Search Results for "can" - Page 2
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Showing 65 open source projects for "can"
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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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OpenReview
An open-source, self-hosted AI code review bot powered by Vercel
...The system operates in a sandboxed environment with access to the repository, enabling it to run linters, tests, and formatting tools as part of its review process. It provides detailed, line-by-line feedback and can suggest or even apply fixes directly to the codebase. OpenReview is designed for extensibility, supporting custom review skills that can be tailored to specific development needs or coding standards. Its architecture leverages Vercel’s infrastructure for scalable and reliable execution, ensuring that reviews can be resumed or retried if interrupted. -
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Onlook
The Cursor for Designers • An Open-Source AI-First Design tool
...Customize your design, control your codebase, and push changes your changes without compromise. Link Onlook to your React project with just one command. Run this command on your project's root folder to get set up in seconds. Onlook writes reliable code you can trust, exactly where it needs to go. Adjust layouts, change colors, modify text, and more. -
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Nanocoder
A beautiful local-first coding agent running in your terminal
...The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder enables developers to interact with AI agents that can read files, modify code, execute commands, and assist with debugging tasks. The platform supports multiple AI providers through OpenAI-compatible APIs and can also integrate with local model runtimes such as Ollama or LM Studio. Its architecture emphasizes extensibility through custom commands and integration with Model Context Protocol servers that allow the AI agent to access additional tools. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Alook
The collaboration layer for your AI workforce
...Alook also emphasizes memory and traceability, so agents can remember past decisions, learn preferences, and keep a record of instructions and replies. Its main value is turning separate AI coding tools into an organized, always-on operating system for agent-based work. -
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SuperDesign
AI Product Design Agent
...Because it is open source, anyone can inspect, extend, and customize the agent to fit specific workflows. -
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SocratiCode
Enterprise-grade (40m+ LOC) codebase intelligence
...It encourages critical thinking by asking structured questions that lead developers toward discovering solutions on their own. The system is designed to improve understanding of programming concepts through iterative reasoning and dialogue. It can be used to practice coding challenges, debug logic, and explore design decisions in a guided manner. SocratiCode emphasizes learning through inquiry rather than passive consumption of solutions. It is particularly valuable for students and self-learners aiming to deepen conceptual understanding. The project reflects a pedagogical shift toward interactive and reflective coding education. -
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Dao Code
Open-source TypeScript terminal coding agent for DeepSeek-V4
...It reads code, writes code, runs commands, fixes bugs, and streams tool usage inside the terminal. The project emphasizes byte-stable prompts, prefix-cache reuse, and low-cost reflection or memory forks so longer coding sessions can remain affordable. It also includes cross-session memory that verifies saved facts against the current codebase instead of blindly trusting old context. Dao Code supports approval gates, slash commands, skills, MCP tools, hooks, custom subagents, permissions, crash recovery, shadow-git checkpoints, and autonomous long-task mode. It is aimed at developers who want a Claude Code-like workflow with stronger mainland China availability and DeepSeek-first economics. -
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LazyCodex
The one and only agent harness for complex codebases
...It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes verified completion, which means the workflow is built around checking whether tasks are actually finished rather than only generating code. Its main value is turning Codex into a more disciplined coding agent environment for larger and more demanding repositories. -
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Claude Code Haha
Claude Code leaked source - locally runnable version
...The repository likely includes playful modifications, custom prompts, or unconventional workflows that reveal edge cases in agent behavior. 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. -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
...The platform automates the coordination of multiple agents, reducing the need for manual oversight in complex development workflows. It supports a wide range of agents, runtimes, and tools, making it flexible and framework-agnostic. Through a centralized dashboard, developers can monitor progress, review outputs, and intervene only when human judgment is required. Agent Orchestrator transforms AI-assisted development into a scalable, autonomous system for continuous code improvement. -
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Oh My codeX (OMX)
Your codex is not alone. Add hooks, agent teams, HUDs
...It addresses limitations in the base Codex environment, such as the lack of hooks, agent coordination, and persistent execution, by layering a shell-based system that enables richer interaction patterns. The project transforms a single AI coding assistant into a coordinated system of specialized agents that can collaborate in parallel, improving both speed and reliability of development tasks. It leverages tools like tmux to manage multiple agent sessions simultaneously, enabling a “team mode” where different agents handle distinct responsibilities within a shared workflow. The system also introduces staged pipelines, allowing tasks to move through phases such as planning, execution, verification, and refinement in a structured manner. -
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Groq AppGen
Project showcasing Llama 3.3 70B HTML codegen abilities
