Search Results for "self"
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37 projects for "self" with 2 filters applied:
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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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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OpenSpace
OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving
OpenSpace is a self-evolving agent framework designed to improve the performance, efficiency, and collaboration of AI agents through continuous learning and shared knowledge. It introduces a system where agents develop reusable “skills” based on real task execution, allowing them to improve over time without retraining underlying models. The platform emphasizes collective intelligence, enabling multiple agents to share learned behaviors and benefit from each other’s experiences. ... -
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Sinas
Open-source platform for building AI agents and serverless automation
...Sinas can be managed through a web console or declarative YAML configuration, making it suitable for both interactive administration and GitOps-style workflows. Its main value is combining agents, functions, permissions, storage, and automation into one self-hosted AI application platform. -
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Academic Research Skills for Claude Code
Academic Research Skills for Claude Code
Academic Research Skills is a structured learning repository aimed at improving users’ ability to conduct rigorous academic research, particularly in technical and scientific domains. It compiles methodologies, frameworks, and best practices for literature review, critical analysis, and research writing. The project is designed as a self-guided resource, helping learners understand how to evaluate sources, synthesize information, and develop strong arguments. It likely integrates examples, templates, and conceptual explanations to bridge the gap between theory and practical research execution. The repository emphasizes skill-building rather than automation, making it especially useful for students and early-career researchers. ... -
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PentestGPT
Automated Penetration Testing Agentic Framework Powered by LLMs
PentestGPT is an AI-powered autonomous penetration testing agent designed to perform intelligent, end-to-end security assessments using large language models. Published at USENIX Security 2024, it combines advanced reasoning with an agentic workflow to automate tasks traditionally handled by human pentesters. The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation. PentestGPT runs... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Agentic Inbox
A self-hosted email client with an AI agent, running entirely on Cloud
Agentic Inbox is a self-hosted email client that integrates an AI agent directly into the inbox experience, enabling automated reading, organization, and drafting of emails. It runs entirely on Cloudflare Workers, using serverless infrastructure to manage incoming and outgoing messages without relying on external email services. Each mailbox is isolated with its own storage, ensuring data separation and security while maintaining performance. -
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Pro Workflow
Claude Code learns from your corrections: self-correcting memory
Pro Workflow is a productivity framework for Claude Code that introduces self-improving workflows through memory, context engineering, and structured agent orchestration. The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference. -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. ... -
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TinyClaw
The original Tiny Claw as your personal autonomous AI companion
...Its philosophy centers on creating a persistent AI companion that behaves more like a helpful digital partner than a purely configurable assistant. TinyClaw incorporates self-improving memory and smart routing mechanisms intended to reduce large language model costs by tiering queries intelligently. The framework is designed to be self-configuring and easy to set up compared to more complex agent stacks, with a Bun-native runtime and built-in web interface. Overall, TinyClaw aims to democratize autonomous AI agents by delivering a lightweight, extensible, and personality-driven companion platform that evolves with the user over time. -
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OpenMonoAgent
Terminal-native coding agent powered by local LLMs
OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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baoyu-design
Run Claude Design locally as an Agent Skill
...It packages Claude Design-style methodology for environments such as Cursor, Claude Code, Codex, Claude Desktop, and other file-capable agents. The skill can generate UI mockups, prototypes, wireframes, landing pages, dashboards, mobile app screens, and slide decks as self-contained HTML. It keeps outputs inside the local project, so artifacts can be versioned, edited, previewed, and refined without uploading work to a separate design website. The repository includes core design instructions, harness-specific references, built-in skills, starter components, and local preview guidance. It is useful for developers and designers who want agent-assisted product design inside their own editor workflow. -
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Alook
The collaboration layer for your AI workforce
Alook is an open-source, self-hosted platform for running local AI coding agents as a coordinated workforce. It lets users give agents defined roles, email addresses, task boards, calendars, and shared workflows so they can collaborate more like a real team. The platform connects local agents to external communication channels while keeping the actual agents and codebase running on the user’s own machine. -
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effective-html
Agent skill for elegant and simple html plans, architecture diagrams
