ElephantBroker offers an on‑premise runtime that gives AI agents persistent, organized memory across sessions, automatically capturing facts, decisions, procedures, and files. Its sliding context window surfaces the most relevant information for current goals while a policy engine enforces compliance guards, and the platform provides shared or isolated memory for multi‑agent teams with built‑in Prometheus metrics for enterprise observability.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents lose continuity because each session starts with a blank slate, causing them to forget prior facts, procedures, decisions, and collaborative knowledge. This leads to repeated mistakes, policy violations, and inefficient multi‑step workflows.
Solution
ElephantBroker provides a persistent memory and context runtime that automatically captures and organizes all interactions, decisions, evidence, and procedural knowledge for AI agents. A living, sliding context window continuously surfaces the most relevant information for the current goal, while a policy engine enforces red‑line guards to prevent unsafe actions. The platform supports shared or isolated memory across multiple agents, enabling knowledge transfer within teams. All components run on the user’s own infrastructure with Prometheus‑compatible metrics for enterprise observability, ensuring data never leaves the organization.
Target Audience
Primary customers are enterprises and development teams that deploy AI agents for software engineering, research, project management, or personal assistance, especially those requiring strict compliance, data residency, and observability.
Features
- Automatic capture and categorization of facts, decisions, procedures, evidence, and files into layered memory stores
- Living context window that adapts as a sliding window, prioritizing relevance, recency, and goal alignment
- Policy engine with red‑line guards that block actions violating defined rules and require approvals
- Multi‑agent shared memory with configurable isolation policies for sessions, actors, or teams
- Decoupled runtime that can be integrated with OpenClaw or any other agent framework
- On‑premise deployment with pluggable storage backends and Docker/Kubernetes support
- Built‑in Prometheus metrics endpoint for monitoring memory health, context utilization, and guard activations