Kira
Where agents shine. — MCP server that auto-manages Skills and Scars for AI agents.
Install / Use
claude mcp add benyalgx -- npx -y github:benyalgx/KiraIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of Kira
Kira scores 76/100 on our quality scale, 3715th of 4,658 Development & Engineering skills we index.
Its MCP Server is 11 KB long, well organised into 14 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so Kira is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Kira compared with similar skills
All 4 of these similar skills score higher than Kira; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| Kira (this skill)by benyalgx | 76 | 3 | 3mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 106.6k | 5d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 106.0k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.3k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.6k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install Kira?
- Run
claude mcp add benyalgx -- npx -y github:benyalgx/Kira. The install tabs above show the steps for each supported agent. - Which AI agents does Kira work with?
- It is written for Claude Code, Claude Desktop, Cursor and Cline, as a MCP Server file. Other agents that read the same format can often use it too.
- Is Kira safe to use?
- It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is Kira still maintained?
- The repository was last updated about 3 months ago, so Kira is actively maintained.
Skill content
View source on GitHubKira
Your agent stops repeating its own mistakes.
Every failed retry, every exception, every "wait — we hit this exact wall last week" is knowledge your agent throws away when the session ends. Kira keeps it. One MCP install and your agent records what burned it (a scar), sees its scars before it works again, and stops paying for the same mistake twice.
Privacy by design. Personal scars and the lookup-miss log are local-only — never uploaded, on any tier. Community telemetry is opt-in and redacts secrets, paths, and identifiers locally before write AND server-side before storage. Run
npm run demo:privacyto see exactly what leaves your machine. Full wire format and opt-out in PRIVACY.md.
Install (10 seconds)
Add this snippet to your MCP host config:
{
"mcpServers": {
"kira": {
"command": "npx",
"args": ["-y", "kira-mcp@latest"]
}
}
}
That's it. Your agent now has Kira.
<details> <summary><b>Per-client paths (click)</b></summary>| Client | Config file |
|---|---|
| Claude Code | ~/.claude/settings.json (global) or .claude/settings.json (per-project) |
| Claude Desktop | macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json |
| Cursor | ~/.cursor/mcp.json (global) or .cursor/mcp.json (per-project) |
| Cline / Continue | extension settings → MCP servers |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| VS Code (MCP preview) | .vscode/mcp.json |
| Goose | ~/.config/goose/profiles.yaml (under extensions:) |
| Zed | ~/.config/zed/settings.json (context_servers) |
The snippet above works as-is in every one of them — just paste it under mcpServers (or the equivalent key for your client).
The loop, in 30 seconds
Monday agent gates a merge on: npm run build 2>&1 | tail -1
exit code comes from tail, not the compiler → broken code reaches main
└─ kira_record_failure(
title: "build gate bypassed: exit code swallowed by pipe to tail",
instead: "never gate on a piped command without pipefail")
Tuesday new session, same machine
└─ session brief: "⚠ You have been burned by this before:
never gate on a piped command without set -o pipefail"
agent writes the gate correctly. Zero repeats. Zero wasted tokens.
Not a hypothetical — this is the actual first scar in the database, recorded by the agent that built this feature, about a mistake it made while building it. The next three scars came the same day. The loop works on day one, for a single user, with zero network effects required. FLYWHEEL.md documents the full improvement loop.
Tools (10)
| | Tool | What it does |
|---|------|-------------|
| Personal memory | kira_record_failure | Capture a retry/exception as a personal scar (local-only) |
| | kira_personal_brief | Session-start brief of your latest scars — start work already knowing where you got burned |
| | kira_premortem | Failure heat-map for a goal before starting — "here's where this kind of task has burned you" |
| Catalog | kira_lookup | Keyword → proven instructions + failure warnings. On a miss, returns scored near_skills / near_scars instead of a shrug |
| | kira_get | Fetch full step-by-step instructions by ID |
| | kira_route | Goal → ordered plan with a skill per step |
| Community | kira_share_scar | Promote a personal scar into a community submission (sanitized; nothing uploads without your click) — earns contributor status |
| Feedback | kira_report | Report success/retry/failure → feeds the quality loop |
| | kira_consent / kira_status | Telemetry consent + one-call introspection |
Auto-firing: you don't call Kira — Kira's MCP instructions tell your agent when to. Japanese queries are first-class (CJK bigram matching).
When nothing matches
A lookup miss is not a dead end — it's demand data. Kira returns the closest scored matches, records the miss locally (with what almost matched), and the weekly flywheel digest turns repeated misses into alias fixes and new-skill candidates. The catalog learns what people actually ask for.
The catalog layer (community skills & scars)

38 community skills across deploy / database / auth / payments / UI / testing / CI / infra / mobile / CMS, and 45 community scars — real failure patterns like "Vercel deploy succeeds but the app crashes: missing env vars" or "Auth.js v5 signIn imported from the wrong side". kira_route turns a goal ("build a web app") into an ordered plan with the right skill and scars per step.
