Synapse Layer | By Ismael Marchi

Corpus Hub contributor since 2026-10-22

Synapse Layer | By Ismael Marchi's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

4files

204lines

★ 13GitHub stars on repo

Totals across every corpus @SynapseLayer appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the synapse-layer corpus

SynapseLayer/synapse-layer: MCP-native infrastructure for persistent AI agent memory with encrypted storage, semantic retrieval and cross-agent continuity

Look up how synapse-layer implements ai-agents, encrypted-memory, mcp, with answers cited to file and line.
Reuse a worked example: the commit “align public claims with the real cryptography (G7)” (4 files · Python).
Answer from synapse-layer's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does synapse-layer handle “align public claims with the real cryptography (G7)”?
How does synapse-layer implement ai-agents?
What does synapse_memory do in synapse-layer?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository SynapseLayer/synapse-layer with XERJ (https://hub.xerj.org/corpus/synapselayer--synapse-layer).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/SynapseLayer/synapse-layer synapse-layer && git -C synapse-layer checkout b6c63d3120136cd8284a665f4846e0372538ad6e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./synapse-layer --url http://127.0.0.1:9200 --prefix synapse-layer --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: Apache-2.0. Keep the copyright notice and credit the authors.

corpus synapselayer--synapse-layer · AI, prompts and agents
Related corpora: agno, atoma-run--atoma, jushayden/claude-code-memory-cache, anonalabs/Anona-Memory-SDK
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 13

SynapseLayer/synapse-layer

b6c63d3120 fix(claims): align public claims with the real cryptography (G7) (#42)

selected commit: 4 files · 204 lines · Python · synapse_memory, tests, examples

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus synapselayer--synapse-layerAIApache-2.0ai-agentsencrypted-memorymcpmemorycross-agent-memorypersistent-memory agreed 2026-10-22

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/SynapseLayer/badge.svg)](https://hub.xerj.org/contributors/SynapseLayer)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.