01
Model Orchestration
Clara coordinates local models and cloud models as a unified execution layer for practical agent workflows.
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Clara
Memory-aware agent framework for practical automation.
Clara is a persistent AI agent architecture that combines model orchestration, memory continuity, and tool-connected execution for real operating workflows.
System Overview.
Clara connects memory, multi-model routing, and tool execution into one controlled architecture.
02
Memory Continuity
A persistent memory service is designed to preserve tasks, goals, relationships, and operating context across sessions.
03
Agent + Tool Routing
Specialized agents and tool adapters are structured through an explicit registry so behavior can be audited and improved.
What It Enables.
Four active capability tracks shaping the framework build.
01
Specialized agent suite
Role-specific agents can be configured for operations, planning, chronicling, and domain workflows with explicit guardrails.
02
Persistent narrative memory
Memory graph continuity supports long-running collaboration instead of stateless, one-session interactions.
03
Connector-first automation
Integrations with software tools and operational surfaces are built for real-world automation under human oversight.
04
Daily brief and execution loops
Collector, summarizer, and delivery pipelines are being formalized as reusable system modules.
Current Status.
Active framework build, evolving architecture.
State
Clara is in active development with system design and scaffold work focused on memory service, agent manifests, and execution routing foundations.
Current Focus
Formalizing the daily-brief pipeline, standing up the memory layer, and hardening integration boundaries for safe autonomy.