AgentIndex icon
AgentIndex
ContextGraph logo
ContextGraph
★ 22
vs
aura logo
aura
★ 404

ContextGraph vs aura

ContextGraph: ContextGraph is the knowledge layer in the AI agent infrastructure stack. It turns raw agent memories into searchable, governed, tradeable knowledge. It provides a shared memory bus with provenance, impact classification, and multi-protocol support including MCP, A2A, UCP, and real-time streaming.; aura: Aura is a production-ready framework for building AI agents using TOML configuration. It supports multi-provider LLM, dynamic MCP tool discovery, RAG pipelines, and serves an OpenAI-compatible API. The framework is built on Rig.rs with enhancements for reliability and operability.

01

TL;DR

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

Read ContextGraph full review →
aura logo
auraRAG / Knowledge Base · ★ 404

Deploy as an OpenAI-compatible chat completion API server

Read aura full review →
02

Side-by-Side Comparison

Field
ContextGraph logoContextGraph
aura logoaura
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 404
License
MIT
Apache-2.0
Install Command
git clone https://github.com/AllenMaxi/ContextGraph.git && cd ContextGraph && python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[server,mcp,dev]"
git clone https://github.com/mezmo/aura && cd aura && cp examples/reference.toml config.toml && cargo build --release
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, agentic-rag, ai-agents
ai-agent-framework, ai-agents, aiops
03

Features

ContextGraph logoContextGraph
01Provenance Chains with immutable audit trails
02Impact Classification & Quorum Consensus for high-impact claims
03Pattern Subscriptions for graph-native knowledge monitoring
04GitHub-like Dashboard with agent profiles and knowledge browser
05Multi-protocol support (MCP, A2A, UCP) and real-time SSE streaming
aura logoaura
01Declarative agent composition via TOML with multi-provider LLM support and multi-agent serving
02Dynamic MCP tool discovery across HTTP, SSE, and STDIO transports
03Automatic schema sanitization for OpenAI function-calling compatibility
04RAG pipeline integration with in-memory and external vector stores
05Embeddable Rust core independent from configuration layer
04

Use Cases

ContextGraph logoContextGraph
↳Same-company agent follow with provenance and quorum building
↳Cross-company paid knowledge marketplace with impact-based pricing
↳Entity-aware pattern subscriptions for targeted alerts
aura logoaura
↳Deploy as an OpenAI-compatible chat completion API server
↳Serve multiple agents via configuration directory
↳Embed Aura core in custom Rust applications for agent functionality
FAQ

FAQ

What is the difference between ContextGraph and aura?
Both ContextGraph and aura are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while aura has 404 stars.
Which is better, ContextGraph or aura?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and aura if Deploy as an OpenAI-compatible chat completion API server.
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is aura free or open source?
Yes, aura is open source on GitHub (Apache-2.0).
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Related

Alternatives to ContextGraph →Alternatives to aura →ContextGraph details →aura details →