Free & Open Source
MIT license, self-hosted
Your own personal AI assistant. Any OS. Any platform. The lobster way. 🦞
An open-source, self-hosted personal AI assistant from Peter Steinberger and community. Runs on macOS, iOS, and Android and speaks on the channels you already use — WhatsApp, Telegram, Slack, Discord, iMessage, and more. Highly extensible: skills are Markdown files, with a Codex harness extension and MCP support for coding workflows.
MIT license, self-hosted
OpenClaw is an open-source personal AI assistant you run on your own devices. Started in late 2025 by Peter Steinberger and a fast-growing community, it crossed 100,000 GitHub stars within its first week and quickly became the reference implementation for self-hosted agents. The framing is deliberate: not a chatbot, not a coding tool, but a single personal agent that lives on the channels you already use — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Microsoft Teams, Matrix, and many more — with native presence on macOS, iOS, and Android.
Although primarily a personal assistant, OpenClaw is highly relevant to coding workflows through its skills system: each skill is a folder with a SKILL.md file (Markdown frontmatter + instructions), and the project ships extensions for the OpenAI Codex harness and other coding tools. Custom skills can review GitHub PRs, run tests, manage your issue tracker, or orchestrate other CLIs. Multi-agent routing lets one OpenClaw gateway run several specialized agents — for code, research, ops — in parallel, each with its own workspace and memory.
• Self-hosted personal AI assistant, MIT-licensed
• Multi-channel inbox: WhatsApp, Telegram, Slack, Discord, iMessage, Signal, Teams, Matrix, and ~20 more
• Native presence on macOS, iOS, and Android — voice in and out
• Skills as Markdown files (SKILL.md) inside ~/.openclaw/workspace/skills
• Codex harness extension for OpenAI Codex integration
• Multi-agent routing: one gateway, many isolated agents
• Persistent memory in plain Markdown + SQLite
• MCP server support and BYO LLM (Claude, GPT, Gemini, local)
• Built-in audit tool (`openclaw doctor`) and permission policies
Faster Gateway and replies with reduced startup scans; core transcript capture for meeting summaries; Telegram forum topics, iMessage attachment roots; realtime Talk inspection.
Discord voice follow-users with multi-user handoff; xAI device-code OAuth login; OpenRouter provider-level routing policy.
Mac app redesign with Settings cards; CLI tool plugin SDK (build/validate/init); browser modal dialog handling; Android realtime Talk Mode.
xAI Grok OAuth for SuperGrok subscribers; CLI cron run --wait with timeout; setup wizard localization (EN/ZH).
Create a skill at ~/.openclaw/workspace/skills/github-pr-reviewer/SKILL.md with simple Markdown instructions. From any connected channel — say a Telegram chat — send "review github.com/me/repo/pull/42" and OpenClaw fetches the diff, analyses it, and replies with a structured review.Prime Agent is an open-source (MIT) self-improving coding and research harness by Prime Intellect, built on a Recursive Language Model that runs inside a persistent IPython REPL and a Continual Harness that refines its own state via /refine. It took the same frontier weights from 30.2% to 95.5% on ARC-AGI-3 RHAE Best@1, powered daemon-backed sessions, and ships no hosted offering.
OpenCodeReview (ocr) is Alibaba's open-source AI code-review CLI. It reads git diffs and drives an LLM agent through a hybrid architecture where deterministic pipelines handle file selection, rule matching, and comment positioning while the agent does the reasoning. Built on two years of internal use at Alibaba scale, it ships a multi-language ruleset and consumes roughly 1/9 of the tokens of general-purpose agents.
Multiplayer environment from Zed for coding with agents. Threads unify the agent conversation, the code edits, and human review in one shareable artifact, replacing the branch/PR loop. Built on DeltaDB, a CRDT-based version control layer that records every edit between commits alongside the prompts and reasoning that produced them.