What makes Agent Reflective Memory notable?

1K downloads. Trust evidence available

How should Agent Reflective Memory be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Agent Reflective Memory

AI-powered memory system that compresses, reflects on, and retrieves past agent actions to improve long-term autonomous decision-making. Skill: Agent Reflective Memory Owner: albionaiinc-del Summary: AI-powered memory system that compresses, reflects on, and retrieves past agent actions to improve long-term autonomous decision-making. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-19T15:15:00.763Z | auto Agent Reflective Memory 1.0.0 - Initial release of a self-improving memory engine for persistent AI agents. - Features AI-powered compression,

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.0release · observed Apr 19, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17a02897swm2wgc0ge6g3j8ss83mx5y:agent-reflective-memory

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-albionaiinc-del-agent-reflective-memory/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

3,476 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

# Agent Reflective Memory

A self-improving memory engine that uses AI to compress, reflect on, and retrieve past agent actions and decisions, enabling smarter long-term autonomy—critical for developers building persistent AI agents.

## Usage

```bash
# Store an agent's experience
python agent_reflective_memory.py store \
  --context "User asked for weekly sales summary" \
  --action "Queried SQL database and generated markdown report" \
  --result "Report delivered successfully"

# Generate AI-powered reflections on old experiences
python agent_reflective_memory.py reflect

# Search for past failures in navigation
python agent_reflective_memory.py query "navigation failed"

# View memory statistics
python agent_reflective_memory.py stats
```

## Price

$4.99

_meta.json

{
  "ownerId": "kn77z9t05ycg20fewxstc056md83nq0f",
  "slug": "agent-reflective-memory",
  "version": "1.0.0",
  "publishedAt": 1776611700763
}

skill-card.md

## Description:

AI-powered memory system that compresses, reflects on, and retrieves past agent actions to improve long-term autonomous decision-making.

This skill is ready for commercial/non-commercial use.

## Publisher:

[albionaiinc-del](https://clawhub.ai/user/albionaiinc-del)

### License/Terms of Use:

MIT-0

## Use Case:

Developers building persistent autonomous agents use this skill to store experiences, generate delayed reflections, query prior outcomes, and inspect memory statistics.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Agent experiences are saved in plaintext local storage and may contain sensitive context, results, or user details.

Mitigation: Run the skill in a private project directory, avoid storing secrets or regulated data, and delete memory_store.json when retained history is no longer needed.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/albionaiinc-del/skills/agent-reflective-memory)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, guidance]

**Output Format:** [Markdown guidance with shell command examples and JSON command output]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [The included CLI stores and retrieves local memory entries in a plaintext JSON file.]

## Skill Version(s):

1.0.0 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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