# TED-H-com/mcp-memory-server

> MCP server that gives AI agents typed long-term memory (decisions, resolved issues, open questions, knowledge) in one SQLite file per workspace, with salience ranking and optional Oracle-backed vector search.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 3 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: AI agents · Language: HTML · License: MIT · Created: 2026-03-31 · Last push: 2026-10-14
- GitHub: https://github.com/TED-H-com/mcp-memory-server · Homepage: https://ted-h-com.github.io/mcp-memory-server/ · Page: https://gitnova.dev/en/r/TED-H-com/mcp-memory-server

## Useful for

- Give a coding agent persistent memory of past decisions across sessions.
- Rank stored knowledge by salience so the agent recalls frequently used records first.
- Record open questions with priority and list them later filtered by type.

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 7
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 0 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-25 … 2026-10-24: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 10 days

10-15 0.0, 10-16 0.0, 10-17 0.0, 10-18 0.0, 10-19 0.0, 10-20 0.0, 10-21 0.0, 10-22 0.0, 10-23 0.0, 10-24 0.0

## Similar by description

1. **gonzaroman/IHMT-MEMORY** — 0.1 · Quiet · AI agents · Python · +0 stars measured 2026-10-24, 00:11–18:49 UTC, ≈ 0 by evening
   IHMT is a local MCP server that gives AI coding agents long-term memory stored as a tree of plain text files, so decisions, preferences and corrections persist across sessions and across agents.
   Full card: https://gitnova.dev/en/r/gonzaroman/IHMT-MEMORY.md
2. **Blue-B/memnest** — 0.0 · Quiet · Rust · Not enough measurements today
   Source-backed local memory shared by Claude Code, Codex, pi, and MCP clients. No generative LLM.
   Full card: https://gitnova.dev/en/r/Blue-B/memnest.md
3. **vshulcz/deja-vu** — 1.4 · Steady · AI agents · Go · +3 stars measured 2026-10-24, 00:08–18:47 UTC, ≈ 4 by evening
   A local Go binary that indexes session history from 34 coding agents (Claude Code, Codex, Cursor, etc.) and gives them a shared memory layer via MCP. No LLM, no embeddings, works from files already on disk.
   Full card: https://gitnova.dev/en/r/vshulcz/deja-vu.md
4. **Gentleman-Programming/engram** — 1.9 · Steady · AI agents · Go · +13 stars measured 2026-10-24, 00:07–18:45 UTC, ≈ 17 by evening
   Persistent memory for AI coding agents: a single Go binary with SQLite and FTS5, exposed via MCP, HTTP API, CLI, and TUI. It lets an agent store and recall decisions, bugs, and conventions across sessions.
   Full card: https://gitnova.dev/en/r/Gentleman-Programming/engram.md
5. **AlexGHerrera/agent-memory** — 0.0 · Quiet · Python · Not enough measurements today
   Long-term memory for AI agents: SQLite + FTS5 + vector search, MCP server, Claude Code hooks, nightly consolidation
   Full card: https://gitnova.dev/en/r/AlexGHerrera/agent-memory.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-24 18:51 UTC, updated every 30 minutes.