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pic-standard vs semble
pic-standard logo
pic-standard
★ 25
vs
semble logo
semble
★ 4.5k

pic-standard vs semble

pic-standard: PIC Standard is a local-first action gating protocol for AI agents. It forces agents to prove intent, provenance, and evidence before executing high-impact tool calls, and blocks the action if anything is invalid. It works 100% locally, integrates with LangGraph, MCP, OpenClaw, and Cordum, and provides evidence verification via hash and Ed25519 signatures.; 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

pic-standard logoChoose pic-standard if…

Preventing prompt injections and unauthorized tool calls in 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
pic-standard logopic-standard
semble logosemble
Category
Multi-Agent
RAG / Knowledge Base
Stars
★ 25
★ 4.5k
License
Apache-2.0
MIT
Updated
5d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
action-proposals, agentic-ai, agents
agents, code-search, embeddings
03

Features

pic-standard logopic-standard
01Local-first action gating with zero cloud dependency
02Intent, provenance, and evidence verification before tool execution
03Evidence verification (SHA-256 hash and Ed25519 signatures)
04Extensible keyring with trust controls and strict trust mode
05Integrations with LangGraph, MCP, OpenClaw, Cordum, and HTTP bridge
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

pic-standard logopic-standard
↳Preventing prompt injections and unauthorized tool calls in AI agents
↳Enforcing provenance and evidence for high-impact actions like payments or data exports
↳Local-first action safety for production AI systems without external dependencies
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

pic-standard logopic-standard
TrendingMulti-AgentDev Tooling
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between pic-standard and semble?
Both pic-standard and semble are in the Multi-Agent category. pic-standard has 25 stars, while semble has 4.5k stars.
Which is better, pic-standard or semble?
The best choice depends on your use case. Choose pic-standard if Preventing prompt injections and unauthorized tool calls in AI agents, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is pic-standard free or open source?
Yes, pic-standard is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to pic-standard →Alternatives to semble →pic-standard details →semble details →
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