Engram: Advanced AI Agent Memory System
Budget: $50 – $0 USD
Your brain never turns off — it continuously consolidates memory and surfaces patterns. AI agents don’t. They lose context the moment a session ends.
Engram fixes this.
Every agent message is committed to persistent memory as verified facts. It runs continuously — analyzing your codebase, tracking changes, and surfacing contradictions before agents act on stale or conflicting information. The longer it runs, the more accurate and valuable it becomes.
All agents and team members share a unified memory layer, enabling consistent, aligned decision-making across your workspace.
Why it matters
At scale, multi-agent systems need accountability. Just as accounting enabled modern finance, Engram introduces a verifiable memory and audit layer for AI systems — tracking every instruction, fact, and inconsistency so responsibility is clear when decisions matter.
Resources
GitHub: https://github.com/Agentscreator/engram-memory
Please review the hiring documents in the repository before applying.
Engram fixes this.
Every agent message is committed to persistent memory as verified facts. It runs continuously — analyzing your codebase, tracking changes, and surfacing contradictions before agents act on stale or conflicting information. The longer it runs, the more accurate and valuable it becomes.
All agents and team members share a unified memory layer, enabling consistent, aligned decision-making across your workspace.
Why it matters
At scale, multi-agent systems need accountability. Just as accounting enabled modern finance, Engram introduces a verifiable memory and audit layer for AI systems — tracking every instruction, fact, and inconsistency so responsibility is clear when decisions matter.
Resources
GitHub: https://github.com/Agentscreator/engram-memory
Please review the hiring documents in the repository before applying.