Why Bond
exists.
AI work should not reset every time you open a new tool. Bond was built for people who already use AI seriously, but feel the hidden cost of working across disconnected tools.
One conversation in ChatGPT. Another in Claude. Research in Perplexity. Implementation in a coding assistant. Notes, documents, screenshots, meetings, and decisions somewhere else. The models are powerful. The work still fragments.
Bond exists because serious work needs continuity.
Why Bond exists
Most AI tools are optimized for the session. You open a chat, explain the project, provide context, ask for help, get a useful answer, then repeat the same process somewhere else tomorrow. That works for simple questions. It breaks down for real projects.
Real work has history. It has decisions, constraints, rejected options, source material, terminology, assumptions, and unresolved questions. It has people or roles looking at the same problem from different angles.
If AI is becoming part of serious work, then the workspace around AI needs memory, coordination, and control. That is the problem Bond is built to solve.
What Bond is
Bond is a secure, local-first AI workspace where serious work keeps its memory. It lets you create persistent AI specialists, work across multiple model providers, review what should become durable project memory, and return to a project without rebuilding the same context every time.
Bond is not a hosted AI model. It is not an autonomous agent platform. It is not a generic chatbot wrapper. It is a private desktop workspace for people who want their AI work to continue across sessions, tools, and decisions.
Free to start · Free to keep using
Bond is free to download. You do not need a credit card to install it. You do not need to provide an email just to try it. You can use Bond for free for as long as the free tier fits your work.
A lot of software tries to turn interest into a payment flow as quickly as possible. Bond takes a different view. A local AI workspace should earn trust before it asks for money.
The free version is not a fake product. It is a real way to use Bond with limits. Pro exists for people who want the larger workspace: more memory, more teammates, more workspaces, more documents, Sync, Council, Meetings, Background Tasks, MCP write-back, and advanced export.
What we charge for
Bond charges for the coordination layer. That means the workspace, memory system, review flow, teammate structure, local app, and Pro features around your AI work.
Bond does not charge for model usage. You bring your own API keys for the model providers you choose, such as OpenAI, Anthropic, Gemini, or Perplexity. You pay those providers directly at their published rates.
- We do not mark up inference.
- We do not take commissions from model providers.
- We do not make money from how many tokens you use.
- We do not have a financial reason to push you toward one model over another.
That separation is intentional. Your model usage should be between you and the provider you choose. Bond’s business is the workspace around that usage, not a hidden margin on top of it.
What we believe
Your context should stay yours
Bond is local-first. Your workspace, memory, conversations, documents, and teammates live on your machine. Bond does not host your workspace data.
Your models should remain your choice
Bond is BYOK: bring your own API keys. You choose the model providers you want to use. Bond does not mark up inference and does not take a cut from usage.
Memory should be reviewed, not silent
Bond does not treat every conversation as permanent truth. Important facts, decisions, and terms can become memory, but the user remains in control. Proposed memory goes through review before it becomes durable project context.
AI should extend judgment, not replace it
Bond is designed around direction, review, and approval. The goal is not to remove the human from serious work. The goal is to reduce the cost of carrying context while keeping judgment visible.
Business should be straightforward
We believe users should understand what they are paying for. No forced credit card before trying the product. No email required just to download. No inference markup hidden behind a friendly interface. No commissions from model providers. No business model that depends on looking at your work.
If Bond is useful enough for your serious work, Pro should be worth paying for. If it is not, the product has not earned it.
Built by LaGuardAI
Bond is built by LaGuardAI. LaGuardAI’s broader work is focused on AI trust, governance, security, and control. Bond brings that same trust-first posture to the individual workspace.
The product reflects a simple belief: if AI is going to become part of serious work, then privacy, memory, provenance, and human control cannot be afterthoughts. They have to be part of the architecture.
Built by Yoram Golandsky
Bond was founded by Yoram Golandsky, a cybersecurity executive and AI builder with more than 25 years of experience in security, risk, governance, and technology leadership.
That background shaped Bond’s design. The product starts from a security operator’s instinct: know where data lives, know who can see it, know what became durable truth, and keep the human decision-maker in control.
For early users
Bond is currently in beta. That means the product is real, installable, and already useful, but still early enough that feedback matters.
The best way to try Bond is simple: start with one serious project. Do not move your whole life into it on day one. Create or import one workspace, add a few specialists, run a Council or Sync, review the memory Bond proposes, and see whether the next session starts with less re-explaining than the last one.
That is the test. Your work should compound. Your AI tools should stop acting like strangers. Your thinking should continue.