AG2

useAgent is an open-source AI coworker that gives Claude Code, Codex, OpenCode, and Pi a shared workspace with isolated Linux computers, repositories, terminals, browsers, and team tools. It can handle research, websites, spreadsheets, reports, presentations, and code changes, returning usable files, artifacts, or pull requests through a web app, Slack, REST API, or scheduled tasks. Each run is stored as an event log in Postgres and uses a common event contract across supported agent engines. Daytona or CubeSandbox provides the isolated workstation, while integrations cross a trusted gateway as typed tools so credentials remain on the control plane rather than entering the sandbox. The workspace also supports versioned skills and playbooks, team knowledge and memory, approval-gated tools, revisioned workpieces, and durable sessions. The repository describes useAgent as alpha software with changing APIs and schemas. It can be self-hosted on Linux using Bun and Postgres with pgvector, and is licensed under AGPL-3.0-only; a commercial license is available for proprietary embedding, distribution, OEM, or white-label use.

Antigravity agent is a Google DeepMind agent harness for local use and managed remote sandboxes through the Gemini API and Google AI Studio. A single Interactions API call can provision a secure, Google-hosted Linux sandbox identified by an environment ID, where the agent uses Gemini 3.8 Flash to plan, execute Bash, Python, and Node.js code, observe results, and repeat until the task is complete. It can install packages, run tests, build applications, manage files, search Google, fetch web pages, and call custom functions or remote MCP servers. The harness supports reusable skills, configurable tools, multi-turn interactions, streaming, automatic context compaction, persistent sandbox files, synchronous hooks for intercepting and validating code-execution and filesystem operations, and sources loaded from GitHub, Google Cloud Storage, or inline files. Managed environments provide a credential-injecting proxy and named agents, allowing the same workflow to run locally and in the cloud.

BabyAGI is an experimental framework for building a self-building autonomous agent. Its core, the functionz framework, stores, manages, and executes functions from a database using a graph structure that tracks imports, dependent functions, and authentication secrets; it also supports automatic function loading and logging. A dashboard provides function management, updates, execution, and log viewing. The repository can be installed as a Python package and is intended for experimentation rather than production use. The original repository was archived in September 2024 and moved to a separate archive repository.

kagent is an open-source Kubernetes-native framework for running AI agents as cluster workloads, developed for DevOps and platform engineering teams. Agents are defined as Kubernetes custom resources and deployed with kubectl or GitOps; kagent provisions their runtime, connects them to tools through MCP, and can coordinate agents through A2A. It supports Go and Python runtimes, multiple LLM providers and agent frameworks, persistent vector-backed memory across sessions, context compaction for long conversations, human approval gates, sandboxing, RBAC, and OpenTelemetry traces, Prometheus metrics, and structured logs for prompts, tool calls, and results. The project is distributed under the Apache 2.0 license and is a CNCF Sandbox project.