AgentRewind
Trace forensics build: zero-trust import parser and a diff engine for replaying agent runs. Private build with no public artifacts.
Proof ledger
- Classification
- Private build
- Repository
- Not public
- Language
- TypeScript
- Licence
- Private
- Status
- Paused
- Tests
- 1 recorded gates
- Last verified
- 2026-08-06
This is a private build. No source artifacts are published, so the claims below are architectural descriptions rather than externally verifiable evidence.
What it is
AgentRewind replays agent traces frame by frame with redaction applied at import. It is a private build. There is no public repository, no published package, and no third-party verification available for it, so nothing on this page should be treated as independently checkable.
Architecture
- Zero-trust import parser: a trace is untrusted input and is validated before it is stored.
- Diff engine compares two runs of the same task and surfaces the first divergence.
- Redaction is applied at import time rather than at render time.
Tests and gates
- No public test artifacts. Test claims for this build are not independently verifiable.
Limits
- Private build. No repository URL, no package, no public CI.
- Described here for architecture context only.
Patterns applied
Acceptance tests for agent work →
Define done before the agent starts.
Evals that gate releases →
A golden suite in CI, not a spreadsheet.
MCP permission scoping →
Deny by default, declare every tool.
Observability for agent runs →
One trace ID from request to receipt.
Cost controls that actually stop spend →
Ceilings enforced before the call, not after the invoice.
Approval gates that suspend the run →
Nothing downstream executes before a human approves.
Related proof
ClawKeeper →
Governed Claude agent control plane. A deterministic policy engine runs before every LLM call, autonomous spend defaults to zero, and the audit log is enforced by the database.
TechTide Harness Kit →
Trust contracts for agent skills expressed as JSON Schema: risk tiers, tool permissions, deny-by-default egress, approval gates, and prompt-injection fixtures behind a wall of CI validation gates.
CipherClaw →
Deterministic multi-agent debugger with zero LLM calls in the analysis path: causal graphs, weighted root-cause scoring, and failure prediction.
Swarm 357 →
357 Claude agent roles across six business layers, with portable memory, enforced cost caps, a bash policy gate, and durable checkpoints.
This page is implementation proof only. Engagement scope and pricing live on TechTide AI.
Production Block Call at TechTide AI→© 2026 Alex Cinovoj · TechTide AI · Columbus, OH