...It integrates safety/content-checking via LlamaGuard to catch undesirable outputs, and includes session management, export/share functionality, and history tracking so you can iterate on designs or revert as needed. -
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AI Coding Dictionary
AI coding jargon, explained in plain English
...The project helps users name what is happening when prompts fail, context degrades, tools behave unexpectedly, or agent sessions become hard to manage. Its main value is turning AI coding jargon into practical vocabulary that developers can understand quickly and use in real work. -
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OhMyOpenCode
The Batteries-Included Agent that codes like you
...It provides templates, organizational guidelines, and tooling that standardize how projects are set up — including recommended README structures, contribution workflows, issue templates, and automated CI/CD integrations — so maintainers can focus on building features instead of boilerplate. The repository also serves as a showcase and aggregation hub for quality open-source work, offering curated lists of notable projects, learning pathways, and contribution opportunities for developers at various skill levels. With clear onboarding instructions and community norms baked into the templates, newcomers to open source can quickly understand how to make effective contributions without being overwhelmed by unfamiliar practices. -
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Letta Code
The memory-first coding agent
...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. -
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ByteRover CLI
The portable memory layer for autonomous coding agents
ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows. -
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OpenTag
Open-source @agent mentions for Slack and GitHub
...Codex, Claude Code, or another compatible agent performs the task and returns concise results to the original thread. Action receipts show proposed changes and expose an Apply option only when an approved adapter can safely perform them. A local work ledger records the source event, admission decision, context, capabilities, artifacts, callbacks, and final outcome. The CLI supports guided setup, diagnostics, terminal operation, and background services on macOS and Linux. -
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Sourcebot
Tool that helps humans and agents understand your codebase
...It supports indexing multiple repositories across different platforms, making it useful for organizations with distributed codebases. Sourcebot also includes features like IDE-level navigation, file exploration, and syntax-aware search, improving developer productivity. It can be deployed locally using Docker, ensuring that code remains private and secure. Overall, it acts as an AI-powered layer for exploring and understanding software systems at scale. -
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Cody
Type less, code more: Cody is an AI code assistant
...Cody uses your code graph plus Code Search to autocomplete, explain, and edit your code with additional context. Cody supports the latest LLMs including Claude 3.5, GPT-4o, Gemini 1.5, and Mixtral-8x7B. You can also bring your own LLM key with Amazon Bedrock and Azure OpenAI. -
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CC Mirror
Create multiple isolated Claude Code variants with custom providers
...Rather than running a single global Claude Code installation, cc-mirror creates separate instances — each with its own config, session store, prompt packs, theme tweaks, and optional preloaded skills — so you can tailor different environments for specific tasks, teams, or experimentation without polluting your primary setup. It also includes an interactive terminal UI for discovering, creating, and launching these isolated variants with a single command, making setup and switching effortless. For teams, cc-mirror’s team mode brings shared task storage and coordinated multi-agent workflows using shared goals and task lists that agents can collaborate on; this is useful for scaling up agentic coding across complex projects. -
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TraceRoot
Find the Root Cause in Your Code's Trace
...Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context. -
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CodePilot
A native desktop GUI for Claude Code
CodePilot is a native desktop graphical user interface built for Claude Code that lets developers chat with, code with, and manage AI-assisted projects visually rather than through the terminal. Created with Electron and Next.js, CodePilot delivers a polished experience where users can talk to Claude models, view syntax-highlighted responses, attach files, and inspect project context via a live file tree. It supports session management so chats and project work persist between restarts, letting users pick up where they left off without losing history. Unlike traditional CLI-only workflows, CodePilot brings panels, drag-to-resize layouts, and controls for tool permissions that make it feel like a modern desktop code assistant. ... -
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Context Mode
Context window optimization for AI coding agents
...The project explores structured context management, enabling developers to define how files, code snippets, and metadata are included in prompts. It is particularly useful for large codebases, where naive context inclusion can lead to inefficiency or irrelevant outputs. The system encourages modular and selective context injection, improving both performance and cost efficiency. It also aligns with emerging patterns in AI-assisted development, where context orchestration becomes a critical component of productivity. Overall, context-mode represents a shift toward more intentional and structured interaction between developers and AI systems. -
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Vibecraft
Manage Claude Code in style
...It uses generative modeling techniques to interpret input descriptors such as genre, mood, tempo, instrument palette, and creative themes, then outputs sequences that can serve as sketches, loops, or full musical ideas. The workflow prioritizes interactivity, letting users refine prompts, adjust musical fingerprints, and iterate on compositions in near real-time, making it suitable for ideation, prototyping, or inspiration workflows. The application also emphasizes usability by exporting to common audio formats and DAW-friendly stems, enabling seamless integration into existing music production environments.