---
title: "OpenClaw Memory Bank Strategy for Teams"
authors: [benfrank241]
date: 2026-04-20
tags: [how-to, openclaw, memory, teams, configuration]
description: "Choose the right OpenClaw memory bank strategy for teams with Hindsight, compare per-user and shared patterns, and avoid the most common isolation mistakes."
image: /img/blog/guide-openclaw-memory-bank-strategy-for-teams.png
hide_table_of_contents: true
---

If you are choosing an **OpenClaw memory bank strategy for teams**, the important question is not “should we use memory?” It is “what should count as one memory space?” That answer determines whether recall feels focused, whether team context compounds usefully, and whether one user's chat history stays out of another user's answers.

OpenClaw gives you several viable patterns through Hindsight bank configuration. You can isolate per user, per provider, per channel, or collapse down to one intentionally shared bank for a team workflow. None of those options is universally right. The best choice depends on whether your agents serve individuals, shared queues, or a small team working on one project together.

This guide explains the three patterns that matter most, how to pick one without overcomplicating the setup, and how to migrate later if your needs change. Keep the [OpenClaw integration docs](https://hindsight.vectorize.io/docs/integrations/openclaw), the [docs home](https://hindsight.vectorize.io/docs), the [Recall API reference](https://hindsight.vectorize.io/docs/api/recall), and the [team shared memory post](https://hindsight.vectorize.io/blog/team-shared-memory-ai-coding-agents) open while you compare.

<!-- truncate -->

> **Quick answer**
>
> 1. Use `["provider", "user"]` for most team assistants that serve individuals.
> 2. Use one fixed shared `bankId` only for tightly shared workflows.
> 3. Avoid one bank for every user unless the agent is explicitly collaborative.
> 4. Tighten `retainMission` before you widen sharing.
> 5. Reevaluate the layout when recall gets noisy, not only when setup changes.

## Prerequisites

Before choosing a team strategy, make sure:

- OpenClaw and the Hindsight plugin are already installed.
- Your team knows which conversations should stay personal and which should be shared.
- You have one Hindsight backend, local or cloud, that all participating agents can reach.

Base setup references: [OpenClaw integration docs](https://hindsight.vectorize.io/docs/integrations/openclaw), [quickstart guide](https://hindsight.vectorize.io/docs/quickstart), [Retain API reference](https://hindsight.vectorize.io/docs/api/retain), and [docs home](https://hindsight.vectorize.io/docs).

## Step by step

### 1. Understand the three bank patterns that matter

For most teams, the real choices are:

| Pattern | Example | Best for |
|---|---|---|
| Per-user | `["provider", "user"]` | personal assistants, support bots that serve individuals |
| Per-user plus per-agent | `["agent", "provider", "user"]` | strict isolation between agent roles |
| Shared fixed bank | `bankId="team-product-alpha"` | collaborative team workflows |

The default pattern is safer. The shared pattern is more powerful. Which one you want depends on how much coordination the team actually needs.

### 2. Start with per-user unless the workflow is truly shared

Most teams should begin with:

```json
["provider", "user"]
```

Why? Because it keeps one human's context together across channels on the same platform, but it still avoids mixing different users or different providers automatically.

You can apply it with:

```bash
python3 - <<'PY'
import json, pathlib
path = pathlib.Path.home() / '.openclaw' / 'openclaw.json'
config = json.loads(path.read_text())
entries = config.setdefault('plugins', {}).setdefault('entries', {})
plugin = entries.setdefault('hindsight-openclaw', {'enabled': True, 'config': {}})
cfg = plugin.setdefault('config', {})
cfg['dynamicBankId'] = True
cfg['dynamicBankGranularity'] = ['provider', 'user']
path.write_text(json.dumps(config, indent=2) + '\n')
print(f'Updated {path}')
PY
```

### 3. Move to a fixed shared bank only when collaboration is the point

If multiple people or multiple agents need to build on one shared context, use a fixed bank instead:

```bash
python3 - <<'PY'
import json, pathlib
path = pathlib.Path.home() / '.openclaw' / 'openclaw.json'
config = json.loads(path.read_text())
entries = config.setdefault('plugins', {}).setdefault('entries', {})
plugin = entries.setdefault('hindsight-openclaw', {'enabled': True, 'config': {}})
cfg = plugin.setdefault('config', {})
cfg['dynamicBankId'] = False
cfg['bankId'] = 'team-product-alpha'
path.write_text(json.dumps(config, indent=2) + '\n')
print(f'Updated {path}')
PY
```

This works well for team planning, shared project coordination, and collective knowledge capture. It works badly for personal assistant workflows.

### 4. Use `retainMission` to keep recall clean

Whatever bank pattern you choose, a focused retention rule matters more in team setups because the bank fills faster:

```text
Extract durable project decisions, recurring tasks, stable preferences, important constraints, and shared context. Ignore one-off chatter, duplicate logs, and transient tool output.
```

This is one of the highest leverage settings in the whole system. It often matters more than recall budget.

### 5. Pick one pattern per workflow, not per company

A company usually needs more than one strategy.

For example:

- customer support agent: per user
- shared release manager: fixed team bank
- engineering assistant: team bank or project bank

That is a healthier model than forcing the whole organization into one memory shape.

## Verifying it works

### Print the active bank settings

```bash
python3 - <<'PY'
import json, pathlib
path = pathlib.Path.home() / '.openclaw' / 'openclaw.json'
config = json.loads(path.read_text())
plugin = config['plugins']['entries']['hindsight-openclaw']['config']
print('dynamicBankId:', plugin.get('dynamicBankId'))
print('dynamicBankGranularity:', plugin.get('dynamicBankGranularity'))
print('bankId:', plugin.get('bankId'))
PY
```

### Test the pattern you actually chose

- If you chose per-user sharing, the same user should retain continuity across channels.
- If you chose a shared team bank, different team members or agent roles should be able to build on the same context.

## Troubleshooting / common errors

### Recall is too noisy

Your bank is too broad, or your retain mission is too loose.

### Users see each other's context

You picked a shared bank for a workflow that should have been per-user.

### Team knowledge never compounds

You stayed on a strict per-user pattern even though the workflow is collaborative.

## FAQ

### Should we always remove `agent` from the bank granularity?

No. Remove it only when agents should collaborate through the same memory bank.

### Is one fixed bank easier to manage?

Yes, but easy is not always correct. A single bank is only useful when the shared workflow is intentional.

### Can we change strategies later?

Yes. You can migrate from dynamic banks to a fixed bank, or the reverse, as long as you understand that each strategy points at a different memory space.

## Next Steps

- Start with [Hindsight Cloud](https://hindsight.vectorize.io) if your team wants one managed backend.
- Keep the [OpenClaw integration docs](https://hindsight.vectorize.io/docs/integrations/openclaw) open for the full plugin configuration surface.
- Use the [quickstart guide](https://hindsight.vectorize.io/docs/quickstart) if you still need a backend.
- Read the [Recall API reference](https://hindsight.vectorize.io/docs/api/recall) and [Retain API reference](https://hindsight.vectorize.io/docs/api/retain) before tuning retrieval or storage.
- Compare the broader collaboration pattern in [Team Shared Memory for AI Coding Agents](https://hindsight.vectorize.io/blog/team-shared-memory-ai-coding-agents).
