Tempera MCP server
io.github.anvanster/tempera·v0.4.29·6 starsPersistent episodic memory for AI coding: capture, retrieve, brief, dream cycle, cross-project.
6 stars
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Tempera tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scansource not scanned: tarball over 25MB25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 121 days ago8/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Tempera compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 63% of 48,255 servers
- GitHub stars
- 6
- more than 85% of 28,688 servers
Install Tempera in Claude Code, Cursor or VS Code
Runs npx -y @astudioplus/tempera-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add tempera -- npx -y @astudioplus/tempera-mcp
What the publisher says
From the Tempera repository's README, as published. We do not edit it. Read it on GitHub
Tempera - Persistent Memory for Claude Code
Tempera gives Claude Code a persistent memory that learns from experience. Instead of starting fresh each session, Claude can recall past solutions, learn what works, and get smarter over time.
Why Tempera?
The Problem: Claude Code forgets everything between sessions. You solve the same problems repeatedly, and Claude can't learn from past successes or failures.
The Solution: Tempera captures coding sessions as "episodes", indexes them for semantic search, and uses reinforcement learning to surface the most valuable memories when relevant.
Without Tempera: With Tempera:
┌─────────────┐ ┌─────────────┐
│ Session 1 │ ──forgotten──> │ Session 1 │ ──captured──┐
└─────────────┘ └─────────────┘ │
┌─────────────┐ ┌─────────────┐ ▼
│ Session 2 │ ──forgotten──> │ Session 2 │ ◄──recalls──┤
└─────────────┘ └─────────────┘ │
┌─────────────┐ ┌─────────────┐ │
│ Session 3 │ ──forgotten──> │ Session 3 │ ◄──recalls──┘
└─────────────┘ └─────────────┘
│ │
▼ ▼
No learning Continuous improvementHow It Works
The Learning Loop
┌────────────────────────────────────────────────────────────────┐
│ 1. START TASK │
│ User: "Fix the login redirect bug" │
└────────────────────────────────────────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────────────┐
│ 2. RETRIEVE MEMORIES │
│ Claude searches: "login redirect bug" │
│ Finds: "Fixed similar issue by sanitizing return URLs" │
│ + Session context: related episodes from the same task │
└────────────────────────────────────────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────────────┐
│ 3. SOLVE FASTER │
│ Claude uses past experience to solve the problem │
└────────────────────────────────────────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────────────┐
│ What Makes It "Learn"
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Tempera: common questions
- Is Tempera MCP server safe?
- Mostly: it is graded B (82/100). Read the Tempera safety report
- How do I install Tempera?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Tempera need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Tempera maintained?
- The last commit was 158 days ago (2026-05-29). The latest release is v0.4.29.
- What can I use instead of Tempera?
- Servers from other publishers that do the same job: Deja Vu MCP server, Concord MCP server and Memorix MCP server.
- How does Tempera compare with other MCP servers?
- safety score 82/100 (higher than 63% of 48,255 servers); github stars 6 (more than 85% of 28,688 servers). Full comparison.
Alternatives to Tempera
Same job from other publishers: the closest match first, then the best rated.
- Deja Vudeja-vu: local memory over the session histories of forty-three coding agents.not reviewedEstablishedA
- Concord MCPCross-harness communication and shared work-state for AI coding agents.not reviewedEstablishedA
MemorixLocal-first project memory with legacy MCP and 2026 discovery compatibility.not reviewedEstablishedB
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA
KnowlPersistent memory for AI agents, for code, research and everyday life. Stale facts retire.not reviewedEstablishedA
