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rafacpti23

Synapse Layer

by Rafa Martins · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
59
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0
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1
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Install in OpenClaw
/install synapse-layer
Description
Provides persistent, encrypted AI agent memory with a 4-layer security pipeline for storing, retrieving, sharing, and analyzing agent memories.
Usage Guidance
Key issues to consider before installing: - Credentials mismatch: the package requires an API key (examples and test script), but the registry declares none. Do not provide an API key until the skill's expected secret name and storage method are confirmed. - False security claims: the docs promise client-side encryption and AES/PBKDF2 processing, but the included SynapseClient sends plaintext JSON to the remote endpoint with only an Authorization header. Ask the publisher to show where client-side encryption is performed (code, libs, or steps). If client-side encryption is not performed, the 'zero-knowledge' claim is inaccurate and you should not send sensitive PII or secrets to this service. - Secret handling: the test script prints part of the API key to stdout and the docs recommend putting the API key in gateway config. That can leak keys into logs/backups. If you must test, use a non-production key, rotate it after testing, and avoid running tests on production systems. - Audit network endpoint: the client talks to https://forge.synapselayer.org/mcp. Verify ownership/trustworthiness of that host before sending production data. Prefer deploying the code in an isolated environment first and monitor outgoing requests. - Clarify the pip package: SKILL.md suggests 'pip install synapse-layer' but the skill bundle provides scripts only. Confirm whether there is an official package and whether the shipped code matches it. Recommended next steps: ask the publisher for (1) proof/source of client-side encryption (or a build that performs it), (2) the exact environment variable/credential names the skill requires, (3) retention/processing policy for data sent to forge.synapselayer.org, and (4) updated code that avoids printing secrets. Until these are provided, treat the skill as untrusted for sensitive data and prefer local or audited alternatives.
Capability Analysis
Type: OpenClaw Skill Name: synapse-layer Version: 1.0.0 The synapse-layer skill bundle provides a legitimate integration for a persistent memory service. The Python client (scripts/synapse_client.py) and test script (scripts/synapse_test.py) are well-structured and strictly perform API calls to the documented endpoint (forge.synapselayer.org) to store and retrieve agent memories. There is no evidence of malicious intent, data exfiltration of local sensitive files, or harmful prompt injection in the documentation or instructions.
Capability Tags
cryptocan-make-purchasesrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's stated purpose (persistent encrypted memory, cross-agent search, Trust Quotient) aligns with the provided client and MCP endpoints (forge.synapselayer.org). However the registry metadata declares no required credentials while the code and docs clearly expect an API key; this mismatch is unexplained.
Instruction Scope
SKILL.md and scripts instruct the agent to send arbitrary memory content to https://forge.synapselayer.org/mcp and to place an API key in gateway config. The test script requires SYNAPSE_API_KEY and even prints a prefix of it to stdout — exposing sensitive credentials to logs. The documentation also asserts 'zero-knowledge' and client-side encryption, but the included SynapseClient code sends plaintext content in POST bodies with no local encryption, PBKDF2, or AES operations; that is a direct contradiction.
Install Mechanism
There is no install spec in the registry (instruction-only), but SKILL.md suggests 'pip install synapse-layer' while the package is not provided in the skill bundle. The included Python scripts are plain and import httpx; nothing is downloaded from untrusted URLs. Lack of an install spec is low risk, but the mismatch between advising a pip package and shipping local scripts is inconsistent and should be clarified.
Credentials
Registry metadata lists no required environment variables or primary credential, yet scripts and docs require an API key (examples use 'sk_connect_...' and synapse_test.py reads SYNAPSE_API_KEY). The skill would thus need a secret but fails to declare it. Additionally, the skill recommends adding Authorization headers to gateway config (storing an API key in system config) and the test script prints part of the API key to stdout — both are sensitive practices that increase credential exposure.
Persistence & Privilege
The skill does not request elevated platform privileges. always is false and it does not modify other skills' configs. There is no indication it persists beyond its own files or self-configures the agent platform.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install synapse-layer
  3. After installation, invoke the skill by name or use /synapse-layer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Python SDK for Synapse Layer persistent memory infrastructure with 4-layer Cognitive Security Pipeline (PII redaction, AES-256-GCM encryption, intent validation, differential privacy). Includes complete documentation, API reference, security details, framework integrations, and test scripts.
Metadata
Slug synapse-layer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Synapse Layer?

Provides persistent, encrypted AI agent memory with a 4-layer security pipeline for storing, retrieving, sharing, and analyzing agent memories. It is an AI Agent Skill for Claude Code / OpenClaw, with 59 downloads so far.

How do I install Synapse Layer?

Run "/install synapse-layer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Synapse Layer free?

Yes, Synapse Layer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Synapse Layer support?

Synapse Layer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Synapse Layer?

It is built and maintained by Rafa Martins (@rafacpti23); the current version is v1.0.0.

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