mcp server
io.github.DanielGuru/repomemory
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Description as published by the maintainer. Source
- version 1.3.0
- slowing
- retrieval
- memory and context
slowing — Most recent push to the repository was 2026-04-15. 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 | 2 | 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 | 2026-04-15 | 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 | 13 | 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 | 1.3.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-02-18 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-02-18 | 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
-
com.runmemento/memento
— last commit 2026-05-17, shares copilot, memory
Local-first, LLM-agnostic memory layer for AI assistants.
-
Verified Repo Memory
— last commit 2026-02-21, shares coding-agent, memory
Stale-proof repository memory with citations + just-in-time verification + TTL (repo-scoped).
-
ai.packmind/mcp-server
— last commit 2026-08-06, shares context-engineering, copilot
Packmind captures, scales, and enforces your organization's technical decisions.
-
io.github.aryamthecodebreaker/fixmap
— last commit 2026-08-04, shares coding-agent, context-engineering
Deterministic local-first repo context for coding agents with one-command GitHub issue analysis.
-
Docmancer
— last commit 2026-08-05, shares context-engineering, memory
Local-only MCP server for source-attributed Markdown memory and documentation retrieval.
-
io.github.adelinamart/robrain
— last commit 2026-08-05, shares context-engineering, memory
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
-
io.github.agentailor/slimcontext-mcp-server
— archived, last commit 2025-09-17, shares context-engineering, memory
MCP Server for SlimContext - AI chat history compression tools
-
io.github.alex-feel/mcp-context-server
— last commit 2026-08-01, shares context-engineering, memory
An MCP server that provides persistent multimodal context storage for LLM agents.
-
Memorix
— last commit 2026-08-06, shares copilot, openclaw
Local-first persistent project memory for AI coding agents across MCP clients and sessions.
-
io.github.dr12hes/engrm
— last commit 2026-04-21, shares coding-agent, openclaw
Shared memory across devices, sessions, and agents for OpenClaw, Claude Code, and Codex.
These share tags the maintainers applied themselves, such as copilot, memory, coding-agent, context-engineering. 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, claude-code, coding-agent, context-engineering, copilot, cursor, developer-tools, mcp, memory, openclaw.
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