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ar vs semble
ar logo
ar
★ 16
vs
semble logo
semble
★ 4.5k

ar vs semble

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.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

ar logoChoose ar if…

Audit AI agent actions in production for compliance and accountability

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
ar logoar
semble logosemble
Category
MCP Servers
RAG / Knowledge Base
Stars
★ 16
★ 4.5k
License
Apache-2.0
MIT
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-receipts, ai, ai-agents
agents, code-search, embeddings
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
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
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
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

ar logoar
Hidden GemSecurity & Safety
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between ar and semble?
Both ar and semble are in the MCP Servers category. ar has 16 stars, while semble has 4.5k stars.
Which is better, ar or semble?
The best choice depends on your use case. Choose ar if Audit AI agent actions in production for compliance and accountability, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is ar free or open source?
Yes, ar is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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