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Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. 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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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GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. 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 - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang 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 - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. 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 - matisiekpl/neond: DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 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. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
GitHub - krimto-labs/krimto: Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.
paulbuiko · 2026-06-02 · via Show HN

Open-source memory for AI coding agents you own in git — governed by a real user→team→org hierarchy, not a vendor database. Solo to team. Apache-2.0.

License: Apache 2.0 npm CI

Your agent's memory, as markdown in your own git — synced across every editor and machine. Tell your agent "remember X" in any editor and it saves a durable, attributable fact; ask later — in a new chat, a different editor, or on another machine — and it recalls the right answer. One command, no account, no vendor database: your memory follows you.

You own it: every fact is a plain markdown file in a git repo you control — readable, reviewable in a PR, and yours. When a teammate joins, that same memory becomes a shared team brain governed by a real user → team → org hierarchy (the most specific scope wins at recall) — the one primitive no other memory tool ships. Solo is free; the governance is what you grow into.

See it

One npx command sets it up; then your agent saves a fact in Claude Code and recalls it in Cursor — no account, no database:

Krimto — save a fact in Claude Code, recall it in Cursor

Three short demos — solo (remember in Claude Code, recall in Cursor), cross-machine (write, git push, recall on another laptop), and team (a teammate's fact reaches you; your personal notes stay yours).

Because every memory is just a file in your git, you can read it yourself — no API, no dashboard needed:

$ cat ~/.krimto/user/you@example.com/favorite-color.md
---
id: fct_01KT3BDSYY1KK80SG3S7KBEV58
scope: user/you@example.com
title: Favorite color
author: you@example.com
created: 2026-06-02T05:03:14Z
updated: 2026-06-02T05:03:14Z
tags:
  - personal
source: claude-code
---

User's favorite color is red.

$ git -C ~/.krimto log --oneline -1
8bc5b86 krimto: write batch — 1 fact

That's the whole bet: your agent's memory is plain markdown in a git repo you own — not rows in someone else's database.

Why Krimto

  • You own it, in your git. Every fact is a markdown file in a git repo you control — git log the audit trail, edit it in any editor, review it in a pull request. No vendor database, no lock-in.
  • Governed user → team → org hierarchy. Knowledge is scoped to a person, a team, or the whole company, and the most specific scope wins at recall — a server-enforced primitive no other memory tool ships for free.
  • Follows you everywhere — cross-vendor, Apache-2.0. One MCP server syncs the same memory across Claude Code, Cursor, Codex, Gemini CLI and more — every editor and machine. Fully open source, with no managed-service restriction.

Try it in 2 minutes (solo, no account)

npx @krimto-labs/krimto init

The setup wizard detects your editor, wires it up, and turns on automatic memory. Then, in any chat:

"Remember that our staging DB resets every Sunday."

Open a new chat and ask:

"What do you know about staging?"   → it remembers.

See your notes with krimto notes (terminal) or krimto ui (browser dashboard). Your data lives in ~/.krimto — the same folder no matter which project you're working in.

Connect your agent

krimto init wires supported editors for you. What auto-connects vs. needs one copy-paste step:

Editor Setup
Cursor auto-connects
Claude Code auto-connects
Codex manual snippet
Gemini CLI manual snippet

To connect any MCP client manually, point it at Krimto over stdio:

claude mcp add krimto -- npx -y @krimto-labs/krimto

…or the config-file form (Cursor, Codex, Gemini CLI, etc. use the same shape):

{ "mcpServers": { "krimto": { "command": "npx", "args": ["-y", "@krimto-labs/krimto"] } } }

By default an agent uses Krimto only when you ask. Running krimto init once in your project drops a standing rule so it uses Krimto on its own.

Install as a Claude Code plugin

Prefer Claude Code's plugin system? Add Krimto's marketplace and install it directly:

/plugin marketplace add krimto-labs/krimto
/plugin install krimto@krimto

This bundles the MCP server together with Krimto's skills, the /krimto-status command, and the memory hooks — no separate krimto init needed.

How it works

Three layers, one source of truth:

  1. Storage — facts are markdown files in a git repository (the source of truth; git is the audit log).
  2. Index — a SQLite + sqlite-vec hybrid index (keyword + vector) for fast retrieval, with scope precedence applied at ranking time.
  3. Access — an API server enforces who can read and write each scope (user / team / org).

Team mode

When you're ready to share memory with teammates:

npx @krimto-labs/krimto team init

This walks you through an admin email, your org/team name, an optional shared git remote, and teammate invites — then prints a join command for each teammate:

krimto join --server <url> --key <key>

Teammates can connect to one shared server, or each run their own Krimto synced over a shared git remote. Personal and team notes live together and sync as a unit. Step back to solo any time with krimto team disband (your notes are preserved).

Self-host

Krimto runs anywhere Node 20+ runs.

# HTTP server + browser dashboard at http://localhost:8080
npx @krimto-labs/krimto serve

# or Docker
docker run -d -p 8080:8080 -v ~/.krimto:/data ghcr.io/krimto-labs/krimto:latest

Run npx @krimto-labs/krimto --help for the full command surface.

Roadmap

v0.2 (current) ships the memory core, teams, the web dashboard, and the cross-vendor MCP server. Next: OAuth sign-in and a pull-request approval flow (v0.3), then a hosted Krimto Cloud (v1.0). See ROADMAP.md.

Contributing & license

Contributions welcome — see CONTRIBUTING.md and our Code of Conduct. Security reports: SECURITY.md.

Licensed under Apache-2.0. The same code is self-hostable by a solo developer or an enterprise — no tier walls.