Is io.github.anvanster/tempera safe to use?

io.github.anvanster/tempera has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.anvanster/tempera?

io.github.anvanster/tempera can be installed by cloning its GitHub repository and following the setup instructions in the README.

What can io.github.anvanster/tempera do?

io.github.anvanster/tempera provides 14 tools: verify_advance, decay, reflect, patterns, contradict and 9 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.anvanster/tempera?

io.github.anvanster/tempera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.anvanster/tempera actively maintained?

io.github.anvanster/tempera is recently maintained — last commit was 53 days ago. It has 4 GitHub stars.

io.github.anvanster/tempera

Persistent episodic memory for AI coding: capture, retrieve, brief, dream cycle, cross-project.

4 14 tools GitHub

No known CVEs

No license

Maintained

Last commit 53d ago

Works with most clients

Transport: stdio, sse, http

14 tools · ~537 tok

Grade B · 0.3% of 200K ctx

MCPpedia last refreshed this data 55m ago

Edit this pageView history

Other

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-anvanster-tempera": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-anvanster-tempera)](https://mcppedia.org/s/io-github-anvanster-tempera)

Read me

What io.github.anvanster/tempera does

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.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

60/100across 5 weighted dimensions

How we score →

0255075100

−40

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (14)

Click any tool to inspect its schema.

~537 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.anvanster/tempera safe to use?: io.github.anvanster/tempera has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.anvanster/tempera?: io.github.anvanster/tempera can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can io.github.anvanster/tempera do?: io.github.anvanster/tempera provides 14 tools: verify_advance, decay, reflect, patterns, contradict and 9 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.anvanster/tempera?: io.github.anvanster/tempera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.anvanster/tempera actively maintained?: io.github.anvanster/tempera is recently maintained — last commit was 53 days ago. It has 4 GitHub stars.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Other

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-anvanster-tempera": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-anvanster-tempera)](https://mcppedia.org/s/io-github-anvanster-tempera)

Read me

What io.github.anvanster/tempera does

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.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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 improvement

How 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           │
└────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌────────────────────────────────────────────────────────────────┐
│  4. CAPTURE SESSION                                            │
│     Claude saves: what was done, what worked, what failed      │
│     Auto-links to current session for multi-step tasks         │
└────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌────────────────────────────────────────────────────────────────┐
│  5. LEARN FROM FEEDBACK                                        │
│     User: "That memory was helpful!"                           │
│     → Episode utility increases                                │
│     → Multi-hop Bellman propagation spreads value               │
│     → Session-linked episodes get boosted                      │
│     → Unhelpful memories fade over time                        │
└────────────────────────────────────────────────────────────────┘

What Makes It "Learn"

Mechanism	What It Does
Feedback	Helpful episodes gain utility score
Multi-hop Bellman Propagation	Value spreads through the similarity graph across multiple hops
Session Chaining	Related episodes in multi-step tasks are linked and boost each other
Temporal Credit	Episodes before successes get credit (even across session boundaries)
Recency Boost	Fresh episodes can be weighted higher in retrieval (opt-in)
**Scope-aware Decay

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

60/100across 5 weighted dimensions

How we score →

0255075100

−40

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (14)

Click any tool to inspect its schema.

~537 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.anvanster/tempera safe to use?: io.github.anvanster/tempera has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.anvanster/tempera?: io.github.anvanster/tempera can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can io.github.anvanster/tempera do?: io.github.anvanster/tempera provides 14 tools: verify_advance, decay, reflect, patterns, contradict and 9 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.anvanster/tempera?: io.github.anvanster/tempera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.anvanster/tempera actively maintained?: io.github.anvanster/tempera is recently maintained — last commit was 53 days ago. It has 4 GitHub stars.

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Headroom95

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

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Pi Lean Ctx95

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Brigade93

One local source for the MCP servers, tools, and memory your AI coding agents share, synced into each tool's native config with a review gate and a receipt for every change. No daemon, no lock-in.

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MCP Security Weekly

Get CVE alerts and security updates for io.github.anvanster/tempera and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?