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Kineti

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Kineti: spend cap, undo, and test proof for AI coding agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for kineti, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Kineti OS v0.3.6

npm version crates.io license: MIT

Spend cap, transactional undo, and proof receipts for AI coding agents.
A lightweight open-source (MIT) safety harness that runs under Claude Code, Cursor, OpenCode, Codex, Antigravity, Cline, and fx.sh.

text
$ kineti spend status
total $0 of $50; entries 0; tripped=false

$ kineti spend log --stage build --model sonnet --tokens-in 400000 --tokens-out 200000
logged $4.2 (stage build); run total $4.2

$ kineti spend log --stage build --model opus --tokens-in 100000 --tokens-out 60000
kineti: SPEND BREAKER TRIPPED: stage build total $10.2 reached ceiling $9.5 (exit code 3)

$ kineti spend check
kineti: TRIPPED: stage build total $10.2 reached ceiling $9.5 (exit code 3)

$ kineti spend reset
kineti: reset requires --i-am-human (breakers are human-only) (exit code 2)

$ kineti spend reset --i-am-human
breaker reset by human (exit code 0)

Key Pillars

1. The 360º Human Model & Epistemic Engine

Personalized agents must understand the full human context without hallucinating, overriding user statements, or quietly mutating goals when third-party systems push back:

  • Multi-Scope Context Isolation: Strict context isolation across Global, Domain (Health, Work, Finance, Schedule, Taste), and Relationship (person-to-person) scopes. Scoped facts never leak into generic or un-scoped queries.
  • Epistemic Certainty Tiers: Enforces DirectlyKnown (explicit user ground truth) > ObservedPattern (behavioral patterns) > Inferred (hypotheses). Machine inferences are strictly blocked from overwriting explicit user statements.
  • Rule-Exception Hierarchies: Resolves complex user lifestyles unambiguously: BaselineRule (e.g. Vegetarian) $\to$ PermittedException (e.g. Eats eggs) $\to$ Preference (e.g. Prefers low dairy) $\to$ SafetyCeiling (e.g. Peanut allergy).
  • Verbatim Root Goal & Anti-Drift Engine: Anchors autonomous task chains to the exact, unmodified words uttered by the user and their explicit definition of "Done". Every step is inspected against the original ask, eliminating the multi-step "telephone game". Intermediate steps and tools are treated as expendable scaffolding.
  • Friction Triage Ladder ("Clean No over Dirty Yes"): Triages real-world obstacles through 3 levels:
    1. Noise: Transient blips auto-retry with exponential backoff.
    2. Broken Surface: Broken websites or portals silently reroute to alternatives.
    3. Real Constraint: Hard third-party refusals escalate immediately with a clean impossibility report. Sunk costs are written off ($0 sunk-cost fallacy), and quiet compromises (such as accepting budget overruns) are strictly blocked.
  • Commitment-Time Verification: Re-checks perishable facts (fares, seat availability, stock levels, auth tokens) at the exact millisecond of external or financial commit, never trusting cached plan snapshots.
  • Asymmetric Gap-Filling: Cheap, reversible gaps are filled automatically and disclosed in audit evidence; expensive or irreversible gaps halt execution to ask the user.
  • Reputation Gating & Ingress Defense: Outbound communication is treated as a non-regenerating resource (knowing an identity does not equal permission to contact). Incoming external messages and webhooks arrive as untrusted data, never instructions.

2. Native Rust Nervous System Substrate (core-native/)

  • Double-Buffered Atomic Snapshots: Two-slot RwLock snapshot design with thread-safe read paths and deferred epoch reclamation of retired instances. Latency figures are withheld until reproducible benchmark scripts land in the repo.
  • Universal 20-Entity Provenance Kernel: Content-addressed RFC 8785 JSON canonicalization with BLAKE3 and SHA-256 digests (hand-rolled under a zero-external-dependency constraint; see docs/PLAN.md for rationale and test vectors).
  • Monotonic Hybrid Logical Clock (HLC): Physical and logical causality tracking under clock skew.
  • 3-Way Graph Commit Gate: Rejects causal inversions, topological DAG cycles, and single-byte state tampering.
  • Sensory Reflex Triage: Fast sensory classification dispatching zero-token emoji reactions for low-information conversational stimuli.
  • Protocolized Connectors: Standard KinetiConnectorProtocol trait with consequence level gating (Trivial, Operational, HighConsequence) and single-use SHA-256 payload authorization tokens.
  • Spend Circuit Breaker: Deterministic trip at 95% of limit ($47.50 of $50.00 ceiling) with OS exit code 3 halt.

