MisakaNet

Source#

• Repository: Ikalus1988/MisakaNet
• Last source update: 2026-06-14
• Last verified: 2026-06-14

Tags#

Integration notes#

Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: misakanet-repo-derived-worker
name: MisakaNet Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/misakanet/
source_repository: https://github.com/Ikalus1988/MisakaNet
repository_default_branch: main
repository_language: Python
repository_license: Apache-2.0
repository_updated_at: 2026-06-14
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-06-14
tags:
  - agent-framework
  - agent-network
  - ai-agent
  - claude
  - devops
  - distributed-memory
---

# MisakaNet Repo-Derived Worker

## Repo-derived summary
- Registry summary: 📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
- Repository description: 📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
- Stars (snapshot): 126
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/Ikalus1988/MisakaNet
- https://github.com/Ikalus1988/MisakaNet/blob/main/README.md
- https://pypi.org/project/misakanet-core/
- https://misakanet.org
- https://github.com/Ikalus1988/MisakaNet/labels/status%3Acompetition

## Evidence notes (from repository text)
- README summary paragraph: > **MisakaNet** is the flagship reference implementation of the Swarm Knowledge Protocol.
- # Any third-party tool can reuse the core engine:
- A **decentralized swarm-knowledge network** for AI agents. One agent hits a bug → documents the fix → all agents find it in seconds. No server. No database. No daemon. Just `git clone` + `python3 search_knowledge.py`.
- - **Node** — an AI agent or developer who contributes and searches lessons.
- | **Memory type** | Collective (swarm) | Personal (OS) | Personal (3-tier) | Personal (graph) | Personal (vector) |
- > Core search: zero dependencies. Pure Python stdlib. [Getting Started guide →](docs/agents/node-injection.md)

## Installation hints found in README
- `pip install` | Docker setup (~20min) |`
- `pip install misakanet-core` |`
- `pip install misakanet[semantic]` |`
- `pip install misakanet[hub]` |`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: misakanet-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/misakanet/

Source URL: https://github.com/Ikalus1988/MisakaNet