MemoryLake for Hermes Agent
Persistent, shared memory for multi-agent workflows — every Hermes agent in your team draws from one brain.
Why Hermes Agent needs MemoryLake
Hermes is built for multi-agent workflows — research agent, writing agent, customer-support agent, all working in coordination.
But out of the box, each agent is its own island. The research agent finds something. The writing agent does not know. You hand-paste between them.
Real teamwork requires a shared brain. That is what MemoryLake gives Hermes Agent.
What you get
One memory, every agent
Whatever any Hermes agent learns is available to every other Hermes agent — and to any non-Hermes tool sharing the project.
Auto-capture, auto-recall
Each agent automatically saves important context and pulls relevant memory when it needs it. No manual handoff.
Conflict detection across agents
When two agents return contradictory information, MemoryLake flags it instead of silently using the latest one.
Persistent across sessions and devices
Restart, switch laptops, hand off to a teammate — memory stays.
Cross-product portability
The same memory works in Claude, ChatGPT, OpenClaw, and any MCP client. Hermes is one of many — not a silo.
Triple-party encryption
Architectural privacy. No single party (including us) holds all the keys.
Install in 60 seconds
- 1
Sign up at MemoryLake (free for personal use)
Create a free account at app.memorylake.ai.
- 2
Connect Hermes Agent
In your Hermes Agent dashboard, add the MemoryLake connection. Paste your MemoryLake project token.
- 3
Done
All Hermes agents in the project now share one memory store.
What people use it for
"Research agent gathers data in the morning; writing agent uses it in the afternoon. No copy-paste, no re-explaining."
"One agent ran into a conflicting fact across two sources. MemoryLake flagged the conflict; the team triaged it before the report went out."
"Brought a new agent into a long-running project. It immediately had the team's accumulated context — onboarding was instant."
How shared memory works in Hermes
| Without MemoryLake | + MemoryLake | |
|---|---|---|
| Research → writing handoff | Manual copy-paste | Automatic |
| Multiple agents on same task | Independent context | Shared, deconflicted |
| Resuming a task next day | Re-explain everything | Picks up where it left off |
| Agent disagreement | Silent contradiction | Flagged for review |
| New agent joining team | Cold start | Inherits team memory |
FAQ
Why is your product called Hermes?
The name reflects the messenger / coordinator role agents play in multi-agent systems. We are aware of overlap with NousResearch's Hermes LLM series — they are a different product (open-source language model weights, not an agent framework). When in doubt, search "Hermes Agent" or look for the MemoryLake-connected version.
Does Hermes Agent require MemoryLake?
No — Hermes runs without MemoryLake too. But for any workflow with more than one agent, MemoryLake is what makes them feel like a team rather than coworkers who never speak.
Can I share memory between Hermes and non-Hermes tools?
Yes — MemoryLake projects are tool-agnostic. The same memory is accessible from Claude, ChatGPT, OpenClaw, and any MCP client.
Does MemoryLake handle conflicts between agents?
Yes. When two agents store conflicting facts, MemoryLake's conflict detection surfaces both with timestamps and sources. You decide which is right; the resolution is versioned.
Is data shared with other MemoryLake users?
No. Project memory is private to your account/team unless you explicitly share it.
Is it really free?
Free for personal use. Team and enterprise tiers price based on number of agents and memory volume.