altk-evolve: Instructions file for Codex

AGENTS.md

altk-evolve AGENTS.md is an instructions file for Codex, OpenCode from AgentToolkit/altk-evolve. It costs 1,057 tokens per session, scanned A, original, Apache-2.0.

Instructions for AgentToolkit's Evolve system, a Python library and service that helps AI agents improve from past conversations. It stores reusable guidelines and retrieves them for similar future tasks.

In plain words
What is it for?
Use it to understand Evolve's concepts, processing flow, storage namespaces, conflict handling, and project layout.
Why use it?
It explains how recorded agent conversations become organized knowledge instead of remaining isolated logs.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code.

This is AgentToolkit/altk-evolve's own configuration. It tells Codex and OpenCode how to work on altk-evolve itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything altk-evolve configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AgentToolkit/altk-evolve. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/AgentToolkit/altk-evolve/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/AgentToolkit/altk-evolve

Made for: Codex, OpenCode.

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Per session 1,057 This file is loaded in full into every session.
When invoked 1,057 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01057 $0.01057
Opus 5.5 $0.00423 $0.00423
Sonnet 5.5 $0.00211 $0.00211
Haiku 4.5 $0.00106 $0.00106

Measured 2mo ago against content hash 50c72ce1e9dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

altk-evolve AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What is Evolve?

Evolve is a Python library and service which enables AI agents to improve through self-reflection.

Key Concepts

  • Trajectory: A recorded agent conversation
  • Entity: Anything which is appropriately stored in a vector database, such as a guideline, policy, or some other knowledge.
  • Namespace: Isolated storage for entities
  • Conflict Resolution: LLM-based merging of duplicate/conflicting entities
  • Guidelines: Instructions intended to assist an agent in completing some task

Architecture Flow

  1. Agent completes some task, and the resulting trajectory is automatically saved into a logging framework such as Langfuse or Arize Phoenix.
  2. The agent can call the sync MCP function, or the user can manually sync, which causes evolve to process the trajectory and save any generated guidelines.
  3. Generated guidelines are stored as entities with conflict resolution applied.
  4. Future agents can query the Evolve MCP server to fetch guidelines for similar tasks

Project Directory Tree (Some files omitted for brevity)

.
├── demo (Files used by the Claude Code demo)
│   ├── filesystem
│   └── workdir
├── docs (Data used by README files)
├── explorations (Tangential projects for feeling out future work. Should be avoided unless otherwise prompted.)
│   └── claudecode
├── evolve (Primary Source Root)
│   ├── backend (Entity Database Backend implementations, primarily vector databases)
│   ├── cli (A CLI wrapper over the native Python client)
│   ├── config (All configurations which are derived from environment variables or instantiated as an object)
│   ├── db (A sqlite database for when vector databases are a poor fit for the data)
│   ├── frontend (Interfaces to interact with the backend)
│   │   ├── client (A native Python client which thinly wraps the configured backend)
│   │   └── mcp (An MCP server implementing some high-level methods useful for AI agents)
│   ├── llm (All code that prompts an LLM)
│   ├── schema (All well-defined datatypes used throughout the project)
│   ├── sync (Upstream data sources to be processed and stored in the backend)
│   └── utils (Small reusable code snippets)
├── tests (All tests for evolve)
├── .env.example (Environment variable template file)
└── .env (Environment variables used to configure evolve)

Read the full file on GitHub · 78 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 78 lines · 1,057 tokens per session scan A 50c72ce1e9dd

Subscribe to this mod's changes

altk-evolve AGENTS.md is an instructions file published in the GitHub repository AgentToolkit/altk-evolve (135 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,057 tokens to every session, about $0.0042 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

altk-evolve AGENTS.md compared with instructions from other repositories

altk-evolve AGENTS.md next to 6 instructions from other repositories
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