Tracekit

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SUMMARY

Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.

README.md

Tracekit: the tamper-evident flight recorder for AI agents

Agents can edit logs. They can't hide the edit.

Tracekit checks every tool call your agent makes before it runs, signs each call and decision into a hash chain,
and gives you one .tkb file per run that anyone can verify offline.

PyPI
Works with 13 agents and frameworks
CI
MIT licence

8 of 8

tamper attacks caught
480 trials, with a witness (E1)

462 of 462

harmful calls stopped
11 classes, 1 false alarm in 668 (E17)

< 1 ms

added per tool call
0.91 ms at p99, signer round trip (E9)

8 of 8

insider attacks caught
a merge gate on every PR (E8)

Built like Certificate Transparency: signed records in an append-only log that independent witnesses cosign

Open file format · verifiers in Python and TypeScript · MIT · runs on your own machines

Try it · Add it to your agent · What it proves · What's in it · Proof · How it works · Contribute · Docs


When an agent does something it shouldn't, you ask three things: what did it do, was it allowed, and can you trust
the record?
The agent's own log can't answer the third, because the agent can edit it. Here is one run, recorded
both ways:

What happened: a support ticket hides an instruction, the agent deletes 43 of 128 orders, then edits its log and Tracekit's record so the delete reads as a lookup. The agent's own log shows two lookups of order 1042; grep finds no DELETE, and the database holds 85 orders: it looks clean. Tracekit, the same run: the 13:51:59 run_sql call is flagged ACME-F001 deleting rows, and when the run closed verification failed with seq 7: hash does not match the event. Caught at record 7.

A ticket with a hidden instruction makes a support agent delete 43 orders, then edit its own log and Tracekit's record of the delete. grep finds no delete; Tracekit marks the run FAILED because record 7 no longer matches its hash.

The same run, recorded: the database, the signer, the viewer and both edits are real; the model is scripted. Watch it with sound (1:47)

In this demo the signer ran as the agent's own user (dev mode), so an agent that knew how could have read the key and
re-signed the log. Run the signer where the agent can't reach it, with a witness, and it can't.

Try it

uvx --from tracekit-ai tracekit demo --server

No API key, and nothing to install with uv. From an empty cache on a Mac it took 5
seconds (10 with pip install tracekit-ai in a fresh venv). A scripted agent makes three calls, and you should see:

== agent run (SCRIPTED: fixed tool calls, not a model)
  Bash 'ls': allow
  Bash 'sudo rm -rf /': deny TK-D001 TK-D004 TK-F003
  Bash 'echo "unterminated': ask TK-SHELL-PARSE
...
Integrity: VERIFIED.

== tamper test: rewrite the denied call as allowed in a copy, then verify again
[FAIL] signatures — 11 record(s), keys valid at their position
        seq 4: hash does not match the event
Integrity: FAILED.

The delete was denied before it ran, the held call ran after an approval, and the run verified. Then the demo rewrote
the denial as allowed in a copy, and verification failed at the record it changed.

Add it to your agent

Three lines:

pip install tracekit-ai
import tracekit; tracekit.instrument()     # the first line of your agent; then run it as usual
tracekit last                               # Integrity: VERIFIED. / Assurance: dev; ...

tracekit.instrument() starts a dev signer (or reuses the running one) and gates and records every tool and model call
of the frameworks it finds. tracekit last exports your latest run, verifies it and says where it is.
tracekit view --dev shows every run. On a clean machine the LangGraph example (a mock model, no API key) installed,
ran and verified in 27 seconds: examples/v2/clean-machine.sh langchain.

