korg

A causally-ordered, rewindable event-ledger for autonomous AI agents. Every step your AI agent takes, recorded in a hash-chained ledger you can independently verify — tamper-evident, zero trust, no blockchain.

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korg demo — record, verify, and rewind an AI agent session as a hash-chained ledger

AI agents are black boxes. When they fail, you can't debug. When they succeed, you can't reproduce it. When they do something wrong, you can't undo it.

Korg fixes this.

What Korg Does

Korg is a cognitive hypervisor — a runtime layer that sits beneath your AI agents and governs every decision they make.

It doesn't replace your LLM. It governs what the LLM does.

Foundation Model          →  predicts, suggests, generates
────────────────────────────────────────────────────────────
Korg Cognitive Runtime    →  schedules, validates, isolates,
                             reconciles, replays, heals, governs

Every agent action is:

• Appended to an immutable, cryptographically-signed ledger
• Ordered with Hybrid Logical Clocks (causal, deterministic, globally consistent)
• Replayable — rebuild exact state at any point in history
• Reversible — rewind the ledger to any prior sequence point

Try the Time-Travel Demo

You can run the built-in sandbox demo to see cognitive time-travel in action. The demo sets up a temporary workspace with a buggy Python script, lets a simulated coding agent make a wrong edit, catches the test failure, rewinds the workspace and ledger to before the edit, and speculatively commits the correct fix:

cargo run -- demo

You will see the complete, colorized time-travel sequence:

⚡ STARTING KORG COGNITIVE TIME-TRAVEL DEMO ⚡
────────────────────────────────────────────────────────────────────────────────
[korg] Initializing sandboxed demo environment...
[korg] Created temporary workspace with math_utils.py (subtraction bug present).

🚀 PHASE 1: AGENT INITIATES RUN (WRONG PATH)
  [seq 390] actor: agent:claude-code@0.2.29 | tool: user_prompt | prompt: "Fix subtraction bug and verify tests pass"
  [seq 391] actor: agent:claude-code@0.2.29 | tool: Read        | file: math_utils.py
  [seq 392] actor: agent:claude-code@0.2.29 | tool: Edit        | result: "Modified return a + b (wrong fix)"
  [seq 393] actor: agent:claude-code@0.2.29 | tool: Bash        | command: "pytest" -> ❌ FAILED (2 tests failed)

📊 LEDGER STATE (BEFORE REWIND):
  Before rewind: events 390-393 (prompt, read, edit-wrong, test-failed)
    ├── seq 390 (user_prompt) -> triggered_by: None
    ├── seq 391 (Read) -> triggered_by: Some(390)
    ├── seq 392 (Edit) -> triggered_by: Some(391)
    ├── seq 393 (Bash) -> triggered_by: Some(392)

⏳ PHASE 2: INITIATING REVERSIBLE REWIND TO SEQ 391
  [korg] Truncating journal ledger to sequence ID 391...
  [korg] Restoring workspace snapshot via git read-tree (O(1))...
  [korg] Reset math_utils.py file state back to sequence 391 bug state.
  [korg] Rebuilding 3 read-model projections...

📊 LEDGER STATE (AFTER REWIND):
  After rewind:  events 390-391 (prompt, read)
    ├── seq 390 (user_prompt) -> triggered_by: None
    ├── seq 391 (Read) -> triggered_by: Some(390)

🚀 PHASE 3: AGENT DIVERGES DOWN CORRECT PATH (SPECULATIVE REPLAY)
  [seq 392] actor: agent:claude-code@0.2.29 | tool: Edit        | result: "Modified return a - b (correct fix)"
  [seq 393] actor: agent:claude-code@0.2.29 | tool: Bash        | command: "pytest" -> ✓ PASSED (2 passed)

📊 LEDGER STATE (AFTER DIVERGENT RUN):
  After new run: events 390-393 (prompt, read, edit-right, test-passed)
    ├── seq 390 (user_prompt) -> triggered_by: None
    ├── seq 391 (Read) -> triggered_by: Some(390)
    ├── seq 392 (Edit) -> triggered_by: Some(391)
    ├── seq 393 (Bash) -> triggered_by: Some(392)

✓ DEMO COMPLETE: Time-travel execution succeeded!
  Ledger truncated, workspace rolled back, and a different future was successfully committed.

No other AI agent runtime lets you do this.

Core Architecture

Korg is built on the same theoretical foundations that make databases and operating systems reliable — applied to AI cognition for the first time.

