Kage
Kage is a git-native verification layer for coding agent memory that checks every claim against your code to prevent hallucinations and stale facts.
Kage
What is Kage?
Kage vs Similar AI Tools
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How to use Kage?
- 1Install Kage with a single command: npx -y @kage-core/kage-graph-mcp install
- 2It automatically builds a code graph and wires into your agents (Claude Code, Codex, etc.)
- 3Memories are captured automatically and verified against your code before being written
- 4Recall: verified memories are injected into agent prompts when relevant
- 5Before merging a PR, run 'kage pr check' to flag any changes that invalidate team memories
Kage Key Features
- Automatic capture of agent memories as plain Markdown files in git
- Hallucinated citation rejection at write time
- Stale memory withholding at recall
- Diff-time stale-catch before PRs merge (kage pr check)
- Savings receipts showing tokens and cost saved per recall
- Cross-machine sync via your own git remote
- Trust benchmark (score 99/100) runnable on your own repo
- Zero-config install, no account or API key required
Kage Use Cases
- Prevent AI coding agents from acting on outdated or hallucinated facts
- Ensure team memory stays in sync with evolving codebases
- Review pull requests for conflicts with previously captured knowledge
- Build trustworthy long-term memory for agent workflows
Kage Pricing & Free Credits
Kage currently operates on a Free model.
Open Source
$0
Complete verification layer, auto-capture, receipts, sync over your own git remote. No account, no API key.
Kage Cloud
$0 (early access)
Memory follows you across machines via a private MCP link. Verification stays client-side. Waitlist open.
Team
Coming soon
Shared team memory with review gates. PR-reviewed trust model, hosted. Early design partners welcome.
Kage Pros & Cons
Pros
- Zero-config install, runs locally
- No account or API key needed
- Rejects hallucinated citations on write
- Withholds stale memories at recall
- Git-native: memories reviewed in the same PR as code
- Open source and free forever
Cons
- Cloud version still in early access
- Currently focused on MCP-compatible agents
- Team plan not yet available
What is Kage best for?
- Developers using AI coding assistants (Claude Code, Codex, Cursor, etc.)
- Teams that want verified, up-to-date memory for agents
- Open source projects seeking transparent, reviewable agent memory
Kage FAQ
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