By labsai
EDDI
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
Filed under Workflow & Agent Orchestration. Status: Published
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On the maker
Use cases
Data Pipelines, Multi-Agent, Production-Grade, RAG, Tool Use / Function Calling.
- Data PipelinesTools for building, scheduling, and monitoring batch or streaming data workflows.
- Multi-AgentTools that coordinate two or more agents, support delegation, or implement agent-as-tool patterns.
- Production-GradeTools proven in production at scale — not prototypes or research previews.
- RAGTools purpose-built for retrieval-augmented generation patterns.
- Tool Use / Function CallingTools that support OpenAI-style function calling, MCP tool use, or structured tool dispatch.
Pricing
Not yet curated
Field notes
No field notes yet.
Field notes for EDDI will land here when sources support a confident take ; synthesized from postmortems, vendor retros, dev-team blogs, deeply-engaged GitHub issues, and our own builds.
Coverage isn’t promised on every tool ; empty sections are honest. Field notes are curated, not generated from vendor copy.
Benchmarks
Scores aren’t in yet.
We’re wiring up SWE-bench, Aider Polyglot, and a custom dev-task suite next. Methodology will be public; vendor pre-notification is 48 hours.
View benchmarksHow we make money
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