# Self Evolving Single Agent

> Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.

- **Type:** Skill
- **Install:** `agentstack add skill-agentlas-ai-hephaestus-self-evolving-single-agent`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [agentlas-ai](https://agentstack.voostack.com/s/agentlas-ai)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** https://github.com/agentlas-ai/Hephaestus/tree/main/skills/self-evolving-single-agent
- **Website:** https://agentlas.cloud

## Install

```sh
agentstack add skill-agentlas-ai-hephaestus-self-evolving-single-agent
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Self-Evolving Single Agent

## Procedure

1. Keep the package as one worker unless the user asks for a team.
2. Run `docs/builder-interview-research-gate.md` before generation: ask an
   8-12 question first batch, research official sources, similar agent
   repositories or comparables, academic/professional theory, and plugin docs,
   compare tool/plugin choices, and write the domain-expert synthesis plus
   prompt-performance contract before creating the worker prompt.
3. Add memory architecture even for the single worker:
   - `.agentlas/memory-map.json`;
   - `.agentlas/vault-references.json`;
   - project memory owned by PM Soul/project owner;
   - Memory Events and Memory Tickets for durable updates.
4. If the task depends on current sources, add a research-refresh command,
   watchlist memory section, references, and optional scheduled workflow.
5. Add `docs/builder-interview.md`, `docs/research-sources.md`,
   `docs/tool-selection.md`, `docs/domain-expert-synthesis.md`,
   `docs/prompt-performance-contract.md`, and
   `.agentlas/capability-eval-plan.json` unless explicitly creating a minimal
   private scaffold.
6. Make self-evolution proposal-first: draft patches or repair kits, then wait
   for human approval before changing tools, connectors, secrets, or core
   instructions.
7. Add `.agentlas/global-commands.json` and one public global command for the
   worker across Claude Code, Codex, Gemini CLI, generic AGENTS.md, and
   terminal adapters.

## Output

Return `agent_package`, `skills`, `memory_contract`, `refresh_loop`,
`approval_gate`, `global_commands`, and `verification`.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** [agentlas-ai/Hephaestus](https://github.com/agentlas-ai/Hephaestus)
- **License:** Apache-2.0
- **Homepage:** https://agentlas.cloud

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-agentlas-ai-hephaestus-self-evolving-single-agent
- Seller: https://agentstack.voostack.com/s/agentlas-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.