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Lets AI store and semantically recall durable memories across sessions and tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Synapse" yet — see the docs or source repo.
Please store my output preferences as memory: keep answers concise, prioritize steps, and use Python for code examples. Apply these preferences in future sessions.
The tool stores the user's preferences so the AI can automatically adapt responses in later sessions.
Find the key decisions from our previous mobile redesign discussions, especially navigation structure, target users, and launch timeline.
The tool returns a summary of relevant past memories so work can resume with full context.
Store these research findings as long-term memory: users care more about privacy, local-first solutions are preferred, and not requiring an API key significantly lowers adoption barriers. Prioritize these findings in future similar analyses.
The tool saves reusable research findings that can be semantically recalled and referenced in future related analysis.
Retrieve past conversation memory so AI coding assistants can reuse proven solutions.
Lets AI query code symbols, dependencies, and call graphs accurately.
Give AI expiring memory and semantic search for documents and context.
Analyze codebases, find symbols, and plan code changes efficiently for AI agents.
Provide encrypted persistent memory and trust scoring for AI agents.
Connect Home Assistant to coding agents for config management and automation troubleshooting.