Search Results for "re-tools"
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Showing 31 open source projects for "re-tools"
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1
Goose
AI coding agent that's more than suggestions - install, execute, edit+
...It allows developers to install, execute, edit, and test code with any large language model (LLM), facilitating a more efficient and streamlined workflow. Designed to operate locally within a developer's environment, Goose integrates seamlessly with various tools and platforms, providing a customizable and powerful assistant for coding tasks. Its architecture supports extensibility, enabling users to tailor the agent to their specific needs and preferences. By leveraging Goose, developers can improve productivity and code quality through advanced AI-driven assistance. -
2
omp (Oh My Pi)
AI Coding agent for the terminal
omp (Oh-My-Pi) is an open-source AI agent toolkit focused on creating intelligent coding assistants that operate directly from the terminal environment. The project provides a command-line coding agent capable of analyzing repositories, generating commits, editing code, and interacting with development tools through an integrated tool system. Instead of functioning as a simple prompt-based assistant, the system includes an agent architecture that can inspect Git repositories, analyze changes, and perform development actions with fine-grained control. The platform also supports tool-based workflows where the agent can run shell commands, read files, modify code, and stage changes during development tasks. ... -
3
AnyClaw
AnyClaw — OpenClaw + Codex + Claude Code on Android
...The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for managing chats, skills, tools, and AI workflows from a mobile interface. With support for multiple AI providers, users can interact with OpenAI, Claude-compatible, and local models through a unified experience. Designed for developers and AI enthusiasts, AnyClaw brings powerful coding and productivity agents to smartphones for development and automation on the go. -
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OpenCode
The open source coding agent
OpenCode is an open-source AI coding agent designed to assist developers directly from the terminal, desktop, or IDE environments. It functions as a locally running assistant that can analyze codebases, execute development tasks, and interact with external tools while remaining highly configurable. The system is built around an agent model that can perform actions such as file manipulation, shell execution, and web access with user confirmation. Its provider-agnostic design allows developers to connect different large language model services rather than being locked into a single vendor. ... -
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5
DeepSeek-Reasonix
DeepSeek-native AI coding agent for your terminal
...It is built around prefix-cache stability, which helps reduce token costs during long sessions and allows users to leave the agent running across extended workflows. Reasonix includes a coding mode with filesystem and shell tools, a lighter chat mode, one-shot task execution, health checks, session utilities, and project-scoped memory. It supports reviewed SEARCH/REPLACE edits, plan mode, MCP servers, web search, hooks, skills, semantic indexing, transcript replay, event logs, and cost or cache tracking. The project is especially useful for developers who want an open, terminal-first coding agent optimized for DeepSeek’s cache mechanics. ... -
6
Freebuff
The free coding agent
Freebuff is a suite of free AI tools for coding, application building, and research across desktop, terminal, browser, cloud, and chat interfaces. Its coding agents can inspect a project, locate relevant files, edit code, run commands, and review their own work. Specialized agents divide tasks such as context gathering, implementation, research, and validation. The desktop app can run multiple agents in isolated local workspaces. -
7
Pi Agent
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI
...Pi supports multiple AI providers such as OpenAI, Anthropic, and Google through a single consistent API layer, making it easier to integrate different models into applications and agents. The framework is built around extensibility, allowing developers to create custom tools, workflows, and autonomous coding experiences. Pi also encourages the sharing of real-world AI coding sessions to improve agent performance through practical usage data instead of synthetic benchmarks. With its modular architecture, active open-source community, and support for advanced agent capabilities, Pi provides a comprehensive foundation for building next-generation AI development tools and autonomous c -
8
MiniMax Code
An open-source coding agent for your terminal, powered by MiniMax
...A terminal UI supports interactive coding sessions, while a headless mode enables scripted and automated workflows. Built-in capabilities include search, multimodal tools, MCP integrations, managed connectors, and configurable execution permissions. Sessions can be resumed, tasks can be planned, and work can be delegated to subagents. Plugins and built-in skills extend the agent with additional workflows and specialized behavior. ACP support also allows compatible editors and external clients to connect to the coding agent. -
9
Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to ground queries with relevant information. Users can authenticate with their Google accounts for free usage limits or configure API keys for higher capacity and access to specific models. The tool is designed to be easy to install and use, with extensive documentation and community support for troubleshooting and advanced workflows. -
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10
Desktop CC GUI
Multi-engine AI coding desktop client (Tauri). Claude Code, Codex
Desktop CC GUI is a free, open-source desktop client that brings multiple AI coding agents into a unified graphical interface. Built with Tauri, React, TypeScript, and Rust, it runs on Windows, macOS, and Linux. The application supports Claude Code, Codex CLI, Gemini-related tools, OpenCode, DeepSeek Harness, and other coding engines. Users can select projects, chat with agents, generate code, fix bugs, and manage Git operations. It displays streaming responses, reasoning traces, tool executions, and token usage when available. Its session management tools support conversation history, message queues, and task interruption. ... -
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Claude Code Haha
Claude Code leaked source - locally runnable version
...Despite its informal tone, it still provides insight into how coding agents can be structured and extended. It is particularly useful for understanding limitations, failure modes, and creative applications of AI-driven development tools. -
12
Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
