mcp server
epiphany
One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
Description as published by the maintainer. Source
- version 0.5.0
- active
- memory and context
active — Most recent push to the repository was 2026-08-01. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-01 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.5.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-01 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-08-01 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Delimit
— last commit 2026-07-28, shares cross-model
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Delimit — API Governance for AI Coding Assistants
— last commit 2026-07-28, shares cross-model
API governance for AI coding assistants. Breaking changes, policies, cross-model context.
-
com.runmemento/memento
— last commit 2026-05-17, shares ai-memory, local-first, memory
Local-first, LLM-agnostic memory layer for AI assistants.
-
shyn
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Local-first ambient memory for your Mac — pages, meetings, notes, encrypted on-device.
-
Docmancer
— last commit 2026-08-05, shares ai-memory, local-first, memory
Local-only MCP server for source-attributed Markdown memory and documentation retrieval.
-
io.github.aayoawoyemi/ori-memory
— last commit 2026-07-30, shares ai-memory, local-first, memory
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
-
Palace
— last commit 2026-08-03, shares ai-memory, local-first, memory
Local-first memory for coding agents — MCP server, single SQLite file, local embeddings
-
io.github.bobybarack/sovseal-memory
— last commit 2026-08-05, shares ai-memory, local-first, memory
Local-first, zero-knowledge AI memory across Claude, Cursor, and every MCP client. 0 RTT reads.
-
ai.atlaso/mcp
— last commit 2026-07-27, shares ai-memory, memory
AI memory layer — one shared, persistent memory across every AI tool you connect.
-
Synap Memory
— last commit 2026-08-06, shares ai-memory, memory
Persistent memory for AI agents — log and recall conversation context over MCP.
These share tags the maintainers applied themselves, such as cross-model, ai-memory, local-first, memory. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-memory, claude, cross-model, llm, local-first, mcp, memory, model-context-protocol.
This record as data
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