┌────────────────────────────────────────────────────────────────┐
│  korg v0.1.0  │  session: 019e5333-efc9-7c70  │  ● ACTIVE      │
├───────────────────────────────┬────────────────────────────────┤
│  SWARM PLAN                   │  LIVE MERKLE LEDGER            │
│  ├─ [●] Captain  [PLANNING]   │  (tx_00)→(tx_01)→[tx_02]→...  │
│  ├─ [●] Harper   [RESEARCH]   │                                │
│  ├─ [●] Benjamin [SYNTHESIS]  │  TELEMETRY                     │
│  └─ [○] Lucas    [IDLE]       │  ├─ Velocity  85.2 t/s  ▇▆▄▂█  │
│                               │  ├─ Entropy    0.451     ▄▃▂▃▄  │
│  GOVERNANCE GATES             │  └─ Progress  68.7 %    ▂▃▄▅▆▇  │
│  ├─ 🟡 Amber Security [IDLE]  │                                │
│  ├─ 🟢 Consensus     [ACTIVE] │  LEDGER STREAM                 │
│  └─ 🔵 Steering Fork [IDLE]   │  [tx_03] Benjamin: patch auth  │
└───────────────────────────────┴────────────────────────────────┘

Quick Start

Build from source

The crate is not yet published to crates.io; install from source:

git clone https://github.com/New1Direction/korg
cd korg
cargo build --release
./target/release/korg --help

Python bridge (for korgex / korgchat)

cd crates/korg-bridge
maturin develop  # builds the PyO3 extension into the active venv
python3 -c "import korg_bridge; print(korg_bridge.__version__)"

Run your first campaign

# Interactive TUI dashboard
korg campaign --tui --prompt "Refactor the auth layer to use JWTs"

# Web cockpit at localhost:8080
korg campaign --web --prompt "Optimize the database connection pool"

# Pure autonomous goal mode (--goal is a top-level flag)
korg --goal "Write and validate a full test suite for src/parser.rs"

# Run the full multi-persona swarm on a REAL local model — every persona
# (Captain, Harper, Benjamin, Lucas, Evaluator) runs as a real worker
# subprocess doing real, measured, attested work. Defaults to a hermetic
# deterministic provider; `--provider ollama` makes it live.
korg --goal "Fix the failing test in src/lib.rs" --provider ollama --model qwen2.5:7b

# Preview without committing (dry-run; --preview is a top-level flag)
korg --preview "Refactor the main event loop"

Rewind & Verify

# Rewind the capability journal to a specific ledger sequence point
korg rewind --seq 4

# Drive the honest pipeline on a fixture and emit a verifiable ledger
korg run-once "Fix the add function in src/lib.rs so it adds"

# Same pipeline, but with a REAL local model (ollama) on an arbitrary task —
# the model writes the patch, Korg applies it, measures the real git diff +
# `cargo check`, and attests only what actually changed.
korg run-once "Fix the bug in src/lib.rs: max() returns the minimum.
Output the COMPLETE corrected src/lib.rs:
\`\`\`rust
$(cat your-repo/src/lib.rs)
\`\`\`" --repo your-repo --provider ollama --model qwen2.5:7b

# Independently verify any korg-ledger@v1 journal (no trust in the producer)
korg-verify <path-to-ledger.jsonl>

Honest by construction, with any model. The default provider is a hermetic deterministic stub (fixture-only, zero dependencies). --provider ollama runs a real local model on arbitrary tasks — Korg asks OpenAI-compatible providers for strictly valid JSON (response_format: json_object), so even a small (7B) local model lands a real patch reliably (measured 5/5 with qwen2.5:7b). Either way the attestation is measured, never fabricated: when the model produces a patch, the ledger attests the real git diff file count and changed paths; if it declines or writes a non-compiling change, Korg reports it honestly (an honest null — zero changed, zero attested — or a failed cargo check). The pipeline cannot attest a number the worktree does not actually show — that is the guarantee, independent of model quality.

Verify it in your browser — sends nothing. Zero-install, client-side verifiers (Web Crypto) for any korg-ledger@v1 journal or Certificate: verify a session · verify a Certificate · time-travel explorer. They hash-chain, check the causal DAG, validate Ed25519 signatures, and re-derive the human summary from the events — all locally.

Speculative branch/fork and named checkpoints (korg fork, korg checkpoints list|restore) are planned, not yet shipped. The reversibility surface today is korg rewind.

Cognition Modes

Korg adapts its intelligence tier based on task complexity. Modes are governed exclusively through the capability resolver — every switch is ledger-logged.

korg --mode research "Explore alternative approaches to the rate limiter"
korg --mode recovery "Carefully migrate the database schema"

Why Korg Exists

Current AI coding agents are probabilistic black boxes. They:

• Can't be replayed — same prompt, different output, every time
• Can't be rewound — one wrong action and you're manually diffing git history
• Can't be audited — no record of what the agent decided and why
• Can't be governed — no way to set policy boundaries at runtime

Korg treats AI cognition the same way a hypervisor treats compute and Git treats code:

If it's not in the ledger, it didn't happen.

