ai-history: Instructions file for Codex

AGENTS.md

ai-history AGENTS.md is an instructions file for Codex, OpenCode from jiantao88/ai-history. It costs 917 tokens per session, scanned A, original, MIT.

Project instructions for ai-history, a Rust command-line program that searches and exports chat records from Claude Code, Codex CLI, and Cursor. It can output those records as Markdown, JSON, prompts, or summaries.

In plain words
What is it for?
Use it when developing or maintaining ai-history, including building, testing, searching chat history, and generating session summaries.
Why use it?
It gives coding agents the project’s structure, development commands, and important design decisions so they can work consistently in the codebase.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: reads ~/.codex or $CODEX_HOME, but also the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is jiantao88/ai-history's own configuration. It tells Codex and OpenCode how to work on ai-history 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 ai-history configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jiantao88/ai-history. 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/jiantao88/ai-history/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/jiantao88/ai-history

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 917 This file is loaded in full into every session.
When invoked 917 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 $0.00917 $0.00917
Opus 5 $0.00458 $0.00458
Sonnet 5 $0.00183 $0.00183
Haiku 4.5 $0.00092 $0.00092

Measured 9d ago against content hash c9307a274af1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-history 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 9d 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 · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project Overview

ai-history is a standalone Rust CLI tool that searches and exports AI coding assistant chat history. It reads conversation data from Claude Code, Codex CLI, and Cursor, outputting in Markdown, JSON, Prompt, or Digest format.

Designed to be used inside other AI tool sessions to inject historical context.

Development Commands

cargo build            # Debug build
cargo test             # Run unit tests
cargo build --release  # Release build (LTO + strip)
cargo run -- list      # Test with real data
cargo run -- digest <session-id>  # Test digest

Architecture

src/
  main.rs              # CLI dispatch (clap)
  cli.rs               # Clap derive subcommand definitions
  model.rs             # Provider-agnostic types: Project, Session, Message, SearchResult
  parse.rs             # JSONL parsing: mmap + simd-json + memchr line splitting
  scoring.rs           # BM25 relevance scoring + tokenizer
  search.rs            # Cross-provider search delegation
  digest/
    mod.rs             # SessionDigest struct, format_digest(), get_or_create_digest()
    extractor.rs       # Rule-based extraction engine (intent, decisions, code changes, issues)
    cache.rs           # Disk cache with mtime+size invalidation
    llm.rs             # Optional Codex API enhancement (--llm flag)
  provider/
    mod.rs             # Provider trait + ProviderRegistry
    claude.rs          # Claude Code: ~/.claude/projects/ JSONL parser
    codex.rs           # Codex CLI: ~/.codex/sessions/ rollout JSONL parser
    cursor.rs          # Cursor: workspaceStorage vscdb SQLite parser
  output/
    mod.rs             # TTY detection
    human.rs           # Colored terminal output (tables, conversation view)
    json.rs            # JSON serialization
    markdown.rs        # Markdown export
    prompt.rs          # Clean User:/Assistant: prompt format

Key Design Decisions

  • Provider trait: provider/mod.rs defines the Provider trait. Each provider implements scan/list/load/search independently.
  • Flat Message model: Message.text is pre-flattened from content blocks. Unlike the reference project (Codex-history-viewer) which preserves raw JSON for frontend rendering, this CLI only needs text.
  • Path decoding: Claude Code encodes project paths with hyphens (-Users-jack-myapp). Decoded via filesystem-based recursive lookup in claude.rs::decode_path_with_prefix().
  • Codex CLI deduplication: Codex rollout JSONL can duplicate user/assistant messages in both response_item and event_msg. Only response_item is used for user/assistant messages.
  • Cursor vscdb: Cursor stores chat history in SQLite (state.vscdb) rather than JSONL. Uses rusqlite to query cursorDiskKV table, JSON-parses bubble arrays from workspace storage.
  • Pipe detection: std::io::IsTerminal — TTY gets colored output, pipe gets JSON.
  • Session Digest: Rule-based extraction (zero-cost, offline) compresses sessions to ~5% of original size. Extracts intent from first user message, decisions from thinking blocks, code changes from tool calls, issues from error patterns. Optional --llm flag enhances via Anthropic API. Cached to disk with mtime+size invalidation.
  • Context defaults to digest: context <id> outputs digest, --full restores original full-text behavior. Saves 10-20x tokens while preserving key information.

Read the full file on GitHub · 70 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. 9d ago First seen · 70 lines · 917 tokens per session scan A c9307a274af1

Subscribe to this mod's changes

ai-history AGENTS.md is an instructions file published in the GitHub repository jiantao88/ai-history (3 stars, last pushed 2mo ago), licensed MIT. It adds 917 tokens to every session, about $0.0046 per session on Opus 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 2026-08-31.

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