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.
curl -O https://raw.githubusercontent.com/AgentToolkit/altk-evolve/main/AGENTS.mdgit clone --depth 1 https://github.com/AgentToolkit/altk-evolveWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/agenttoolkit/altk-evolve/agents-md)<a href="https://agentmods.dev/instructions/agenttoolkit/altk-evolve/agents-md"><img src="https://agentmods.dev/badge/instructions/agenttoolkit/altk-evolve/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/agenttoolkit/altk-evolve/agents-md"><img src="https://agentmods.dev/badge/instructions/agenttoolkit/altk-evolve/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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
- Agent completes some task, and the resulting trajectory is automatically saved into a logging framework such as Langfuse or Arize Phoenix.
- 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.
- Generated guidelines are stored as entities with conflict resolution applied.
- 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)
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.
- 2mo ago First seen · 78 lines · 1,057 tokens per session scan A 50c72ce1e9dd
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.
altk-evolve AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| altk-evolve AGENTS.mdAgentToolkit/altk-evolve | Instructions file | 135 | 2d ago | Apache-2.0 | A | 1,057 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |