AgentIndex icon
AgentIndex
ar logo
ar
★ 20
vs
hypotree logo
hypotree
★ 12

ar vs hypotree

ar: Agent Receipts is an open protocol for generating cryptographically signed audit trails for AI agent actions. It provides SDKs in Go, TypeScript, and Python, plus an MCP proxy that intercepts and signs agent tool calls using Ed25519 signatures. The receipts can be verified independently, enabling accountability and traceability in agentic systems.; hypotree: Hypotree structures an agent's working knowledge as a persistent, self-revising hypothesis DAG, exposed as an MCP server and a Python API. It revises beliefs, prunes dead branches and deduces survivors by elimination, instead of just accumulating facts like a vector store.

01

TL;DR

ar logo
arMCP Servers · ★ 20

Audit AI agent actions in production for compliance and accountability

Read ar full review →
hypotree logo
hypotreeMCP Servers · ★ 12

Track hypotheses in agentic research and development without wasting tokens on dead ends

Read hypotree full review →
02

Side-by-Side Comparison

Field
ar logoar
hypotree logohypotree
Category
MCP Servers
MCP Servers
Stars
★ 20
★ 12
License
Apache-2.0
MIT
Install Command
go install github.com/agent-receipts/ar/cmd/ar-proxy@latest
pip install hypotree
Updated
2d ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-receipts, ai, ai-agents
agentic-memory, agentic-memory-architecture, ai-agents
03

Features

ar logoar
01Cryptographically signed receipts for every agent tool call using Ed25519
02MCP proxy that transparently intercepts and signs all tool invocations
03SDKs in Go, TypeScript, and Python for direct integration
04Tamper-evident audit trail with verifiable signatures
05Protocol spec for cross-platform interoperability
hypotree logohypotree
01Write-back belief revision that propagates evidence failures upstream
02Cascading prune of a refuted hypothesis and its subtree
03Exclusion-group inference and deduction by elimination
04Thompson Sampling navigation of the open frontier
04

Use Cases

ar logoar
↳Audit AI agent actions in production for compliance and accountability
↳Verify that agent tool calls were not tampered with after the fact
↳Build trust layers into multi-agent pipelines with signed receipts
hypotree logohypotree
↳Track hypotheses in agentic research and development without wasting tokens on dead ends
↳Maintain a belief state that revises itself as evidence changes
FAQ

FAQ

What is the difference between ar and hypotree?
Both ar and hypotree are in the MCP Servers category. ar has 20 stars, while hypotree has 12 stars.
Which is better, ar or hypotree?
The best choice depends on your use case. Choose ar if Audit AI agent actions in production for compliance and accountability, and hypotree if Track hypotheses in agentic research and development without wasting tokens on dead ends.
Is ar free or open source?
Yes, ar is open source on GitHub (Apache-2.0).
Is hypotree free or open source?
Yes, hypotree is open source on GitHub (MIT).
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