Comparison

Korg is not an agent framework. It's the governance kernel that runs beneath all of them.

Technical Stack

Architecture Deep Dive

→ Read the full technical write-up

Real-World Audit Ledger Example

You can inspect a real-world cognitive audit ledger produced by Korg. This NDJSON file records a live session where Claude Code was prompted to call Korg's MCP tools to refactor a function and rename all call sites, capturing the full HLC causal graph and actor_id recorder metadata:

• Claude Code Session Causal Ledger (NDJSON)

The short version:

1. CapabilityResolver — the single authority for all runtime state. All reads and writes flow through it. No secondary state stores.
2. CapabilityJournal — the append-only WAL. Every cognitive event is sealed here with an HLC timestamp, causation chain, and cryptographic signature.
3. ProjectionEngine — pure state folds over the journal. Any read model can be rebuilt deterministically from the raw event stream.
4. ExecutionCheckpoint — snapshot of {ledger_offset, projection_state, lease_map, workspace_tree_hash}. Restores full runtime state in O(1) without replaying the entire event stream.
5. CapabilityExecutor — executes the physical effect DAG. Failures trigger automatic micro-healing before escalating.

System overview

flowchart TD
    Agent["MCP-compatible agent<br/>(Claude Code, Codex, korgex)"]

    subgraph Ingest["Ingestion paths"]
        MCP["mcp_server.py<br/>(MCP / JSON-RPC stdio sink)"]
        Bridge["korg-bridge<br/>(PyO3 in-process writer)"]
        Server["korg-server<br/>(Axum HTTP + SSE)"]
    end

    Journal["korg-registry · CapabilityJournal<br/>append-only WAL · HLC order · triggered_by DAG"]
    Chain["korg-ledger@v1<br/>hash-chain: prev_hash to entry_hash<br/>SHA-256 / HMAC + Ed25519"]
    Projection["ProjectionEngine<br/>pure folds to read models"]
    Rewind["rewind / rewind_with_seal<br/>truncate to seq + LedgerRewind tip"]
    Verify["korg-verify (+ Python / JS)<br/>verify_chain · verify_dag · sig · Certificate"]
    Runtime["korg-runtime<br/>multi-persona swarm · git-worktree sandbox<br/>arena · evaluator · run_once"]

    Agent --> MCP --> Journal
    Agent --> Bridge --> Journal
    Agent --> Server --> Journal
    Runtime --> Journal
    Journal --> Chain
    Journal --> Projection
    Journal --> Rewind
    Rewind --> Projection
    Chain --> Verify

Status

Korg is in active development, built on a frozen korg-ledger@v1 spec with cross-language conformance (Rust + Python + JS). Test footprint: 300+ Rust tests across the workspace plus Python/JS conformance suites, CI-gated (build · tests · cross-language oracle · differential fuzz) and green on main.

Shipped:

• Append-only, hash-chained cognitive ledger with HLC ordering
• Deterministic replay and projection rebuilds
• Reversible execution — rewind the ledger to any prior sequence point (tamper-evident LedgerRewind)
• Per-event Ed25519 signatures + structural anchoring (korg-ledger@v1 §8)
• Certificate (korgcert@v1) — a public, independently-verifiable certificate of agent work, with zero-install in-browser verifiers
• Honest pipeline (korg run-once) — real patch → real cargo check → an attested mutation count that equals the real git diff; never fabricates (reports an honest null instead)
• Live local model (--provider ollama) — real per-persona work on arbitrary tasks
• Multi-agent swarm (Captain, Harper, Benjamin, Lucas, Evaluator) — genuine worker subprocesses doing real, measured, attested work with DAG data-flow between personas
• Zero-config Claude Code capture (PostToolUse/Stop hooks → verifiable per-session ledgers)
• Micro-healing effect layer · TUI dashboard + Web cockpit
• Cryptographic provenance attestation · single-authority CognitionMode governance
• Preview / dry-run mode (--preview)

Planned / not yet shipped:

• Speculative branches / fork + execution-checkpoint restore CLI (primitives exist; CLI planned)
• cargo install korg on crates.io · npm-published verifier
• Live network anchoring resolver (trusted-time witness — the remaining honest limit)
• Remote swarm workers · WASM backends · IDE language-server integration · distributed checkpoint sync
• Fully passive capture without agent cooperation

License

Licensed under either of MIT or Apache-2.0 at your option.

_{Built with Rust. Governed by invariants. No black boxes.}