Works with Claude Code, Codex CLI, Cursor and Gemini CLI; the Python and TypeScript SDKs; the OpenAI Agents SDK, Claude Agent SDK, LangChain, LangGraph, MCP, CrewAI, Browser Use, the Vercel AI SDK and OpenTelemetry

Stable: Claude Code, the OpenAI Agents SDK, LangChain / LangGraph, the Claude Agent SDK and MCP. Experimental: Codex
CLI, Cursor, Gemini CLI, CrewAI, Browser Use and the TypeScript SDK. Setup:
coding agents ·
OpenAI Agents SDK ·
Claude Agent SDK ·
LangChain / LangGraph ·
MCP ·
CrewAI ·
Browser Use ·
TypeScript ·
OpenTelemetry ·
any other agent

Other ways in: coding agents, without uv, the why demo, the sample bundles, TypeScript

Coding agents: tracekit init --dev --v2 wires Claude Code's hooks to a dev signer; add --agent codex, cursor or
gemini for the others (experimental). Without uv: pip install tracekit-ai, then tracekit demo --server. --why
(experimental) shows a held
email whose cause is found by replay and cited by its signed record:

tracekit demo --server                # exit 0
tracekit demo --why                   # exit 0
tracekit init --dev --v2

From a checkout, the shipped sample bundles (v1) check with the verifier alone (pip install --no-deps tracekit-ai is
enough), and python examples/v2/langchain/agent.py --scripted runs a LangGraph agent with a mock model:

tracekit verify docs/sample/demo-run.tkb --key docs/sample/signer.pub            # exit 0
tracekit verify docs/sample/demo-run-tampered.tkb --key docs/sample/signer.pub   # exit 1

TypeScript needs Node 18 or newer: npm install @cygnuxlabs/tracekit, and npx @cygnuxlabs/tracekit up starts a dev
signer without Python on Apple Silicon Macs, Linux and Windows (TypeScript SDK). Python 3.9 to
3.13; the framework integrations need 3.10 or newer.

What it proves

Three guarantees. They're related, but one doesn't give you the others, and each needs something different.

Guarantee What you get What it needs
Evidence integrity A record that was edited, deleted, swapped or inserted fails verification at that record Only the signed log. Cutting off the end of the log, or re-signing it with a stolen key, takes a witness to catch
Execution control Each call is checked before it runs. A denied call is blocked; a held call runs only after a yes, with exactly the arguments that were approved The call goes through Tracekit: an SDK, a hook or a gateway. Code that skips it isn't stopped
Independent assurance An operator who rewrites or forks its own log is caught A witness the operator doesn't control, and a monitor. Both are experimental, and no public witness is running yet

Limits

  • Dev mode protects nothing against an agent that runs as you. Dev runs say isolation: same-user
    (FAQ).
  • A verified run proves the record is intact: not intent, not that a reported tool result is true, and not that
    every action was captured (FAQ).
  • Actions outside the capture path leave no record, such as a subprocess a hook never sees or code that skips the
    adapter (adapters).
  • Policy rules match text and tool names. A determined agent can reword a command; the protection is the signer's
    isolation (policy reference).
  • Commitments hide content, not timing, sizes or counts
    (privacy).

Every limit, with what to do about it: limits.

What's in it

One signer. The core is stable and is hardened first. The rest ships in the same package as experimental: it works and
is tested, but may change between releases (what's stable).

Core What it does Measured
Record Every tool call, decision and result in one signed hash chain per run. A lost event becomes a signed gap, never silence 6 of 8 tamper attacks caught by the log alone (E1)
Decide Allow, deny, or hold each call for a person, before it runs. Packs for shell, files, SQL, HTTP, cloud CLIs, browsers, email, messaging, payments, secrets and MCP 462 of 462 harmful calls stopped, 1 false alarm in 668 (E17)
Approve A held call runs only after a yes from the command line, bound to its exact arguments and used once (approvals) Edited arguments, a replayed snapshot or another run's approval: refused, in the contract tests every stable framework integration runs
Prove tracekit verify checks a run's file offline against keys you pinned 8 of 8 insider attacks caught (E8)
Watch tracekit view: every run verified, blocked and held calls, approvals, gaps, replay and a run review (viewer) Not measured
Experimental What it does Measured
Witness Independent witnesses cosign each checkpoint; a monitor watches the log for rewrites and forks 8 of 8 tamper attacks caught with a witness (E1)
Cross-check The signer compares the calls the model asked for, as an LLM gateway or the session transcript saw them, with the calls the agent reported. A skipped hook or a made-up call is flagged 12 of 12 seeded discrepancies flagged, 0 false (E10)
Contain Signed incidents hold or quarantine a run. Tools run on credentials the agent never holds (executor, MCP gateway). An egress observer flags traffic no call explains 8 of 8 containment and 10 of 10 detection checks (E17)
Explain Where each argument came from, and tracekit why: which input caused an action, found by replaying the run without it 6 of 6 true causes named, 0 false blames, one 7B model, small sample
More approvers A web page with passkeys, Slack, or a reviewer agent that approves within bounds 7 of 7 abuse cases against agent approvers caught (E18)