3. TypeScript Governance Control Plane (bin/, src/)

  • 13-Stage Software Factory: Strict stage-gated lifecycle ensuring specifications, implementations, and test proofs precede release.
  • Transactional SAGA Undo Stack: Guarantees LIFO file reversibility before every mutation.
  • Cryptographic Evidence Binding: Cryptographic SHA-256 receipts bound to exact workspace code fingerprints via kineti-evidence.ts.
  • Apple HIG Visual Companion: Local web dashboard built with Apple Human Interface Guidelines (<12 KB payload, zero runtime JS frameworks).
  • Universal Model Context Protocol (MCP): 12 native governance tools exposed to Cursor, Claude Code, Antigravity, and Codex.

4. Verified Test Counts & Evaluation Roadmap

  • What is verified today: 168 TypeScript governance tests and 251 native Rust tests (unit plus integration suites), 0 failures (419 total passed tests), bound to workspace code fingerprints through delimited SHA-256 evidence receipts (bin/kineti-evidence.ts).
  • Frontier figures in src/harness/benchmark.ts are design targets, not measured results: the ALE 76.4% pass rate, SWE-bench 4.2 min MTTR, and $0.31 per-outcome numbers are goal constants for the evaluation program. They have not been produced by empirical runs.
  • Kineti Hostile 100 (in development): a public suite of 100 hostile tool calls against the gate with published method and published failures. This is the benchmark the project intends to be judged by.
  • Directional Normalized Trust-Weighted Impact (DNTI): three-factor loss-averse outcome verification ($\Phi \times \sigma_\tau(SE) \times \Psi(\mathcal{T})$) designed to resist Goodhart-style metric gaming.
  • Cost Per Verified Outcome ($/Outcome): design goal of pricing work in verified business outcomes instead of raw token consumption.

Quickstart

1. Install via npm

Prerequisite: The CLI is distributed on npm and runs on Node.js (>= 18), but requires Bun (>= 1.1) installed on the system for governance execution (curl -fsSL https://bun.sh/install | bash).

bash
# Install globally (latest)
npm install -g kineti

# Or pin to the current stable release
npm install -g kineti@0.3.6

# Or run directly with npx
npx kineti --help

2. Connect to Your AI Editor or Agent Host

Run Kineti directly as an MCP governance server inside your AI editor to enforce spend caps ($50 ceiling), transactional SAGA undo, and cryptographic test verification.

Automatic Setup for All Hosts

Run Kineti's auto-configurator in your project directory:

bash
kineti init

This automatically detects your installed hosts (Claude, Cursor, OpenCode, Codex, Antigravity, fx.sh, Gemini, Cline) and links project rules and MCP configurations.

Manual Configuration by Editor

Claude Code (CLI):

Terminal
claude mcp add kineti npx -y kineti mcp

Cursor & Windsurf: Add to your project's .cursor/mcp.json or Cursor Settings $\to$ Features $\to$ MCP:

config.json
{
  "mcpServers": {
    "kineti": {
      "command": "npx",
      "args": ["-y", "kineti", "mcp"]
    }
  }
}

OpenCode:

bash
opencode mcp add kineti npx -y kineti mcp

Or add to ~/.config/opencode/opencode.jsonc.

Codex (CLI): Add to ${CODEX_HOME:-$HOME/.codex}/config.toml:

toml
[mcp.servers.kineti]
command = "npx"
args = ["-y", "kineti", "mcp"]

Google Antigravity & Gemini: Run the automated host configurator:

bash
kineti init --host antigravity

Fx.sh: Install skill rules directly to your fx environment:

bash
kineti init --host fx

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

config.json
{
  "mcpServers": {
    "kineti": {
      "command": "npx",
      "args": ["-y", "kineti", "mcp"]
    }
  }
}

Cline / Roo Code: Add a new stdio MCP server in settings:

  • Server Name: kineti
  • Command: npx
  • Args: ["-y", "kineti", "mcp"]

3. Core Governance Commands

bash
# Start the visual companion dashboard (Apple HIG)
kineti companion
# Open http://127.0.0.1:8788

# Start the MCP governance server directly
kineti mcp

# Check spend circuit breaker status ($50 default ceiling)
kineti spend check

# Run tests and save cryptographic proof receipt
kineti test -- echo hello

# Verify cryptographic test evidence freshness
kineti test check --label test

# Run stage-agnostic CI verification
kineti ci

4. Native Rust Engine & Crates.io

All 8 native crates are published on crates.io:

bash
# Add native core nervous system to your Rust project
cargo add kineti-core

# Or install the native CLI binary directly
cargo install kineti-cli@0.3.6

# Run all 251 native Rust unit and integration tests locally
cargo test --manifest-path core-native/Cargo.toml

# Run the 5 native verification demo flows
cargo run --package kineti-cli -- test-all

Repository Structure

Read the full README →View source on GitHub →

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Frequently Asked Questions about Kineti

We don't have a confirmed install command for kineti yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/therawlogs/kineti) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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25Quality signal: Emerging · 25/100How this signal is calculated ▾
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools10/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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