#typescript #ai #ai_agents #coding #deno #embeddings #insforge #nextjs #oauth2 #pgvector #postgresql #realtime #vectors #websockets
InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost.
https://github.com/InsForge/InsForge
InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost.
https://github.com/InsForge/InsForge
GitHub
GitHub - InsForge/InsForge: Give agents everything they need to ship fullstack apps. The backend built for agentic development.
Give agents everything they need to ship fullstack apps. The backend built for agentic development. - InsForge/InsForge
#python #awesome #awesome_lists #awesome_resources #codex #codex_cli #codex_skills #coding_agent_skills #coding_agents #gpt_5_1_codex #gpt_5_codex #llm #skills
Awesome Codex Skills offers a curated list of practical skills to automate workflows in Codex CLI and API, like code reviews, meeting summaries, GitHub PR fixes, Notion organization, email drafting, and data analysis across 1000+ apps via Composio. Install easily with a Python script or manually by copying folders to ~/.codex/skills, then restart Codex—it auto-triggers skills matching your task description. This saves you hours on repetitive dev, productivity, and comms tasks, letting Codex take real actions like posting to Slack or creating issues for faster, smarter work.
https://github.com/ComposioHQ/awesome-codex-skills
Awesome Codex Skills offers a curated list of practical skills to automate workflows in Codex CLI and API, like code reviews, meeting summaries, GitHub PR fixes, Notion organization, email drafting, and data analysis across 1000+ apps via Composio. Install easily with a Python script or manually by copying folders to ~/.codex/skills, then restart Codex—it auto-triggers skills matching your task description. This saves you hours on repetitive dev, productivity, and comms tasks, letting Codex take real actions like posting to Slack or creating issues for faster, smarter work.
https://github.com/ComposioHQ/awesome-codex-skills
GitHub
GitHub - ComposioHQ/awesome-codex-skills: A curated list of practical Codex skills for automating workflows across the Codex CLI…
A curated list of practical Codex skills for automating workflows across the Codex CLI and API. - ComposioHQ/awesome-codex-skills
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#go #agents #claude_code #coding
Beads (bd) is a free CLI tool for macOS, Linux, Windows, and FreeBSD that gives AI coding agents persistent, structured memory via a version-controlled Dolt SQL database with graphs for tasks, dependencies, and hierarchies. Install once with `curl` script or brew, then `bd init` in any project—no repo cloning needed. Key commands like `bd ready`, `bd create`, and `bd update` track blockers, claim tasks, and auto-detect ready work in JSON for agents. It prevents conflicts with hash IDs, compacts old tasks, and supports stealth/git-free modes. You benefit by replacing messy plans with clear, long-term task tracking that keeps AI agents focused without losing context, boosting productivity on complex projects.
https://github.com/gastownhall/beads
Beads (bd) is a free CLI tool for macOS, Linux, Windows, and FreeBSD that gives AI coding agents persistent, structured memory via a version-controlled Dolt SQL database with graphs for tasks, dependencies, and hierarchies. Install once with `curl` script or brew, then `bd init` in any project—no repo cloning needed. Key commands like `bd ready`, `bd create`, and `bd update` track blockers, claim tasks, and auto-detect ready work in JSON for agents. It prevents conflicts with hash IDs, compacts old tasks, and supports stealth/git-free modes. You benefit by replacing messy plans with clear, long-term task tracking that keeps AI agents focused without losing context, boosting productivity on complex projects.
https://github.com/gastownhall/beads
GitHub
GitHub - gastownhall/beads: Beads - A memory upgrade for your coding agent
Beads - A memory upgrade for your coding agent. Contribute to gastownhall/beads development by creating an account on GitHub.
#rust #ai #claude #cli #coding_agent #llm #mcp #openai #rust #terminal #tui
jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash`, then run `jcode`. It uses far less memory (27MB vs. 300MB+ for rivals) and starts in 14ms, letting you handle many agents smoothly without slowdowns or high costs—perfect for efficient, scalable coding.
https://github.com/1jehuang/jcode
jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash`, then run `jcode`. It uses far less memory (27MB vs. 300MB+ for rivals) and starts in 14ms, letting you handle many agents smoothly without slowdowns or high costs—perfect for efficient, scalable coding.
https://github.com/1jehuang/jcode
GitHub
GitHub - 1jehuang/jcode: Coding Agent Harness
Coding Agent Harness. Contribute to 1jehuang/jcode development by creating an account on GitHub.