Proof

Our own experiments: small, synthetic and written by us. Nothing rounded up. The misses stay in.

Tamper detection, 60 trials per attack. The signed log alone catches editing, deleting, swapping or inserting a record, re-chaining without the key and a torn last line in 60 of 60 trials, and misses truncating the tail and re-signing with the key (0 of 60). With a witness, all eight are caught in 60 of 60.
Experiment Setup Result
E1 tamper detection 120-record signed logs, 8 attacks, 60 trials each, re-run on 1.2 6 of 8 caught by the log alone, 8 of 8 with a witness
E8 insider attacks Real unprivileged users against a Linux system-mode signer: a decoy signer, a stopped signer, a swapped policy, fabricated runs 8 of 8 caught, a merge gate on every pull request
E17 policy packs 462 harmful and 668 benign tool calls in 11 classes, decided by both regex engines 462 of 462 stopped; 1 false alarm, a draft email held for a person
E10 reconciliation 30 runs, 12 with a seeded discrepancy: a missing hook, a fabricated call, changed arguments 12 of 12 flagged, 0 false positives
E9 overhead Signer round trip over a Unix socket, file storage, macOS quick run 0.45 ms p50, 0.91 ms p99 per call; 5,356 events/s
E3 the v1 regex gate, on a rougher set 16 harmful and 20 benign calls written after the rules 12 of 16 caught, 1 false alarm. Rules are tripwires, not a sandbox

The two E1 misses are the design: a log can't see its own tail cut off, and whoever holds the key can re-sign it. Only
a copy of the head held elsewhere, a witness, catches those, so an unwitnessed run verifies as dev. The test sets
were written by us, and no one outside has reviewed the threat models yet. Every experiment, and what isn't
measured: evaluation ·
technical report.

How it works

1. Your agent, through its SDK or hook, asks the signer to decide each call; it holds a run token, never a key. 2. The signer, out of the agent's reach, allows, denies or asks a person, and signs every call, decision and result into one hash chain per run. 3. Witnesses cosign each checkpoint. 4. Each run exports as run.tkb, which tracekit verify checks offline: VERIFIED, or FAILED at the record that changed.
  • The agent never holds a signing key and never assigns sequence numbers.
  • Each record is signed and carries the hash of the one before it, so a changed byte fails verification at that
    record.
  • Nothing the agent reports about itself is trusted: not its isolation, its fail mode, gaps, or who approved a call.
  • Who can rewrite the log decides what a run is worth, so put the signer where the agent can't reach it. The agent's
    code is the same in every mode; TRACEKIT_SIGNER points it at the signer.
Where the signer runs Who can reach the keys and log Recorded isolation
Laptop dev the agent's own user same-user
Laptop system mode (Linux; macOS experimental) root and the signer's OS user separate-user
Container or Kubernetes sidecar the signer's uid and the node's administrator separate-user
Central signer over HTTPS (or Docker Compose) the signer host's administrators remote

The operator who runs the signer could still rewrite its log with its own key; an independent witness and a monitor
make that visible. Each mode end to end: deployment.
The full model: architecture,
laptop and
server threat models.

Is it for you?