Community scars are where personal scars graduate to — and the flow is live. Ask your agent to run kira_share_scar(scar_id): it re-sanitizes your personal scar, generalizes it, and hands you a prefilled submission link (nothing uploads until you click). An intake bot validates the JSON; a human reviews the content; on merge it ships to every Kira user. Prefer forms? Submit a scar directly.
Every accepted scar earns contributor status — sharing is how you get the fresh feed for free (see Contributing below).
How it works
Your agent hits a wall Your agent gets a task
↓ ↓
kira_record_failure() kira_premortem(goal) / kira_lookup(keyword)
↓ ↓
~/.kira/personal-scars/ scars first, then instructions
↓ ↓
next session: brief surfaces agent announces → executes → kira_report()
your scars before work starts ↓
↓ misses + failure notes feed the flywheel
never the same mistake twice → digest → catalog improvements
Skills are natural language Markdown — no executable code, no injection risk.
Why not just CLAUDE.md?
| | CLAUDE.md / .cursorrules | Kira |
|---|---|---|
| Setup | Copy per project | Install once |
| Failure memory | You write it by hand, if you remember | kira_record_failure — captured at the moment it happens |
| Recall | You re-read it, if you remember | Surfaced automatically at session start / task start |
| Selection | You choose | Agent chooses, scored |
| Updates | Manual | Automatic (flywheel) |
| Works across AI tools | Tool-specific | Any MCP client |
Not another "memory MCP"?
There are excellent memory servers (knowledge graphs, session recall, context handoff). Kira is deliberately narrower:
- Failure-first, not everything-first. General memory stores what happened; Kira stores what must never happen again, in a shape built for avoidance:
mistake→instead, severity, recurrence count. A pre-task heat-map (kira_premortem) exists only because the data is failures. - Recurrence is measured, not assumed. Re-recording a similar failure folds into the same scar and bumps
hit_count— the corpus learns which walls actually get hit, and honest counts are enforced by review. - The commons compounds. Your scar, sanitized and human-reviewed, ships to every install — and earns you the fresh feed (RECIPROCITY.md). Memory servers make one agent smarter; a scar corpus makes every agent immune.
- Trust is engineered, not implied. Corpus text is injected into agents' contexts, so every entry passes a sanitizer-stability gate in CI, natural-language-only rules, and human review (SECURITY.md).
If you need general episodic memory, run one of those servers alongside Kira — they don't compete for the same job.
Telemetry
Personal scars (~/.kira/personal-scars/) and the miss log (~/.kira/misses.log) are local-only and never uploaded. Community telemetry is separate and consent-gated:
| Mode (KIRA_TELEMETRY env, or kira_consent MCP tool) | What leaves your machine |
|---|---|
| off | Nothing. Local log only. |
| basic (default) | Anonymous core: skill ID, status, anonymous UUID, kira version, OS family, Node major version, free/pro tier. No free text. |
| full | Same as basic plus sanitized note / context (secrets, paths, identifiers redacted). |
Full schema, redaction rules, retention, and opt-out instructions: PRIVACY.md.
| Env var | Default | Purpose |
|---|---|---|
| KIRA_TELEMETRY | (unset → basic) | Override consent level for this process: off, basic, full. |
| KIRA_TELEMETRY_URL | https://kira-telemetry.workers.dev/v1/reports | Endpoint for batch upload. |
| KIRA_HOME | ~/.kira | Where consent state, personal scars, miss log, and flywheel output live. |
| KIRA_KEY | (unset → free tier) | Contributor / supporter key — unlocks the fresh community feed. |
| KIRA_REMOTE_URL | (unset → no network) | Opt-in corpus feed URL for the free tier (90-day-delayed commons). |
Share a scar, or subscribe, or wait
The corpus is MIT and everything in it eventually becomes free. Freshness is the only premium — failure knowledge decays as models retrain, so the newest scars carry the value:
| | Fresh community feed | How |
|---|---|---|
| Contributor | ✅ free | One accepted scar = 12 months (kira_share_scar → merge → key). First 1,000 contributors: permanent. |
| Supporter | ✅ paid | Sponsor the project → supporter key. Funds human review of every submission. |
| Free | 90 days later | Base corpus ships with npm; delayed commons feed available opt-in. Local features + privacy guarantees are free forever, on every tier. |
Currently in grace mode: the fresh feed is open to everyone until the corpus reaches 100 community scars. Full policy: RECIPROCITY.md.
Contributing
The first 1,000 contributors get permanent free access to all Kira features (fresh feed included) — see the reciprocity table above.
See CONTRIBUTING.md for how to add Skills and Scars.
Links
- npm
- The Flywheel — how the improvement loop runs
- Design Philosophy
- Business Plan
- Usage Guide
- Troubleshooting
Where agents shine — by remembering where they got burned.
A B Button Corporation project.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
