Patched 
Patched provides AI agents and automation for reliable software and regulated operational workflows, including code changes, remediation, and controlled task execution.
Starting price Free + custom pricing
Tool Information
Patched provides AI agents and automation for reliable software and regulated operational workflows, including code changes, remediation, and controlled task execution.
Teams define authorized repositories and policies, configure agent workflows, test changes in isolation, review diffs and evidence, approve deployments, and monitor outcomes.
Free or open components may be available, while managed and enterprise pricing is customized by usage, deployment, integrations, and support.
Autonomous code changes can introduce vulnerabilities, break systems, expose secrets, or exceed authority. Sandboxing, least privilege, review, tests, and rollback are required.
F.A.Q (3)
Pros and Cons
Pros
- Patched now positions its commercial platform around reliable AI for regulated operations
- The company invites organizations to begin with a difficult operational workflow
- Pricing can scale with operational volume rather than a fixed consumer subscription
- Its open-source Patchwork framework automates repeatable agentic workflows
- Patchflows combine reusable steps with task-specific prompt templates
- A PRReview flow can summarize a code change and comment on a pull request
- AutoFix supports automated bug-remediation experiments
- GenerateDocstring and GenerateREADME reduce routine documentation work
- Security-patching workflows can assist vulnerability remediation
- A self-hosted command-line agent gives developers infrastructure control
- Teams can select their preferred language models
- Open-source models can be used instead of a single proprietary provider
- Custom steps can create pull requests; commits; or model calls
- Custom patchflows and template steps use an Apache 2.0 repository
- The core Patchwork project accepts community contributions
- The published framework includes Python installation and GitHub automation examples
Cons
- The current homepage gives little detail about the regulated-operations product before a sales conversation
- Commercial pricing is not stated numerically
- The brand has pivoted beyond the developer-tool emphasis of older Patchwork descriptions
- Buyers must confirm which open-source features are present in the current hosted offering
- The Patchwork core is AGPL 3.0; which needs license review for networked modifications
- Automated code changes can introduce bugs; vulnerabilities; or incompatible dependencies
- A model-generated security patch can suppress a symptom without fixing the root cause
- Repository tokens must be limited to the minimum projects and actions required
- Prompts; diffs; logs; and source code can expose trade secrets to a hosted model
- Pull-request comments can be noisy or incorrect and should not block solely on AI judgment
- AutoFix needs tests; static analysis; dependency scanning; and human approval
- Using several model providers complicates data-processing and retention governance
- Workflow steps capable of commits or pull requests need branch protections and rollback plans
- Regulated operations require validated controls beyond a general agent framework
- The public roadmap contains prospective items that should not be assumed delivered
- Teams should pilot read-only review first and keep accountable humans at every state-changing gate
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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