effective-html is an agent skill package for generating polished, self-contained HTML visual artifacts. It focuses on pragmatic outputs such as plans, architecture diagrams, system diagrams, and general-purpose HTML pages. The repository includes separate skills for standard HTML artifacts, full-screen HTML diagrams, and HTML plan pages. It is designed to work with agent tooling such as Skills, Claude Code plugins, and Codex plugins. -
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improve
Use your most capable model to audit your codebase
...Its core idea is to use a stronger model for understanding, judgment, and planning, then hand the actual implementation to cheaper or separate execution agents. The skill does not modify code by default, because its main output is a self-contained plan. It can run full, quick, deep, security-focused, branch-scoped, and feature-suggestion audits. It maps repository conventions, identifies findings, writes ordered markdown plans, and records verification steps such as lint, build, and test commands. It is useful for teams that want AI-assisted technical planning without letting the planning model directly change production code. -
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI... -
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Codebase to Course
A Claude Code skill that turns any codebase into an HTML course
Codebase to Course is an AI-powered development tool that converts any software repository into a fully interactive educational experience presented as a self-contained HTML course. It is implemented as a skill for Claude Code and is designed to help users understand how a codebase works without requiring a formal computer science background. The tool analyzes the structure and behavior of a project and generates a visually rich, scroll-based course that includes diagrams, animations, and contextual explanations. ... -
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Pika Skills
A collection of open-source skills for AI coding agents
Pika Skills is an open-source framework designed to extend the capabilities of AI coding agents by introducing modular, reusable “skills” that can be dynamically invoked during development workflows. Each skill acts as a self-contained unit composed of structured instructions, executable scripts, and dependency definitions, enabling agents to autonomously perform complex tasks without requiring manual configuration or orchestration. The system is tightly integrated with the Pika Developer API, allowing developers to plug advanced functionalities such as automation, integrations, or real-time interactions directly into their AI-assisted coding environments. ... -
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ClawHost
Deploy OpenClaw with one click
ClawHost is an open-source, self-hostable cloud hosting platform designed to simplify the deployment of OpenClaw onto a dedicated VPS in minutes, giving users full control over their AI infrastructure without relying on shared or managed services. It automates server provisioning, DNS configuration, SSL certificates, and firewall setup, so developers can focus on running their AI workloads rather than configuring infrastructure manually. -
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AutoAgent
AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework
...It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. The framework emphasizes self-managing workflow generation, where it can infer steps, refine them, and adapt plans even when users cannot fully specify implementation details up front. It also describes resource orchestration and iterative self-improvement behaviors, including controlled code generation for building tools and agent capabilities when needed. The project is designed to work with multiple LLM providers and model endpoints, allowing users to choose different backends by setting environment variables and model identifiers. -
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InsForge
InsForge is the backend built for AI-assisted development
...Rather than forcing developers to manually cobble together authentication flows, database schemas, storage buckets, and cloud functions, InsForge provides a semantic layer and toolchain that let agents configured with Model Context Protocol (MCP) understand the backend state, available operations, and how to manipulate these resources end to end. This enables AI coding assistants to complement human engineers by self-configuring backend components, connecting services, and evolving apps autonomously from prompts without switching contexts or manually provisioning infrastructure. -
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Moltworker
Run OpenClaw on Cloudflare Workers
Moltworker is an experimental Cloudflare Workers-based project that allows users to run OpenClaw (previously known as Moltbot or Clawdbot), a self-hosted personal AI agent, within the Cloudflare Developer Platform rather than on dedicated hardware. Acting as a middleware Worker and script adaptor, moltworker packages the OpenClaw agent and its dependencies into a Cloudflare Sandbox container that can operate at scale on the global edge network, offering an always-on deployment without users needing their own servers. ... -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works.... -
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GenericAgent
Self-evolving autonomous agent framework
The GenericAgent project is a flexible framework for building autonomous AI agents that can operate across diverse tasks and environments. It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language... -
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The Pope Bot
Autonomous AI agent that you can configure and build
The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s... -
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AutoAgent AI
Autonomous harness engineering
AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s... -
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Claude Autoresearch
Claude Autoresearch Skill, autonomous goal-directed iteration
...The architecture emphasizes autonomy, reducing the need for constant user input while still producing meaningful insights. It may also include summarization and reporting capabilities to present findings in a digestible format. Overall, autoresearch represents a step toward self-directed knowledge discovery systems that continuously improve their outputs through iteration.
