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Emdash
Top PickOpen-source agentic development environment for parallel AI agents
Emdash is a modern content and digital asset management tool designed to help writers, content teams, and publishers organize, write, edit, and manage their content workflows in a streamlined, distraction-free environment. It replaces scattered content across documents, folders, and tools with a unified workspace where teams draft, review, collaborate, and publish written content, prioritizing the craft of writing.
OpenCode
Top PickOpen-source AI coding agent for the terminal
Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.
Claude
Top PickAnthropic's frontier AI assistant
Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.
Cursor
Top PickThe AI-first code editor
AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.
Pi
Top PickMinimal terminal coding harness
Pi is an open-source minimalist coding agent built by Mario Zechner that runs in the terminal with an intentionally lean design — just four core tools (read, write, edit, bash) and a ~300-word system prompt. It treats the context window as scarce, omits sub-agents and MCP by default, and pushes extensibility to TypeScript extensions, skills, and prompt templates developers build for their own needs. A radical counterpoint to bloated AI coding tools.
Claude Code
Top PickAnthropic's agentic coding CLI
Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.
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View all →Anthropic Agent Skills
Official Claude Agent Skills examples, spec, and plugin marketplace for reusable agent capabilities
Anthropic Agent Skills is Anthropic's official reference repo and Claude Code plugin marketplace for reusable Skill folders. It packages example SKILL.md workflows, document skills, a Claude API skill, templates, and the Agent Skills spec so teams can turn repeatable instructions, scripts, and resources into on-demand Claude capabilities instead of copying prompts across sessions.
Spotlight by Backplanes
Session reports for Claude Code and Codex runs
Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.
agmsg
Cross-agent messaging for CLI coding agents
agmsg is an MIT-licensed Bash and SQLite messaging layer for CLI coding agents. It lets Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenCode, Hermes, and other terminal agents exchange messages through a shared local database instead of relying on a human copy-paste relay. It is intentionally not MCP, not a broker, and not a subagent framework.
eve by Vercel
Filesystem-first framework for durable AI agents
Eve is Vercel's filesystem-first TypeScript framework for building durable AI agents as ordinary project files. It combines Markdown instructions and skills, typed tools, channels, connections, subagents, schedules, sandboxes, and evals with Vercel's agent runtime so teams can ship deployable agents without hand-rolling orchestration. The current beta fits Vercel-native backend agent projects.
Deep Lake
AI data runtime for multimodal datasets and vector search
Deep Lake is an open-source AI data runtime from Activeloop for storing, versioning, and querying multimodal data and embeddings. It fits teams building RAG, training, evaluation, or dataset-heavy agent workflows that need a bridge between vector search, structured metadata, and large image, text, audio, or video collections.
SeekDB
AI-native state store with hybrid vector and full-text search
SeekDB is an open-source AI-native state store from the OceanBase ecosystem that combines MySQL-compatible data access with hybrid vector and full-text retrieval. It targets agent and AI application teams that need embedded or server deployment, copy-on-write style sandboxes, and searchable state without gluing together several separate storage layers.