Collaboration Tool for AI
Push, pull, and clone agent sessions. Switch models mid-task and collaborate on AI workflows with your entire team.
AI agent sessions are isolated, opaque black boxes. When an agent hits a wall, you can't easily hand off its context. When it makes a mistake, enterprises have no way to audit its reasoning. Traditional version control tracks human code, not autonomous agent intent.
Treat agent memory like a git repository.
Cryptographically verify every agent action.
Mach establishes a standard protocol for serializing, versioning, and verifying agent memory, allowing seamless operations across any model or platform.
Agents run in a Mach-wrapped environment that deterministically records context, memory, and actions as Git-like commits.
Every agent step is hashed and linked, creating an immutable, verifiable ledger of autonomous intent and execution.
Push sessions to the remote registry. Team members can pull, branch, and swap to different local or remote models seamlessly.
Unlock entirely new workflows when agent memory is decoupled from the execution engine.
Every session is a ledger of sequential steps: inputs, reasoning traces, tool executions, and outputs. Branch off at any step to explore different outcomes, test parallel prompts, or swap models mid-task.
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