Session journaling
Record file writes, shell calls, and LLM turns as part of a content-addressed journal so an agent run can be inspected after the fact.
Cognato AI
Cognato AI is a version-control system for autonomous agent runs. It helps teams branch, commit, roll back, and hand off agent sessions while preserving the run context.
Overview
Cognato AI is a version-control system for autonomous agent runs. The product, also referred to as Mach in the page text, is built to let teams branch, commit, and roll back agent sessions instead of treating them as opaque one-off executions.
Its core purpose is to preserve the context of a run so it can be inspected, handed off, or resumed later. The site positions it as useful when an agent gets stuck, when a better model should continue the same task, or when a team needs an auditable record of what the agent did.
The public site shows both an open-source, local-first CLI and a managed platform with registries, collaboration features, and enterprise controls. The source also shows account creation and GitHub entry points, but not a complete published pricing table in the collected text.
Core features
Snapshot and commit history
Save checkpoints as diffable, indexable snapshots and place them in a Merkle chain to make changes auditable and tamper-evident.
Branching and merge workflows
Fork an agent mid-task into separate branches so two approaches can proceed in parallel and the better result can be merged.
Model handoff and swap
Serialize a run’s full context and resume it with another model provider without starting the task over.
Session visualizer
Inspect branch, commit, and merge relationships in a topology view that shows how a session evolved over time.
Open-source and managed deployment options
Use the local-first open-source CLI for standalone runs, or the managed platform for registries, team workspaces, collaboration, and enterprise controls.
Common use cases
Debugging a stuck agent
Use the session history to understand where an autonomous run went wrong, including tool calls, file edits, and model turns that led to the error.
Model handoff mid-task
Pause a run after a blocker, serialize the exact context, and continue with a different model without re-prompting or rebuilding state.
Parallel solution testing
Fork a live session into two branches so separate agent paths can try different solutions and the better one can be merged back.
Team review and audit trails
Keep an auditable record of agent activity for teams that want to review file writes, shell commands, and checkpoints after the fact.
Shared team workflows
Use the managed platform’s registries and collaboration features when multiple people need to share, resume, or coordinate on the same agent session.
Pros and Cons
Pros
- Captures agent activity as a session journal, which makes runs easier to inspect after execution.
- Supports branching, rollback, and replay for agent work instead of forcing a fresh start.
- Can hand off the same serialized context to another model provider mid-task.
- Includes a visual session topology that helps explain how a run diverged and merged.
- Offers both open-source local use and a managed platform path for teams.
Cons
- The collected pricing page text does not include a clear pricing table or plan limits.
- Support details for specific integrations, deployment targets, or API access are not fully documented in the collected text.
- The product description is broad in scope, but the source provides only partial detail for some workflows such as setup and team operations.
FAQ
Is Cognato AI a CLI, a platform, or both?
The source describes Mach as a local-first CLI and SDK for recording agent sessions, branching runs, and swapping models mid-task. The managed platform adds registries, collaboration, and enterprise controls.
Is there a free version?
The public site shows account creation and GitHub sign-in prompts, and it says the open-source version is free to start. The pricing page did not expose a complete pricing table in the collected text.
Which model providers does it support?
The source says it works with major model providers including Anthropic, Google Gemini, OpenAI, Meta, Mistral AI, and DeepSeek.
What does it capture from an agent run?
The website says Mach records file writes, shell calls, and LLM turns into a content-addressed journal, then hashes checkpoints into a Merkle chain.
Quick Facts
- Product name
- Cognato AI
- Also referred to as
- Mach
- Category
- Developer Tool
- Platform
- Local-first CLI and managed platform
- Primary use
- Version control for AI agent runs
- Source domain
- cognatoai.com
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