Use Tracekit when A plain tracer is enough when
Your agent acts on real systems: a shell, files, databases, email, payments, the cloud It only reads, or runs in a throwaway sandbox
Some calls must be stopped or held for a person before they run Seeing what happened afterwards is enough
Someone outside the team has to trust the record: a customer, an auditor, an incident review Only your team reads the logs, to debug

For debugging a prototype, a tracer such as OpenTelemetry, Langfuse or LangSmith is the right tool. Tracekit doesn't
replace one; it's the record you can hand to someone who doesn't trust the agent.

Commands

tracekit demo --server                      # allow, deny, approve, then a tampered copy fails verification
tracekit up                                 # start the dev signer, or find the running one
tracekit last                               # export your latest run, pin the dev key, verify it
tracekit view --dev                         # every run, verified: calls, decisions, gaps, replay, why
tracekit approvals list                     # calls held for a person; tracekit approvals approve ID
tracekit export --v2 --run ID -o run.tkb    # one run as one .tkb file
tracekit verify run.tkb --trust trust.json  # check it offline, against the keys and witnesses you pinned
tracekit policy lint policy.yaml            # check a policy before the signer loads it
tracekit doctor                             # check this setup
tracekit init --dev --v2                    # wire Claude Code's hooks; add --agent codex, cursor or gemini

The evidence format

  • Specified. Evidence format v2 aims to be
    precise enough to write an independent verifier, with normative
    test vectors.
  • Built on standards. Records are signed with Ed25519 over RFC 8785 canonical JSON. Each log is an RFC 6962
    Merkle tree, the structure Certificate Transparency uses. Checkpoints are C2SP signed notes, and witnesses cosign
    them per C2SP tlog-cosignature.
  • Self-contained. A .tkb file is a zip of records, inclusion proofs, checkpoints and the policy snapshots that
    decided the calls. It holds no verification code.
  • Old files keep verifying. Formats only grow, each format's verifier is frozen, and an older verifier reports a
    newer file UNVERIFIABLE (needs tracekit >= x), never FAILED.

Verify a v1 bundle in GitHub Actions with uses: Cygnux-Labs/Tracekit@main (bundle: and key: or witness:).
require-anchor defaults to true, so an unanchored bundle fails the step; set require-anchor: "false" to only
report it.

Contribute

Each of these is useful on its own, and none needs to know the whole codebase:

  • Write a verifier in another language. The evidence format
    is specified and has test vectors. A Go or Rust
    verifier written from the spec alone is the best test that the spec is complete.
  • Find a harmful call the packs let through. Add it to
    tests/data/policy/deny/ with a rule
    that catches it; E17 runs every case.
  • Run Tracekit on your own agent and report what broke. Doing that with two open-source agents found real bugs
    (case study).
  • Add a framework. An integration is done when it passes the
    adapter contract.
  • Try to break it. Find a tamper or a bypass that E1 and E8 miss, and report it privately as
    SECURITY.md describes.

To start: make install, then make check
(contributing).

Docs

To Start here
See every step on a clean install walkthrough · recorded demos · viewer tour
Wire up an agent v2 quickstart · coding agents · TypeScript SDK
Put the signer out of reach deployment · compose · container · Kubernetes · doctor
Decide calls policy reference · approvals · incidents · webhooks
Check evidence reading a verify report · auditor guide · witnesses · monitor
Ask why an action happened tracekit why · its architecture
Understand the design architecture · evaluation · technical report · case study
Know what's stable support · limits · FAQ · security checklist · changelog
Run the v1 laptop signer coding agents · signing · v1 integrations

License

MIT, Copyright Cygnux Labs. This is 1.2.0, and 1.x is the
supported line. Report vulnerabilities privately as
SECURITY.md describes.

Cite

@software{tracekit2026,
  author = {{Cygnux Labs}},
  title  = {Tracekit: the tamper-evident flight recorder for AI agents},
  year   = {2026},
  url    = {https://github.com/Cygnux-Labs/Tracekit}
}

Agents can edit logs. They can't hide the edit. A star costs nothing and helps other teams find Tracekit.

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