AgentRewind
Trace forensics build: zero-trust import parser and a diff engine for replaying agent runs. Private build with no public artifacts.
Project details
- Classification
- Private build
- Repository
- Not public
- Language
- TypeScript
- License
- Private
- Status
- Paused
- Tests
- 1 test notes
- Last verified
- 2026-08-06
This is my private build. I describe its design below, but there are no public source files or test results you can use to verify the implementation.
What it is
AgentRewind is my private build for replaying and comparing agent traces, with redaction at import. I describe its design here, but there is no public repository, package, or test output you can use to verify the implementation.
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.
Related methods
Acceptance tests for agent work →
Executable checks test the task and detect regressions.
Evaluation tests for releases →
A fixed evaluation suite checks release requirements.
MCP tool permissions →
The server checks which tools a caller may use.
Recording agent runs →
A shared trace ID connects the records of a run.
Spending limits for agent runs →
Budget checks run before provider requests.
Pausing for human approval →
The run waits for approval before the action executes.
Related projects
ClawKeeper →
ClawKeeper checks proposed Claude agent actions against explicit rules before a model call. Autonomous spend defaults to zero, and the database enforces an append-only audit log.
TechTide Harness Kit →
TechTide Harness Kit uses JSON Schema to declare skill permissions, risk tiers, network access, and approval requirements. Automated checks validate declarations and run prompt-injection fixtures.
CipherClaw →
CipherClaw analyzes recorded agent activity without model calls. It builds causal graphs, scores possible causes, and flags failure patterns.
Swarm 357 →
357 Claude agent roles across six business layers, with portable memory, enforced cost caps, a bash policy gate, and durable checkpoints.
I document the project here. TechTide AI publishes current service scope, prices, and terms.
Production Block Call at TechTide AI→© 2026 Alex Cinovoj · TechTide AI · Columbus, OH