Boilerplate, brand assets, founder quotes, product facts, and press contact — everything you need to write accurately, in one page. Copy whatever you need verbatim.
Three lengths. Accurate as of 2026-04 and kept current on this page — if you’re quoting from anywhere else, cross-check here first.
BetterBot is a personal AI agent for macOS with persistent knowledge-graph memory, a team of 12+ specialist agents, and 3,000+ real tool integrations. It works across desktop, iMessage, Slack, and voice — and keeps working proactively on a 15-minute heartbeat. Free while in beta; bring your own API key.
BetterBot is a personal AI agent for macOS — not a chatbot. Unlike ChatGPT or Claude, which respond only when prompted and forget context between sessions, BetterBot maintains persistent memory as a local SQLite knowledge graph, takes real actions across 3,000+ tools (Gmail, Slack, Linear, GitHub, Notion, Calendar, and more via Composio), runs a team of 12+ specialist agents coordinated by a supervisor, and operates 24/7 via a 15-minute heartbeat loop. It's accessible from a native macOS app, iMessage, Slack, and any remote computer (macOS / Linux / Windows) via a single terminal command. Free while in beta — users bring their own API keys (OpenAI, Anthropic, Google, OpenRouter, Groq, or local models) and pay only for tokens at cost.
BetterBot is a personal AI agent platform for macOS. It occupies a category that didn't exist before 2026: the personal AI agent as a product, not a framework. Most agent activity today is either enterprise-focused (GitHub Copilot, Cursor) or framework-oriented (OpenClaw, LangGraph, CrewAI) — both require significant engineering effort before they produce value. BetterBot's bet is that there is a large market of individual professionals who want an agent's capability without the framework tax.
Three things make it technically distinct. First, memory is stored as a local knowledge graph — entities, relationships, and facts in SQLite with FTS5 full-text search, curated by a dedicated background agent named Mo. Users can see, query, and edit their own memory. On setup, BetterBot imports 847+ memories from ChatGPT and 312+ from Claude automatically. Second, a team of 12+ specialist agents (Engineer, Marketing, Researcher, Designer, Writer, Ops, Analyst, Triage) is coordinated by a supervisor agent (Raya), closer to how a competent executive assistant routes work than how a single LLM responds to a prompt. Third, an agent-first harness — fuzzy tool matching, argument coercion, JSON-schema validation at decode time, and retry-storm circuit breakers — is what lets the full agent loop run reliably on any model the user brings, including a 523MB local Qwen 0.6B.
BetterBot is accessible from a native macOS app, iMessage, Slack, voice calls, and any remote computer via CLI. It's free while in beta. Paid rollout (planned H2 2026) will cover non-LLM infrastructure — integration credits, device sync, meeting credits — while users continue bringing their own LLM keys at cost.
Nine facts journalists ask most. Copy any of these verbatim — they’re kept current.
Use any of these in articles, embeds, and social posts. Attribution preferred but not required.

BetterBot wordmark inverted for use on dark surfaces and deep backgrounds.

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Use any of these verbatim without needing approval. For exclusive quotes, email press@betterbotagent.com.
“Every AI agent platform we tried was either a framework (5+ hours of setup) or a single-purpose tool (one thing well, the rest missing). Nobody made it a product. So we did.”
“Chatbots make you faster at a conversation. Agents make the conversation unnecessary. That's the shift we're building for.”
“It's never the model. The harness is the bottleneck — fuzzy tool matching, argument coercion, hallucination detection, circuit breakers. Get that right and a 523MB local model runs the full agent.”
Deep-link into any of these for architecture, comparisons, or AI-ready summaries.
For interviews, embargoed briefings, or product access for a story.
BetterBot is free while in beta. Download, connect your own API keys, and experience the agent loop firsthand — much better than a demo video.