AgentIndex icon
AgentIndex
EDDI logo
EDDI
★ 387
vs
bernstein logo
bernstein
★ 1.4k

EDDI vs bernstein

EDDI: EDDI is a production-grade, config-driven multi-agent orchestration middleware built with Java 25 and Quarkus. It coordinates users, AI agents, and business systems through intelligent routing, persistent memory, and API orchestration without writing code. It offers enterprise security, compliance, and observability, supporting multiple LLM providers and standard protocols with one-command Docker deployment.; bernstein: Bernstein is a deterministic orchestrator for AI coding agents. It decomposes a goal into tasks, spawns agents in parallel on isolated branches, verifies results with quality gates, and merges only passing code. It supports 31+ agent adapters and can run on any model or provider.

01

TL;DR

EDDI logo
EDDIRAG / Knowledge Base · ★ 387

Building enterprise-grade conversational AI assistants with multi-agent collaboration

Read EDDI full review →
bernstein logo
bernsteinCode Assistant · ★ 1.4k

Speed up feature development by dividing complex tasks among multiple AI agents

Read bernstein full review →
02

Side-by-Side Comparison

Field
EDDI logoEDDI
bernstein logobernstein
Category
RAG / Knowledge Base
Code Assistant
Stars
★ 387
★ 1.4k
License
Apache-2.0
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash
curl -fsSL https://bernstein.run/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
a2a, ai-agents, ai-orchestration
a2a, agent-orchestration, agentic-ai
03

Features

EDDI logoEDDI
01Multi-Agent Orchestration with intelligent routing and group conversations
02Support for 12 LLM providers including cloud, enterprise, and self-hosted options
03Standards & Interoperability via MCP, A2A, OpenAPI, and OAuth 2.0
04Persistent memory, token-aware context management, and RAG capabilities
05Enterprise-grade security, compliance (GDPR, HIPAA, EU AI Act), and audit ledger
bernstein logobernstein
01Parallel multi-agent execution with deterministic scheduling
02Over 30 agent adapters and pluggable sandboxes (local, Docker, E2B, Modal)
03Quality gates and janitor verification (tests, lint, type checks, PII scan)
04Built-in cost tracking, observability, and replayable audit logs
05MCP server mode, skill packs, and declarative YAML plans
04

Use Cases

EDDI logoEDDI
↳Building enterprise-grade conversational AI assistants with multi-agent collaboration
↳Orchestrating multi-agent debates and group discussions for decision-making
↳Implementing compliance-ready AI systems with audit trails and data governance
bernstein logobernstein
↳Speed up feature development by dividing complex tasks among multiple AI agents
↳Automate CI/CD pipelines with headless mode and structured output
↳Combine different models for code generation and review in one session
FAQ

FAQ

What is the difference between EDDI and bernstein?
Both EDDI and bernstein are in the RAG / Knowledge Base category. EDDI has 387 stars, while bernstein has 1.4k stars.
Which is better, EDDI or bernstein?
The best choice depends on your use case. Choose EDDI if Building enterprise-grade conversational AI assistants with multi-agent collaboration, and bernstein if Speed up feature development by dividing complex tasks among multiple AI agents.
Is EDDI free or open source?
Yes, EDDI is open source on GitHub (Apache-2.0).
Is bernstein free or open source?
Yes, bernstein is open source on GitHub (Apache-2.0).
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Related

Alternatives to EDDI →Alternatives to bernstein →EDDI details →bernstein details →