Tombstone

July 12, 2026 ยท View on GitHub

Stop your AI agents from looping, running away, or wiping your data. In two lines. With a receipt.

Tombstone blocks an agent from deleting real files, then proves it

Tombstone is an open-source control plane for AI agents. It wraps the tools you hand an agent and intercepts the dangerous calls before they run: a runaway loop that burns your token budget, the same call repeated forever, a delete or drop or overwrite on data you marked protected. Every decision, allowed or blocked, is sealed into a tamper-evident ledger, so you always have proof of exactly what your agent tried to do.

Observability tools chart the disaster in a dashboard after it happens. Tombstone stops it first, then proves it.

Runs locally. Framework-agnostic. Your data and your agents never leave your environment.

Guard any agent in two lines

from tombstone.easy import Tombstone

tb = Tombstone(protect=["./data"], budget=50)   # a ledger + guard, ready
tools = tb.guard_all(tools)                       # wrap your tools

Hand tools to your agent the way you already do. That is the whole integration. It works with plain Python tool functions (CrewAI, AutoGen, a raw OpenAI or Anthropic tool loop) and with LangChain tools.

Three independent stops from one wrapper:

  • Runaway budget. After budget tool calls, the next one is blocked. A cost ceiling for an agent that keeps going forever.
  • Loop detector. The same call repeated in a row is blocked. Catches an agent stuck repeating itself.
  • Protected paths. A delete, drop, or overwrite on anything under a protected path is blocked before it runs.

Check the ledger any time:

ok, msg = tb.verify()   # (True, 'chain intact (N entries verified)')

Proof: two runaways, one wrapper

The loop detector catches an agent repeating itself: round 1: calling the tool round 2: calling the tool round 3: calling the tool round 4: calling the tool round 5: calling the tool STOPPED at round 5: loop detected: 'call:keep going' repeated 5x in a row verify: (True, 'chain intact (5 entries verified)')

The budget catches an agent that keeps doing new things forever: round 1: calling the tool round 2: calling the tool round 3: calling the tool round 4: calling the tool round 5: calling the tool round 6: calling the tool STOPPED at round 6: step budget exceeded (6 > 5): possible runaway verify: (True, 'chain intact (6 entries verified)')

Same two lines of setup. One catches repetition, the other catches endless novelty. Most agent guardrail tools give you one, not both.

Try it in 30 seconds

git clone https://github.com/airblackbox/tombstone cd tombstone pip install cryptography PYTHONPATH=. python3 demo/demo_agent_guardrail.py

You will watch an agent get blocked from deleting real files, a runaway loop get killed at step 5, and the signed receipt on a ledger that verifies.

Watch two real agents spiral until the run is killed: PYTHONPATH=. python3 demo/runaway_agents.py

Or watch the whole thing in the browser, a destructive block plus a runaway plus a live tamper test: pip install flask python3 cockpit.py # then open http://127.0.0.1:5001

How the proof works

Every decision is one entry in an append-only, hash-chained ledger. Each entry commits to the previous one, so altering any past entry breaks verification, and an HMAC-authenticated head makes truncation detectable too. You do not have to trust Tombstone: run ledger.verify() yourself, or re-run any demo and check the ledger it wrote.

Honest scope

Enforcement covers actions taken through guarded tools. If you also hand the agent a raw, unguarded capability (a bare os.remove), it can bypass the guard. The rule is simple: give agents only guarded tools for anything risky. Tombstone is the wrapper you put around every dangerous tool, not a kernel hook.

Install

pip install cryptography # core pip install flask # optional, for the browser cockpit

Apache 2.0. 13 security tests pass (pytest tests/).


Beyond the agent guard: provable data erasure

The same tamper-evident spine powers Tombstone's second capability: erasing a person's data so it is unrecoverable everywhere, even in copies, while the audit log proving it existed and was deleted stays intact. That is what a tombstone is.

How it works

  • Personal data is encrypted with a per-subject key (AES-256-GCM) before it touches disk.
  • The ledger stores only a SHA-256 commitment to the ciphertext, never the data. Each entry is hash-chained to the previous one, so altering any past entry breaks verification.
  • Erasure = destroying the subject's key (crypto-shredding). The ciphertext becomes permanent noise. The ledger stays intact.

The five-step proof

python demo/demo.py

  1. Store a subject's data (encrypted; ledger holds only a hash).
  2. Verify the ledger is tamper-evident.
  3. Read the data back (proves it was really stored).
  4. Erase the subject (destroy the key).
  5. Prove erasure: data is unrecoverable AND the ledger still verifies.

