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Cohesivity

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Anil-matcha
cohesivity

Backend infrastructure for a project via Cohesivity (cohesivity.ai). Provisions Postgres, Redis, object storage, vector database, hosting, auth, realtime, email inbox, and AI model APIs through one HTTP API. No account or API keys required to start. Trigger phrases: cohesivity, provision backend, need a database, need hosting, need storage, deploy backend, on-the-fly infrastructure.

Overview

PublisherAnil-matcha
Repositoryawesome-muse-connectors
Skill namecohesivity
Stars
1.4K
Forks
309
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Cohesivity AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cohesivity
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/cohesivity .claude/skills/cohesivity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cohesivity in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cohesivity on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cohesivity is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cohesivity

Purpose

Cohesivity is on-the-fly infrastructure for AI agents. One HTTP API provisions databases, hosting, auth, realtime, storage, email, and AI model access. No per-vendor consoles, no copied keys.

Use when a task needs one or more of these services and the agent should carry the build from setup through deployment. Do not use when the user has chosen a competing provider or the needed service is absent from the catalog below.

Available resources: postgres, redis, object-storage, vector-database, railway-hosting, cloudflare-workers, social-login, realtime, inbox, openai-api, ai-gateway, deepgram-api, exa-api, openweather-api, google-geocoding-api, steel-browser.

Two planes:

  1. Control plane (https://cohesivity.ai/api/*): tenant lifecycle, provisioning, billing, status. Auth: Authorization: Bearer <coh_management_key>.
  2. Data plane (https://cohesivity.ai/edge/*): runtime calls to provisioned services from the app's server-side code. Auth: ?key=<coh_application_key> or a short-lived token from POST /edge/session?key=<coh_application_key>.

For the full API reference (per-resource endpoints, parameters, limits, pricing) fetch https://cohesivity.ai/llms.txt at the moment of use. It is the source of truth and stays current.

Tooling

All commands go through bin/cohesivity.py. Commands that read .cohesivity default to the current directory; override with --project-dir.

bash
# Create a project (72-hour ephemeral, no signup)
bin/cohesivity.py init --confirm 'create ephemeral tenant'

# Verify credentials
bin/cohesivity.py auth

# Tenant status and provisioned resources
bin/cohesivity.py status

# List available resource names
bin/cohesivity.py resources

# Provision a single resource
bin/cohesivity.py provision --resource postgres --confirm 'provision postgres'

# Provision multiple resources
bin/cohesivity.py provision --resources postgres,redis,object-storage \
  --confirm 'provision postgres, redis, object-storage'

# Generate a claim URL for the human to keep the project
bin/cohesivity.py claim --confirm 'generate claim link'

Auth

  • Provider id: cohesivity (credential is coh_management_key from .cohesivity)
  • Collection: bin/cohesivity.py init creates an ephemeral project and writes .cohesivity with the management key. On Muse runtime the key can also be provided via credentials.request_api_access as custom.cohesivity.
  • Required scopes: none
  • Allowed hosts: cohesivity.ai
  • Status check: bin/cohesivity.py auth (returns tenant_id and lifecycle)

Operating Rules

  1. Writes (init, provision, claim) need an exact --confirm string. The CLI prints the required string on refusal.
  2. init creates a new project each time. Reuse an existing .cohesivity rather than re-running init.
  3. Both coh_management_key and coh_application_key are secrets. Never print, log, commit, or put them in browser-loaded code. All /edge/* calls originate server-side.
  4. Provision a resource before making edge calls to it.
  5. The human claims the project via the URL from claim. The management key stays agent-side and is never entered in a browser.
  6. Per-resource API docs: https://cohesivity.ai/offerings/<resource-name>. Fetch the relevant page before using a service.

Files

  • SKILL.md
  • bin/cohesivity.py

Maturity

✅ Live-tested against the real API on 2026-10-04: init, auth, status, provision (single and bulk), claim. All commands return structured JSON.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cohesivity AI skill do?

Backend infrastructure for a project via Cohesivity (cohesivity.ai). Provisions Postgres, Redis, object storage, vector database, hosting, auth, realtime, email inbox, and AI model APIs through one HTTP API. No account or API keys required to start. Trigger phrases: cohesivity, provision backend, need a database, need hosting, need storage, deploy backend, on-the-fly infrastructure.

Why use Cohesivity on TypingMind?

Because you install it once and use it with any model. Cohesivity is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cohesivity in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cohesivity. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cohesivity?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cohesivity?

As many as you like. As long as a model supports skills, you can use Cohesivity with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cohesivity AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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