mpai

oh-my-pi is an open-source terminal coding agent and fork of Pi by Mario Zechner, with an IDE-oriented interface wired into the agent. It supports context-aware code edits, code search, language-server operations such as renames, debugging through debugger operations, persistent Python and Bun code-execution workers, web browsing, sub-agents, and MCP; the project describes support for dozens of model providers and includes built-in tools. It runs on macOS, Linux, and Windows, with installation options including a shell installer, Homebrew, Bun, Nix, and PowerShell.

TeamAI is an open-source CLI for managing a team's skills, rules, documentation, agents, hooks, MCP configuration, environment settings, and knowledge across AI coding tools such as Claude Code, Codex, Cursor, CodeBuddy, WorkBuddy, and OpenCode. It is installed with npm as `teamai-cli` and uses a shared Git repository as the team's source of truth. The CLI distributes resources through an administrative `push` → review and merge → `pull` workflow. Session-start hooks can run `teamai pull` to synchronize the shared harness into project- or user-scoped local AI-tool directories; roles, tags, and subscribed source repositories control which resources members receive. TeamAI also provides a knowledge layer: `teamai import` and `teamai codebase` build a searchable team knowledge base and codebase graph, while `teamai recall` uses BM25 search with graph-boosted reranking and can deploy a recall subagent into supported AI tools. Code relationships are extracted with a WebAssembly tree-sitter parser for TypeScript/JavaScript, Python, and Go, with regex-based heuristic extraction as a fallback and for other languages. Additional commands support friction-based learning suggestions, privacy-scrubbed session summaries, maintenance of stale or low-confidence knowledge, usage digests, a web dashboard, member and role management, package and plugin installation, diagnostics, and uninstallation. The repository is maintained by Tencent and contributors and is licensed under MIT.

ai-memory is an open-source local server for long-term memory and session handoff among AI coding agents. It captures prompts, tool calls, and agent context through MCP integrations and lifecycle hooks, storing the material in a searchable, Git-backed Markdown wiki. When a session ends or is explicitly finalized, it generates handoff context for a subsequent session, including the project architecture, failed approaches, and open questions, so work can continue across agent vendors without restating the context; clients without a true session-end hook use explicit finalization commands. The project documents integrations for Claude Code, Codex, Command Code, Devin CLI, OpenCode, Cursor, Gemini CLI, Oh My Pi, Pi, and Crush, with agent-specific configuration, generated plugins or extensions, and capture exclusions. It runs on Linux, macOS, and Windows through WSL2, with experimental native Windows support, and is distributed through Docker images and native release binaries.

Pi is an open-source AI agent harness and toolkit from earendil-works for building and running coding agents. Its packages provide a unified multi-provider LLM API, an agent runtime with tool calling and state management, an interactive coding-agent CLI, a terminal UI library with differential rendering, and vendor-neutral telemetry contracts and adapters. Slack and chat automation are provided through a separate package project. Pi does not provide built-in restrictions for filesystem, process, network, or credential access; it runs with the permissions of its launching user and process. The project documents containerization and sandboxing approaches, including a local Linux micro-VM, Docker, and policy-controlled sandboxing, for stronger isolation.