line while coordinating specialized agents, tools, permissions, and project context. The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows. -
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HiClaw
An open source collaborative multi-agent OS
HiClaw is an AI-powered legal assistant framework developed within the AgentScope ecosystem to support intelligent legal reasoning, document analysis, and workflow automation for legal research and compliance tasks. The project combines large language models with agent orchestration systems to process legal documents, interpret regulations, summarize contracts, and assist with legal knowledge retrieval. It is designed to provide structured, explainable workflows that help legal professionals interact with AI systems more transparently and efficiently. hiclaw emphasizes modularity and integration with external legal databases, retrieval systems, and enterprise tooling, enabling customization for different legal domains and operational requirements. ... -
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AI Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications
The AI Engineering Hub repository is a large open-source collection of hands-on projects, tutorials, and real-world AI engineering resources designed to help developers learn and build with modern AI technologies, especially large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems. It includes more than 90 production-ready projects across skill levels, organized into beginner, intermediate, and advanced categories to guide users progressively from simple experiments to complex AI workflows. ... -
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Conftest
Write tests against structured configuration data
Conftest is a utility to help you write tests against structured configuration data. For instance, you could write tests for your Kubernetes configurations, Tekton pipeline definitions, Terraform code, Serverless configs, or any other structured data. Conftest relies on the Rego language from Open Policy Agent for writing policies. If you're unsure what exactly a policy is, or unfamiliar with the Rego policy language, the Policy Language documentation provided by the Open Policy Agent documentation site is a great resource to read. -
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Vibe Kanban
Get 10X more out of Claude Code, Codex or any coding agent
...Vibe Kanban tackles this by enabling users to define tasks as cards on a board, assign those tasks to one or more coding agents, and then track progress and outcomes as each agent executes in the background with its own isolated workspace. It supports running multiple agents in parallel or in sequence, giving engineers the freedom to plan, review, and address higher-level concerns while AI helpers execute individual pieces of work. -
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AG KIT
Antigravity-first agent engineering kit with rules, skills
...A native pre-tool safety gate blocks high-confidence destructive commands without interfering with normal project cleanup. Merge-aware updates preserve local changes, create backups, and support rollback. Built-in validation, doctor checks, regression tests, and reproducible manifests help teams maintain reliable agent configurations. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time.
