10 projects for "planning" with 2 filters applied:

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  • 1
    Gajae-Code

    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.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Learn Claude Code

    Learn Claude Code

    Bash is all you need, write a claude code with only 16 line code

    Learn Claude Code is an educational repository that teaches how modern AI coding agents work by walking learners through a sequence of progressively more complex agent implementations, starting with a minimal Bash-based agent and culminating in agents with explicit planning, subagents, and skills. It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills, illuminating the patterns behind what makes a true AI agent tick. The goal is to demystify agent architectures like Claude Code by having learners build simplified versions themselves and observe how tools, memory management, planning constraints, and context isolation contribute to reliable agent behavior. ...
    Downloads: 2 This Week
    Last Update:
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  • 3
    Compound Engineering

    Compound Engineering

    Official Compound Engineering plugin for Claude Code, Codex, Cursor

    The Compound Engineering plugin project is an AI-driven workflow system designed to improve software development by turning each unit of work into a reusable and compounding asset. It provides a structured set of commands and agents that guide developers through stages such as brainstorming, planning, execution, review, and knowledge capture. The core philosophy is to reduce technical debt by emphasizing thorough planning and continuous learning, ensuring that each iteration improves future work rather than increasing complexity. The plugin integrates with multiple AI coding environments, including Claude Code and other tools, enabling consistent workflows across platforms. ...
    Downloads: 1 This Week
    Last Update:
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  • 4
    MiniMax-M2.1

    MiniMax-M2.1

    MiniMax M2.1, a SOTA model for real-world dev & agents.

    MiniMax-M2.1 is an open-source, state-of-the-art agentic language model released to democratize high-performance AI capabilities. It goes beyond a simple parameter upgrade, delivering major gains in coding, tool use, instruction following, and long-horizon planning. The model is designed to be transparent, controllable, and accessible, enabling developers to build autonomous systems without relying on closed platforms. MiniMax-M2.1 excels in real-world software engineering tasks, including multilingual development and complex workflow automation. It demonstrates strong generalization across agent frameworks and consistently improves upon its predecessor, MiniMax-M2. ...
    Downloads: 11 This Week
    Last Update:
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  • 5
    Skills for coding agents

    Skills for coding agents

    Skills for coding agents

    BuilderIO Skills is a collection of small, composable skills for coding agents. It is made for teams that want agents to perform better in planning, review, orchestration, validation, documentation discipline, and clear communication. Instead of acting like a heavy process framework, it lets teams install only the skills they need and adapt them to their project. The catalog includes tools for visual planning, visual PR recaps, agent audits, plan comparison, autonomous execution, model orchestration, usage-limit management, final status recaps, and documentation-first development. ...
    Downloads: 3 This Week
    Last Update:
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  • 6
    LazyCodex

    LazyCodex

    The one and only agent harness for complex codebases

    LazyCodex is an agent harness for using Codex on complex software projects. 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. ...
    Downloads: 2 This Week
    Last Update:
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  • 7
    BMad Method

    BMad Method

    Breakthrough Method for Agile Ai Driven Development

    ...It transforms AI from a reactive assistant into a structured team of specialized roles such as product manager, architect, developer, and QA, each operating within predefined workflows. The system guides users through phases including analysis, planning, solution design, and implementation, ensuring that projects are approached systematically rather than through ad hoc prompting. It adapts dynamically to project complexity, offering lightweight flows for small tasks and more rigorous processes for enterprise-scale systems. The framework also emphasizes repeatability and consistency by storing workflows, templates, and roles as reusable artifacts. ...
    Downloads: 9 This Week
    Last Update:
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  • 8
    CoStrict

    CoStrict

    Strict AI coder for enterprises, quality first

    ...Unlike typical AI coding tools that prioritize speed over rigor, CoStrict introduces a “strict mode” methodology that enforces disciplined processes such as requirements analysis, architecture planning, task decomposition, and test generation before producing code. This makes it particularly suitable for organizations that require consistency, auditability, and reliability in AI-assisted development. The system integrates repository-wide analysis using retrieval-augmented generation, allowing it to understand large codebases and provide context-aware suggestions, reviews, and modifications. ...
    Downloads: 0 This Week
    Last Update:
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  • 9
    Open SWE

    Open SWE

    Open source async coding agent that plans, codes, and opens PRs

    Open SWE is an open source asynchronous coding agent designed to automate software engineering workflows across entire repositories. Built with LangGraph, it can understand a codebase, generate a structured plan, and execute code changes from start to finish without constant human intervention. It operates in a cloud-based environment where tasks are processed asynchronously, allowing multiple coding jobs to run in parallel in isolated sandboxes. It integrates directly with development...
    Downloads: 0 This Week
    Last Update:
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

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  • 10
    MiniMax-M2

    MiniMax-M2

    MiniMax-M2, a model built for Max coding & agentic workflows

    ...The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. It is also optimized for multi-step agent tasks, planning and executing long toolchains that span shell commands, browsers, retrieval systems, and code runners. Benchmarks show that it achieves highly competitive scores on a wide range of intelligence and agent benchmarks, including SWE-Bench variants, Terminal-Bench, BrowseComp, GAIA, and several long-context reasoning suites.
    Downloads: 0 This Week
    Last Update:
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