semble
★ 4.5k
vs
qveris-agent-toolkit
★ 229
semble vs qveris-agent-toolkit
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.; qveris-agent-toolkit: QVeris Agent Toolkit is the open-source client layer for the QVeris capability routing network, giving agents access to 10,000+ real-world capabilities across 15+ categories. It ships a CLI, MCP server, Python SDK, and REST API docs so agents can discover, inspect, invoke, and audit tools through a single protocol. Available for Cursor, Claude Code, OpenCode, and OpenClaw-style skill agents.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose qveris-agent-toolkit if…Agents discovering and invoking real-world APIs without per-integration setup
02
Side-by-Side Comparison
03
Features
semble01Fast 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
qveris-agent-toolkit01Access 10,000+ capabilities across 15+ categories via a single protocol
02CLI, MCP server, Python SDK, and REST API in one toolkit
03Discover is free; Call returns structured pre-settlement billing
04Works with Cursor, Claude Code, and OpenClaw skill agents
05Usage audit and credits ledger for tracking tool invocations
04
Use Cases
semble↳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
qveris-agent-toolkit↳Agents discovering and invoking real-world APIs without per-integration setup
↳Building MCP-based agent pipelines with pre-built capability connectors
↳Auditing and billing for tool usage in multi-agent workflows
05
Best For
sembleCode AssistantRAG / Knowledge Base
qveris-agent-toolkit—
FAQ
FAQ
What is the difference between semble and qveris-agent-toolkit?
Both semble and qveris-agent-toolkit are in the RAG / Knowledge Base category. semble has 4.5k stars, while qveris-agent-toolkit has 229 stars.
Which is better, semble or qveris-agent-toolkit?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and qveris-agent-toolkit if Agents discovering and invoking real-world APIs without per-integration setup.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is qveris-agent-toolkit free or open source?
Yes, qveris-agent-toolkit is open source on GitHub.
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