...Kimchi includes benchmarking tools for smoke testing sessions, auditing completed work, and comparing model behavior across predefined tasks. It is useful for developers who want a powerful terminal-first coding agent with structured orchestration rather than a simple chat wrapper. -
13
Prime Agent
A self-improving RLM agent for coding workflows
...Its Recursive Language Model architecture treats context as programmable variables and subagents as callable functions inside a persistent Python environment. Files, shell commands, tools, context operations, and agent coordination are handled programmatically through the same runtime. Built-in subagents can work in parallel or continue tasks independently while returning results to a parent agent. A continual harness stores memories, skills, prompts, and reusable agent specifications that can improve through evidence-backed refinement. ... -
14
ByteRover CLI
The portable memory layer for autonomous coding agents
...Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows. -
15
Andromity
A terminal AI coding agent. Autonomous by choice, gated by trust
...Developers can connect cloud models through their own API keys or run supported local models through Ollama. Built-in diffs, one-click rollback, persistent sessions, cron jobs, MCP tools, and a live execution profiler provide visibility and control over autonomous work. It is designed around local storage and configurable privacy rather than a mandatory hosted backend. -
16
Gajae-Code
Gajae Code MVP
Gajae-Code is an experimental coding-agent harness focused on structured planning, reviewable execution, and durable verification. It runs beside existing tools rather than hiding inside a specific agent runtime, so users can apply it to a chosen repository or isolated worktree. The workflow is built around clarifying requirements, planning before mutation, turning approved plans into goals, and tracking evidence until completion. It includes tmux-backed execution options for coordinating parallel workers when a task is large enough to benefit from them. ... -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with... -
18
Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
...Instead of manually configuring development environments, the system automatically provisions the required infrastructure including a Linux environment, database services, and development tools. It integrates an AI pair programmer that can generate code, implement features, and assist with debugging tasks through natural language instructions. The environment also includes web-based terminals, file management tools, and version control capabilities to support collaborative software development workflows. Developers can connect external services by simply providing API credentials, allowing the AI system to automatically integrate features such as authentication or payment processing. -
19
kimaki
Like openclaw but on top of opencode. all opencode features
...Each Discord channel is mapped to a specific project directory, and messages sent within that channel trigger AI-driven actions such as editing files, running commands, or searching the codebase. The system is designed to streamline development workflows by eliminating context switching between communication tools and coding environments. Kimaki supports both quick setup through a shared bot and more advanced self-hosted configurations, offering flexibility for different user needs. -
20
Superset LLM
Run an army of Claude Code, Codex, etc. on your machine
...The platform includes built-in monitoring capabilities so users can observe the activity of each agent, receive notifications when tasks are completed, and quickly review changes produced by automated coding workflows. Superset also integrates tools for reviewing code differences, editing generated outputs, and managing the development environment directly from the interface. -
21
AiderDesk
Platform for AI-powered software engineers
...Users can organize repositories into projects and tasks while keeping development work isolated through Git worktrees. The software supports multiple AI providers, specialized subagents, and customizable agent profiles. It provides code review tools, approval controls, and editable conversation histories. Its context engine uses semantic search and repository mapping to retrieve relevant code. AiderDesk also supports extensions, custom commands, and Model Context Protocol integrations, allowing developers to incorporate AI assistance into existing workflows. -
22
Claude Code Agent Monitor
A real-time monitoring dashboard for Claude Code & Codex
...The application tracks active agents, conversations, tool executions, and delegated subagent tasks. Users can examine hierarchical agent relationships, workflow progress, and concurrent operations. Its analytics tools display token consumption, model usage, estimated costs, and historical activity. A Kanban board organizes agent tasks, while notifications highlight important status changes. The software also supports launching and resuming supported agents, inspecting configurations, and integrating external monitoring tools. Available through web and desktop interfaces, it emphasizes local-first operation. -
23
PI-Desktop
Local-first AI coding agent desktop: Electron + Rust host core
...The application supports cloud models, local models, custom gateways, and compatible APIs without depending on a single provider. It also enables parallel agent workflows through subagents and worker sessions. Its extensible plugin system adds panels, tools, themes, MCP servers, and background services across Windows, macOS, and Linux. -
24
skills-manage
Desktop app to manage AI coding agent skills across Claude Code
skills-manage is a Tauri desktop application for organizing AI coding agent skills across many local development tools from one interface. It uses a central skills library as the main source of truth, then installs skills into specific platforms through per-tool workflows. The app is designed for users who work with multiple AI coding agents and want consistent skills across environments such as Claude Code, Codex, Cursor, Gemini CLI, and many others. -
25
Letta Code
The memory-first coding agent
Letta Code is a memory-first CLI coding agent built on the Letta platform that offers developers a persistent AI assistant capable of learning and improving over time rather than resetting state each session, giving agents a sense of continuity and context across coding tasks. Unlike traditional session-based coding tools, Letta Code attaches a long-lived agent to a working directory so that the agent accumulates memory about a project’s structure, preferences, and history, effectively acting as a collaborative partner rather than a stateless helper. Users can initialize and connect the agent to various models, including popular large language models, and issue commands, refactor code, or ask context-aware questions directly in the terminal, with memory retained across multiple interactions.
