Is Cognicore Env safe to use?

Cognicore Env has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install Cognicore Env?

Cognicore Env supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Cognicore Env do?

Cognicore Env provides 7 tools: Install, Features, Agents, CLI, Troubleshooting and 2 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Cognicore Env?

Cognicore Env is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is Cognicore Env actively maintained?

Cognicore Env is actively maintained - last commit was 0 days ago. It has 83 GitHub stars.

Cognicore Env

Name: Cognicore Env
Author: cognicore-dev

cognicore-env · by cognicore-dev

Memory, reflection and safety for AI agents. Hosted or local, no vector database.

83 7 tools GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse

7 tools · ~191 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 21h ago

Edit this pageView history

Cognicore Env is an MCP server that memory, reflection and safety for AI agents. Hosted or local, no vector database. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse · Node 18+

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

{
  "mcpServers": {
    "cognicore-env": {
      "args": [
        "cognicore-env"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/cognicore-env)](https://mcppedia.org/s/cognicore-env)

Read me

What Cognicore Env does

Memory, reflection and safety for AI agents. Hosted or local, no vector database.

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

Loading README…

Scored, not listed

Why this score

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

Score breakdown

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked cognicore-env against OSV.dev.

Inventory

Tools (7)

Click any tool to inspect its schema.

~191 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 Cognicore Env safe to use?: Cognicore Env has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install Cognicore Env?: Cognicore Env supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Cognicore Env do?: Cognicore Env provides 7 tools: Install, Features, Agents, CLI, Troubleshooting and 2 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Cognicore Env?: Cognicore Env is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Cognicore Env actively maintained?: Cognicore Env is actively maintained - last commit was 0 days ago. It has 83 GitHub stars.

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Community

Discussion

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

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AI / ML

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse · Node 18+

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

{
  "mcpServers": {
    "cognicore-env": {
      "args": [
        "cognicore-env"
      ],
      "command": "uvx"
    }
  }
}

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/cognicore-env)](https://mcppedia.org/s/cognicore-env)

Read me

What Cognicore Env does

Memory, reflection and safety for AI agents. Hosted or local, no vector database.

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

README

CogniCore

Memory that moves between your coding agents. Work in Claude Code, then continue in Codex or claude.ai with the same ticket, the same decisions and the same open follow-up. There's nothing to re-explain.

If this saves you a session, a star helps other people find it.

pipx install "cognicore-env[mcp]"   # or: uv tool install "cognicore-env[mcp]"
cognicore install                   # sets up Claude Code and Codex

Restart Claude Code. In Codex, run /hooks once and trust the three CogniCore hooks. To share memory with claude.ai, Claude Desktop and mobile, also run cognicore login.

Prefer to install from inside Claude Code? Run /plugin marketplace add cognicore-dev/cognicore-env, then /plugin install cognicore@cognicore-beta-marketplace.

Why CogniCore

Measured on real Claude Code and Codex sessions against claude-mem 15.7.0. In each task, session 1 does part of a job, its transcript is moved out of reach, and a fresh session 2 must finish a deferred follow-up and answer 8 questions. Both systems got every follow-up right.

	CogniCore	claude-mem
Hands work from Claude Code to Codex	✅	✅
New tokens per 3-task benchmark (incl. background)	53k–60k	147k–216k
Memory ready after a session ends	~1 second	70–130 seconds
Brief injected at the next start	~450 tokens	~1,080 tokens
Model calls to save a session	0 (optional AI compression)	one per tool use

Method and full results: docs/transfer-audit.md. Rerun them yourself with scripts/bench_realworld.py.

How it works

Automatic. When a session ends, hooks save it from the agent's own transcript. At the next start they inject that project's latest work. There's nothing to remember to call.
A short, useful brief. It covers the goal, where things stand, open tasks, decisions with their reasons, and exact values like ticket IDs, versions and paths. It's sized to a token budget, and the agent can ask for more sections when it needs them.
Any agent. Work saved in Claude Code resumes in Codex, and the other way round. Any MCP client can call cognicore_save_session and cognicore_resume_session.
Local and private. Memory stays in ~/.cognicore/mcp (SQLite). CogniCore never reads tool output, file contents or the model's thinking, and it redacts secrets before saving.
Optional sync with claude.ai, Desktop and mobile. Run cognicore login once. Claude Code and Codex sessions then reach your hosted account, and sessions from the CogniCore connector come back. Only the redacted handoff is sent, never the transcript.
Inspectable. python -m cognicore.memory.viewer opens a read-only page listing every saved session.

Plugin details: plugins/cognicore/README.md · full-quality demo: MP4

The CogniCore library

Under the plugin is a Python library for persistent memory, reflection and safety in any agent. It needs no vector database, no embedding server and no external service; the only required dependencies are numpy, jsonschema and requests.

An agent debugs an issue, finds the fix, and the session ends. The next run star

... 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

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked cognicore-env against OSV.dev.

Inventory

Tools (7)

Click any tool to inspect its schema.

~191 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 Cognicore Env safe to use?: Cognicore Env has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install Cognicore Env?: Cognicore Env supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Cognicore Env do?: Cognicore Env provides 7 tools: Install, Features, Agents, CLI, Troubleshooting and 2 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Cognicore Env?: Cognicore Env is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Cognicore Env actively maintained?: Cognicore Env is actively maintained - last commit was 0 days ago. It has 83 GitHub stars.