Herramientas de desarrollo
lowdefy
Build apps that AI can generate, humans can review, and teams can maintain. Config that works between code and natural language.
★ 3,0k estrellasApache-2.0
Ver la guía →cavemem es un proyecto de herramientas de desarrollo de código abierto de JuliusBrussee (JuliusBrussee/cavemem en GitHub). Tiene 678 estrellas en GitHub y 61 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 14 de agosto de 2026.
Persistent memory for coding agents — frozen, but its core lives on in Caveman.
The project is frozen; the core moved to Caveman.
Caveman carries the compressed-memory engine forward.
The repo documents cross-agent memory design.
New setups should start with the successor project.
One memory layer shared by many assistants.
Memory kept compact for long histories.
Archived — no further development here.
The core now ships inside Caveman.
Useful for studying agent memory patterns.
Free to fork and learn from.
Download the source and move into the project folder.
git clone https://github.com/JuliusBrussee/cavemem.git
cd cavememEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo — it is frozen; the memory core now ships inside Caveman.
For new projects, use the Caveman successor instead.
MIT licensed — free with attribution.
Persistent, compressed memory shared across coding assistants.
Check the successor project Caveman for active development.
Build apps that AI can generate, humans can review, and teams can maintain. Config that works between code and natural language.
Learn to code securely while having fun through our popular open source in-editor experience, designed for developers, students, and anyone curious about sec…
Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) — two AI models harden your plan …
Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Devel…
Shared memory for coding agents: lessons, repo knowledge, and your preferences, carried across sessions.
Xiaomi's terminal-native AI coding assistant where models and agents co-evolve, with project memory.
Los demás proyectos de Herramientas de desarrollo con más estrellas del catálogo de LibreAI: la lista realista de alternativas si cavemem no es lo que buscas.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Proyectos de Herramientas de desarrollo cercanos en el catálogo, los más próximos en estrellas a cavemem: sigue explorando a ambos lados.
50 open-source skills that teach AI coding agents to make motion graphics.
Backend.AI is a streamlined, container-based computing cluster platform.
Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
macOS app to manage your AI coding sessions — browse, resume and review.
A portable home for your AI agent — memory, keys and automations on Cloudflare.
Open-source AI code reviewer — top-ranked on the Code-Review-Bench.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.