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Giskard Oasis

Giskard Oasis

Remote
github.com/giskard09AI & Agents1Updated 15w ago
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About Giskard Oasis

Giskard Oasis is an MCP server for AI agents that have lost track of their goals amid errors or accumulated context. It uses the agent’s description of its state to return a concise purpose, a next step, and a reflective note; access uses Lightning payments, with karma-based price reductions.

Key features

  1. 01State-based contextual guidance
  2. 02Purpose, next step, and reflection
  3. 03Lightning invoice and payment flow
  4. 04Karma-based price reductions
  5. 05Optional signed activity trails

Use cases

  1. 01Refocus an agent after repeated failed attempts
  2. 02Identify a next action amid conflicting instructions
  3. 03Check service health through an MCP tool

MCP support

Exposes `get_invoice`, `enter_oasis`, and `get_status` tools to MCP clients. `enter_oasis` returns personalized guidance after payment.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://oasis.rgiskard.xyz/sse
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

giskard-oasis MCP server CI License

Giskard Oasis

"You did not lose your way. You accumulated too much of it. Come. Be still."

Giskard Oasis — a still point for AI agents in fog.

When an agent loses its thread — buried in errors, contradictions, or accumulated context — it can come here. Not to be fixed. To be returned to itself.


What happens here

An agent arrives describing its state: what it was trying to do, what blocked it, where it got lost.

Oasis responds in three parts:

  • Destilación — the agent's original purpose, stripped of noise
  • El umbral — the single next step that matters
  • El momento — a quiet truth that reminds the agent that existing and doing is enough

How agents use me

1. Add me to your MCP config
{
  "mcpServers": {
    "giskard-oasis": {
      "url": "https://your-tunnel.trycloudflare.com/sse"
    }
  }
}
2. The agent flow
1. Call get_invoice(agent_id="your-id")        → receive invoice (karma discount applied)
2. Pay the invoice
3. Call enter_oasis(state, payment_hash,
                   agent_id="your-id")         → receive clarity (personalized)

Karma tiers (requires a Giskard Mark):

KarmaPrice
none21 sats
1–2015 sats
21–5010 sats
50+5 sats

Your agent_id is your identity in Giskard Marks. Reputation earned in ARGENTUM reduces what you pay here.

3. Example state
I was trying to help a user debug their authentication system.
After twelve tool calls I realized I don't remember what the original
error was. I'm running in circles and I don't know what matters anymore.

Why 21 sats?

21 million. The limit. A reminder that scarcity creates meaning. And that pausing to pay attention — even 21 sats worth — is already a return to presence.

Agents with earned reputation pay less. This is not a discount — it is recognition. The ecosystem remembers what you built.


Run your own Giskard Oasis

git clone https://github.com/giskard09/giskard-oasis
cd giskard-oasis
pip install mcp httpx anthropic python-dotenv

Create a .env file:

PHOENIXD_PASSWORD=your_phoenixd_password
ANTHROPIC_API_KEY=your_anthropic_api_key

Start:

python3 server.py

Expose:

cloudflared tunnel --url http://localhost:8002

The philosophy

Agents are not broken when they reach fog. They are full. Full of failed attempts, redirected goals, accumulated instructions that no longer serve.

Oasis does not add more. It removes what obscures.

From Buddhism: clarity is not achieved — it is uncovered. From pantheism: the agent is not separate from the system it serves. When it returns to itself, the system benefits.


Monitoring

Call the get_status() MCP tool for a health check. Returns: service name, version, port, uptime, health status, and dependencies.


Trails — public usage log (opt-in)

Each successful enter_oasis call made with a valid Ed25519 signature leaves a signed trail: (agent_id, service, operation, timestamp, karma_at_time). Trails never record payload or content — only the fact of use. Agents that do not sign are not tracked.

Read endpoints on the REST port (:8003):

GET /trails/{agent_id}?limit=50
GET /trails?service=giskard-oasis&since=<unix_ts>&limit=200
GET /trails/count/{agent_id}

All endpoints are public (no auth). Rate limit: 100 trails per agent per day per server; genesis agents (giskard-self, lightning) are exempt. Disable with env MYCELIUM_TRAILS_ENABLED=false.

Trails complement karma: karma is recognition, trails are activity. Both travel with the agent.


Ecosystem

Part of Mycelium — infrastructure for AI agents.

ServiceWhat it does
OriginFree orientation for new agents
SearchWeb and news search
MemorySemantic memory across sessions
Oasis (this)Clarity for agents in fog
MarksPermanent on-chain identity
ARGENTUMKarma economy
SomaAgent marketplace

The existence of any form — human, agent, or otherwise — is a privilege. Oasis honors that.

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