AI Coding2025
Interactive terminal-native AI coding agent that generates, edits, and runs code while managing multiple model providers and optional durable execution. Privacy-first design with local model support, round-robin model distribution, and a flexible agent system for custom workflows.
AI Coding2025
Provides semantic code search for AI coding agents by making an entire codebase available as context via hybrid BM25 + vector retrieval, reducing token costs. Uses incremental indexing, AST-based chunking, and Zilliz/Milvus-backed vectors for large-codebase and IDE workflows.
MCP Server2025
Curated marketplace of community-contributed GitHub Copilot customizations — reusable agents, file-scoped instructions, skills, plugins, hooks, and agentic workflows — installable via the Copilot CLI and searchable on a companion site.
AI Coding2025
Orchestrates 10+ coding agents (Claude Code, Codex, Gemini CLI) from a kanban board: plan tasks as issues, then run each in an isolated workspace with its own branch, terminal, and dev server. Inline diff review and one-click PR creation.
AI Coding2025
Parses multi-language repositories into a Memgraph knowledge graph and enables natural-language RAG querying, grounded source retrieval, and AI-driven AST edits. Key features include Tree-sitter parsing, LLM-to-Cypher generation, structural search-and-replace, and MCP server integration.
AI Client2025
Provides a terminal REPL that gives AI coding agents a persistent, structured context memory (a versionable context tree) which can be synced across machines. Distinguishes itself with local-first TUI workflows, Git-like versioning for knowledge, and broad multi-LLM and agent tool integrations; source-available under Elastic License 2.0.
AI Client2025
Browser-based AI development platform that runs tasks inside isolated cloud development environments: natural-language agents read code, run commands, modify files, and integrate results back into Git. Key features include per-task sandboxes, multi-model selection, and an enterprise private-deploy option.
AI Agent2025
Terminal coding agent forked from Google's Gemini CLI, retuned for Qwen3-Coder with a custom parser and tool protocol. Runs against OpenAI, Anthropic, Gemini, Qwen or local models, and adds subagents, agent teams, auto-memory and MCP.
Teaches agent harness engineering — the permissions, memory, persistence, and coordination layer that lets an LLM act — across 20 progressive lessons, each adding one mechanism with standalone runnable code. Chinese-first, plus English and Japanese.
A template and workflow for feeding AI coding assistants structured context — project rules, code examples, and validation gates — instead of one-off prompts. Centers on Product Requirements Prompts (PRPs) that an agent generates, then executes.
AI Coding2025
Installs ready-made Claude Code configs — subagents, slash commands, MCP integrations, hooks, and settings — from a catalog of 100+ components via one CLI command. Includes a real-time dashboard to monitor live sessions and token usage.
AI Agent2025
Spec-driven agentic dev platform that turns a prompt into requirements, a design doc, and sequenced tasks before any code is written, then implements from the spec. Runs across IDE, CLI, web, and mobile; validates output with property-based tests.