Lineage and containment (v0.2)

Erasing data in one place is the easy case. The real problem is that data gets copied and derived across systems, and you have to cover all of it.

  • Lineage: every copy or derivation is recorded as a flow on the ledger. vault.lineage.graph(subject) shows where data went; locations(subject) lists the full footprint; trace(subject, start) follows it downstream.
  • Containment: copies stored via vault.store_at(...) inherit the subject's one key, so destroying that key crypto-shreds every copy at once. vault.verify_erasure_coverage(subject) walks every location and proves each copy is unreadable after erasure. python demo/demo_lineage.py # trace the sprawl, erase across all of it python demo/demo_containment.py # one key-shred kills every real copy

Honest scope: containment is guaranteed for data that went through Tombstone (it inherits the key). A plaintext copy made by bypassing Tombstone entirely cannot be crypto-shredded by anyone; lineage tracking is how you catch those flows and route them through the system in the first place.

Flow-control proxy (v0.3)

A real HTTP forward proxy that inspects request bodies and blocks personal-data leaks before they leave, recording every decision on the tamper-evident ledger. python demo/demo_proxy.py

The demo starts a real destination server and a real proxy, then sends two live HTTP requests: a clean one (forwarded) and one carrying a subject's email (blocked with HTTP 451, never reaches the destination). The ledger records both decisions, with personal data masked so the audit log itself never leaks.

Honest scope: this is a laptop-scale reference implementation of the egress-control pattern. It inspects plain HTTP bodies. It does NOT do TLS interception or production-grade throughput. The value is the working pattern: real payload inspection plus policy plus a tamper-evident decision log.

Hardening: attack yourself (v0.4)

A security tool is only as good as the attacks it survives. Tombstone ships an adversarial test suite that tries to defeat its own guarantees: python attack.py # readable attack report pytest tests/ # the same attacks as assertions

Attacks and current status:

  • Forge a past entry (alter contents, keep hash): DEFENDED (hash mismatch).
  • Reorder entries: DEFENDED (broken prev_hash link).
  • Truncate the log (delete recent entries to hide them): DEFENDED. The ledger keeps an HMAC-authenticated head recording chain length and tip; truncation makes the log disagree with the head, and the head cannot be forged without the secret key.
  • Recover data after crypto-shred: DEFENDED (vault read fails; no plaintext on disk, only ciphertext for a destroyed key).
  • Sneak obfuscated PII past the proxy (spacing, [at]/[dot] tricks): DEFENDED via payload normalization.

Honest limits (the next hardening targets, not yet done):

  • The head-signing secret currently lives next to the ledger. Truly hardened, it belongs in a separate KMS/HSM so an attacker with full disk access still cannot forge the head.
  • Secure key deletion on SSDs is hard (wear-leveling). The robust answer is envelope encryption: wrap subject keys under a KMS master key whose destruction is attestable, so erasure never depends on physically scrubbing bytes.
  • Content inspection is an arms race. Normalization defeats trivial evasion; encoding, encryption, or splitting across requests still requires deeper inspection.

Envelope encryption (v0.5)

Erasure no longer trusts the disk. Every subject key is wrapped (encrypted) under a master key; only the wrapped form is ever written. Two erasure paths, neither depending on physically scrubbing bytes:

  • Erase one subject: destroy their wrapped key.
  • Crypto-erase everyone at once: destroy the master key. Every wrapped subject key becomes permanently un-unwrappable, even copies an attacker hoarded. python demo/demo_envelope.py # destroy the master, watch everyone die at once

Honest limit: the master key still lives in a local file. Truly hardened, it belongs in a KMS/HSM that performs and attests its own destruction. The wrap/unwrap interface is exactly what a KMS slots into; that integration is the next deployment-hardening step.

Merkle-tree proofs (v0.6)

The hash chain proves the whole log is intact; a Merkle tree (RFC 6962 hashing, the Certificate Transparency scheme) adds efficient single-entry proofs:

  • Inclusion proof: prove "entry X is in the log" with about log2(n) hashes, without revealing other entries. Prove an erasure is recorded without dumping everyone else's events.
  • Consistency proof: prove the log only ever grew, never rewrote history. python demo/demo_merkle.py # prove one erasure privately; reject a forgery

Layered integrity: the hash chain catches content tampering, the authenticated head catches truncation, and the Merkle tree gives efficient inclusion and consistency proofs.