ml4t-agent-state-memory SKILL.md skillA
ml4t-agent-state-memory from ml4t/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ml4t/skills/ml4t-agent-state-memory@git:20260901.c415df0Pins git:20260901.c415df0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ml4t/skills
- Path
advanced-ai/agent-state-memory/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260901.c415df0, committed Sep 1, 2026
- First version recorded
- May 28, 2026
- Size
- 3,346 bytes
- Repository stars
- 41
- License
- Apache-2.0
Durable agent state, memory, and replay for autonomous research workflows. Use when an agent must resume, audit, or compare multi-step runs.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agent State and Memory
Agent memory should be an explicit state object that can be serialized, replayed, and inspected. Chat history is not enough because it loses typed evidence, tool provenance, and quality gate status.
## The Problem
Long-running research agents make dozens of tool calls and intermediate judgments. If the only memory is the prompt transcript, the run cannot be resumed safely, audited by a reviewer, or compared against an ablation. The agent may also reuse stale claims because evidence has no timestamp or source boundary.
## The Pattern
### WRONG
```python
messages = []
messages.append({"role": "user", "content": task})
while True:
answer = llm(messages)
messages.append(answer)
if "done" in answer["content"].lower():
break
```
### CORRECT
```python
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Any
import json
@dataclass
class AgentState:
task: str
evidence: list[dict[str, Any]] = field(default_factory=list)
tool_trace: list[dict[str, Any]] = field(default_factory=list)
decisions: list[dict[str, Any]] = field(default_factory=list)
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-agent-state-memory@sha256:60bfe217a86a136cThe line at the top of this page pins the label git:20260901.c415df0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_w5vwpc7u6wgvqo4x)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between May 28, 2026 and Sep 1, 2026, about one every 96 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.c415df0 latest | 2026-09-01 | c415df0 | 3,346 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 3,355 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3346 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ml4t/skills · 41 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_w5vwpc7u6wgvqo4x GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-agent-state-memory GET https://markdownregistry.com/api/v1/blob/60bfe217a86a136c0229b284a64d3aa1cfa3106922835a831ed156f7ec705fce
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.