Agent Memory

Agent Memory

Give your agent persistent memory across sessions. Before starting any task, recall what went wrong last time. After completing work, capture whether it succeeded or failed. Prevention rules are auto-generated from repeated mistakes.

Setup

Add the MCP server (one-time):

claude mcp add thumbgate -- npx -y thumbgate serve

No API key needed. All data stays local.

When to Use

• Starting a new task or session — recall past context first
• After completing work that succeeded or failed — capture feedback
• When the agent keeps making the same mistake — check prevention rules

Workflow

Step 1: Recall past context (do this FIRST on every task)

Call the recall MCP tool with a description of your current task. The tool returns:

• Past feedback relevant to this task (vector similarity search)
• Active prevention rules (auto-generated from repeated failures)
• Recent feedback summary with approval rate

Read the prevention rules carefully. These are patterns that failed before — follow them.

Step 2: Do your work

Complete the task as normal. Keep track of what you did and whether it worked.

Step 3: Capture feedback

Call the capture_feedback MCP tool:

If succeeded:

• signal: up
• context: What worked and why
• tags: Category labels

If failed:

• signal: down
• context: What you were trying to do
• whatWentWrong: Specific failure description
• whatToChange: How to avoid this next time
• tags: Category labels

Vague feedback like "it failed" will be rejected. Be specific.

Step 4: Check improvement (optional)

Call the feedback_stats MCP tool to see approval rate, top failure domains, and whether the agent is trending better or worse.

Available MCP Tools

Tool	What it does
recall	Search past feedback and prevention rules for current task
capture_feedback	Record what worked or failed with structured context
prevention_rules	View auto-generated rules from repeated mistakes
feedback_stats	Approval rate, trend analysis, top failure domains
feedback_summary	Human-readable summary of recent signals

MCP Profiles

Profile	Tools	Use case
essential	5 core tools	Default — start here
commerce	6 tools + commerce_recall	Agentic commerce agents
default	12 tools	Full pipeline including DPO export

Set profile: THUMBGATE_MCP_PROFILE=essential npx thumbgate serve

How Prevention Rules Work

1. Agent makes mistake A → you capture down feedback
2. Agent makes mistake A again → you capture down feedback again
3. System detects pattern → auto-generates prevention rule: "NEVER do A"
4. Next session → recall returns the rule → agent follows it

This is the core value. The agent doesn't learn — but it reads the rules and follows them.

Links

• GitHub
• npm
• MCP Registry