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peta-core vs semble
peta-core logo
peta-core
★ 50
vs
semble logo
semble
★ 4.5k

peta-core vs semble

peta-core: Peta Core is a control-plane runtime for MCP, providing gateway routing, credential vault, policy enforcement, and audit logging. It sits between AI agents and downstream MCP servers, enabling secure and observable tool calls.; 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

peta-core logoChoose peta-core if…

Secure tool calling for AI agents

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
peta-core logopeta-core
semble logosemble
Category
Security & Safety
RAG / Knowledge Base
Stars
★ 50
★ 4.5k
License
NOASSERTION
MIT
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
aiagent, authentication-middleware, developer-tools
agents, code-search, embeddings
03

Features

peta-core logopeta-core
01Transparent MCP proxying with OAuth 2.0 authorization
02Server-side credential injection with encrypted storage
03RBAC/ABAC policy engine with human-in-the-loop approvals
04Comprehensive audit trail and structured logging
05Managed runtime with health checks and automatic recovery
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

peta-core logopeta-core
↳Secure tool calling for AI agents
↳Centralized policy management and access control
↳Compliance and audit logging for MCP interactions
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

peta-core logopeta-core
TrendingSecurity & SafetyAPI Integration
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between peta-core and semble?
Both peta-core and semble are in the Security & Safety category. peta-core has 50 stars, while semble has 4.5k stars.
Which is better, peta-core or semble?
The best choice depends on your use case. Choose peta-core if Secure tool calling for AI agents, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is peta-core free or open source?
Yes, peta-core is open source on GitHub (NOASSERTION).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to peta-core →Alternatives to semble →peta-core details →semble details →
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