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AegisTrace MCP Server

ssintaramadaglri/AegisTrace

Score: 74.1 Rank #3283 Agent Framework
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Verifiable execution for durable AI agents: policy-bound workflow compiler, hash-chained journal, offline replay, and Merkle + Ed25519 proofs. Go.

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Overview

ssintaramadaglri/AegisTrace is a Go tool licensed under MIT. Verifiable execution for durable AI agents: policy-bound workflow compiler, hash-chained journal, offline replay, and Merkle + Ed25519 proofs. Go. Topics: agent-execution, attestation, audit, checkpointing, cli, durable-execution, ed25519, go, journal, mcp, merkle, policy, proofs, replay, runtime, security, verification, workflow.

Ranked #3283 out of 24846 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Go MIT
agent-executionattestationauditcheckpointingclidurable-executioned25519gojournalmcpmerklepolicyproofsreplayruntimesecurityverificationworkflow

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 119

119 stars → growing community

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 50%

3/6 issues closed → decent issue management

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 26
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for ssintaramadaglri/AegisTrace
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Matched Queries

topic:mcp

From the README

<div align="center">

# AegisTrace

**Verifiable execution for durable AI agents.**  
Compile policy-bound workflows, record every effect, replay without the network, and prove individual events.

</div>

---

AegisTrace is a verifiable runtime for durable AI workflows. It compiles readable YAML into digest-sealed artifacts, rejects unsafe workflow graphs before execution, records every state transition in a hash-chained journal, and produces independently verifiable Merkle and Ed25519 proofs.

The runtime treats model and tool calls as effects. Live runs invoke configured providers; replay reads recorded results and never contacts a provider. This gives operators a stable audit record and developers a reproducible debugging path without pretending that external models are deterministic.

## Status

AegisTrace is an early, working release. The local runtime, compiler, verifier, journal, replay, checkpoints, proof system, capability tokens, HTTP model adapters, MCP adapter, and CLI are 
Read full README on GitHub →

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