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GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. 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Works with Claude, Cursor, and any MCP client. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. 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Kage — a framework for collaborative agent memory
kage18 · 2026-06-21 · via Show HN

Git-native memory for coding agents

Your coding agent forgets everything. Kage gives it memory that's verified against your code.

Open, git-native memory your team's coding agents read and write together. Every lesson an agent learns becomes a file in your repo: versioned in git, reviewed in pull requests, shared across the whole team. Kage checks each one against your code, so deleted and stale citations get caught before they mislead anyone.

$ npx -y @kage-core/kage-graph-mcp install

One command sets up everything, then restart your agent. Or just tell your agent:

Set up Kage in this repo (https://github.com/kage-core/Kage): run npx -y @kage-core/kage-graph-mcp install, then tell me to restart you.

100/100 trust benchmark · 0 dependencies · no account, no API key · free & open source — or try it before installing anything: npx -y @kage-core/kage-graph-mcp scan --project .

Kage · savings receiptexample week

412Ktokens saved
this week
≈ $6.18

Recalls served from memory38

Stale memories caught & withheld4

Hallucinated citations rejected2

Caller questions answered from the graph11

your numbers, from your repo · kage gains or the viewer's live feed

How it works

Install once. It runs itself.

1 · Install

One command creates repo memory, builds the code graph, and auto-wires every agent on your machine.

2 · It takes notes

Learnings become packets — explicit or auto-distilled — and every citation is verified against your repo before it's written.

3 · Sessions start warm

A "previously…" digest opens each session; verified memory is injected the moment the agent reads a cited file.

4 · Diffs get checked

kage pr check warns when your change invalidates team memory — before the PR lands.

Capture — with proof

It takes notes. Then it checks them.

Learnings become packets as the agent works — explicitly, or auto-distilled from the session with a signal gate. Every citation is validated against your repo before it's written. A memory citing a file that doesn't exist is refused on the spot.

How a packet earns trust →

gotcha09:24

Don't merge the retry paths — one uses idempotency keys ✓ citations verified · src/payments/retry.ts · fingerprinted

decision09:41

Auth uses jose, not jsonwebtoken — CVE in the transitive dep ✓ citations verified · src/auth/session.ts · fingerprinted

refused09:52

"Use the helper in src/ghost.ts" ✗ rejected on write — no such path in this repo

stale10:05

Legacy retry helper is the fallback ⊘ withheld from recall — cited file deleted since capture

Recall — already warm

Every session starts knowing.

A "previously…" digest and a timeline of recent memory open each session automatically — and when the agent reads a file, verified packets citing that file are injected right then. Each recall prints the receipt.

Watch memory stream in, live →

SessionStart · injected~800 tokens

# Previously (Kage) Working on: payment retry consolidation Learned: retry paths must stay separate (gotcha, 2d) Drafts awaiting review: 1 · kage inbox # Recent memory [a3f9c2e1] gotcha retry paths — idempotency keys (2d) [7b21d4f8] decision auth uses jose, not jsonwebtoken (5d) [e8c50a93] runbook npm test --prefix mcp before release (1w) ↳ saved ~12K tokens vs re-reading source

Catch — before it merges

Your diff gets fact-checked.

No other memory tool does this: when your change invalidates what the team knows, kage pr check says so — in the same review as the code, with the fix one command away.

The stale-catch commands →

⚠ Your changes invalidated 2 team memories

Auth uses jose, not jsonwebtoken cites src/auth/session.ts — file changed in this diff fix: kage reverify --packet auth-jose · or kage supersede

Webhook retries are capped at 3 cites src/webhooks/retry.ts — constant removed fix: kage learn (update) — then this warning disappears

Sync — no account

Memory that follows you.

Personal memory lives in ~/.kage/memory and syncs over a private git remote you own. Conflicts resolve newest-wins with both versions kept — and synced packets are re-verified against the local checkout before any recall trusts them.

The sync & cloud design →

git@github.com:you/kage-memory.git● synced · 2 machines

kage syncyour remote, your keys

$ kage sync
pushed 2, pulled 1, resolved 0
$ kage learn --personal --learning "Always run the full suite before releasing"
✓ captured · personal · re-verified on every machine

Compare

Remembering is solved. Trusting isn't.

Capture-everything memory solves remembering. Kage solves trusting what's remembered — and a memory system that never re-verifies its own claims gets less trustworthy the longer you use it.

Already running claude-mem? Audit your existing store — read-only, no account: npx -y @kage-core/kage-graph-mcp audit-claude-mem classifies every observation as verified, drifted, gone, or unciteable.

Proof

Trust you can measure — on your own repo.

Most memory tools benchmark recall. Kage benchmarks the thing that matters when an agent acts: whether the memory can be trusted. Run it yourself; every number traces to a logged event.

kage benchmark --trust 0 deps · no API key

Trust score: 100/100  (PASS)
  Hallucinated-citation rejection: 100%
  Stale-memory exclusion:          100%
  Live grounding rate:              99%

the trust loop running live — a hallucinated citation rejected on write, a stale memory withheld from recall, and only grounded memory returned

See what your own repo is hiding first: npx -y @kage-core/kage-graph-mcp scan --project .

Early users

The receipts speak first.

Kage is days old in its current form — we'd rather show you a blank wall than fake quotes. These three spots belong to the first teams who run it.

"Your quote here — after we run the Truth Report on your repo, live."

— First design partner · book the demo

"Your quote here — after the first stale-catch saves your PR."

— Second design partner · book the demo

"Your quote here — after a week of receipts."

— Third design partner · book the demo

Used everywhere

Every MCP agent. Built in the open.

kage install auto-detects and wires everything on your machine. Claude Code users can also /plugin marketplace add kage-core/Kage.

Claude Code Codex Cursor Windsurf Gemini CLI Cline Goose Roo Code Kilo Code OpenCode Aider Claude Desktop Copilot OpenClaw Hermes any MCP client

100/100trust benchmark — hallucination & staleness

0 depsno API key, no database, no daemon

348tests passing on every release

Git-nativememory reviewed in the same PR as code

npm version npm downloads GitHub stars

Pricing

Free where it matters. Verified everywhere.

The open-source core is complete on its own — verification, receipts, sync over your own git remote. Local-first, private by default: secrets are scanned out and <private>…</private> is never stored.

Open source

$0 forever

Everything on this page: verified memory, Truth Report, receipts, auto-capture, repair, live viewer, 15 agents, kage sync over your own private git remote. No account, no API key.

Kage Cloud

$0 early access

Memory that follows you: your packets on every machine behind one private MCP link — verification stays client-side, so the cloud never sees your code.

Join the waitlist

Team

Coming soon

Shared team memory with review gates — the same PR-reviewed trust model, hosted. Early design partners shape it.

Book a demo

Early access

Stop letting your agent forget.

The open-source core installs in 60 seconds. Kage Cloud — memory on every machine behind one private MCP link — is rolling out to the waitlist first.

Waitlist is one click on GitHub — 👍 or comment to join. Demos are 30 minutes, your repo, live. Or skip the line: install the open-source core now.