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🌟 Timeliner - AI's diary. MCP for tracking AI agent work with markdown log

Reason this release was yanked:

superseed

Project description

Timeliner

Auto-documenting memory layer for AI coding agents. Timeliner logs your AI development sessions as timestamped markdown files, giving AI agents perfect recall of past decisions, implementations, and context.

Feature Highlights

  • Zero-friction logging - AI agents auto-save work via /save command
  • Markdown storage - Human-readable logs with YAML frontmatter
  • MCP integration - Works with Claude Code, Cline, and other MCP-enabled tools
  • Timestamp-based IDs - Precise microsecond task IDs for reliable tracking
  • Rich context - Capture outcomes, tags, metadata (PRs, commits, issues)

Use Cases

Software Development:

  • Document decisions and rationale during coding sessions
  • Track refactoring steps
  • Log feature implementation progress

Research & Learning:

  • Maintain experiment logs with results and insights
  • Build a learning journal of concepts explored
  • Track hypothesis evolution in technical investigations

Installation

Automatic Setup (Claude)

  • Run the installer command in your project root:
uvx --from tliner@latest tliner-install
  • Automatically configures .mcp.json and creates /save command in .claude/commands/
  • Documents wil be stored in docs/timeline/ by default.
  • To specify a different storage folder, use uvx --from tliner@latest tliner-install --work-folder <PATH_TO_STORE_DOCS>.

Manual Setup

Add to .mcp.json:

{
  "mcpServers": {
    "timeliner": {
      "type": "stdio",
      "command": "uvx",
      "args": ["tliner@latest", "serve"],
      "env": {"TIMELINER_WORK_FOLDER": "${PWD}/docs/timeline"}
    }
  }
}

Create .claude/commands/save.md:

---
description: "Save findings/outcomes into a Timeline"
---
# Save Command
Execute the save operation according to the next rules.
## Flow
1.  **Generate Content**:
    *   Generate the outcomes for the current step following the "Content Structure" and "Rules".
2.  **Save to Timeliner**:
    *   Call `mcp__timeliner__save_step` with the following parameters:
        *   `task_id`: Use the memorized `task_id` if you have one. If this is the first time saving for this task, send an **empty string** (`""`). The system will create a new task and return the new `task_id`.
        *   `title`: Up to 5 words which represent essence of the step.
        *   `outcomes`: The exact content that you just generated.
    *   **VERY IMPORTANT**: If a new `task_id` is returned, you MUST memorize it for all future `save_step` calls for this task.
    
## Content Structure

1. **Summary**: Describe current step summary and general flow of investigation.
2. **Facts**: Main goal is describing outcomes as facts with GREAT details (not only summary).
3. **User Input**: Note ALL user's input and direction they want to go.
4. **Resources**: Note ALL resources used (files, links, tools, commands, etc) with direct links (full path/URL/command).

## Rules
1. **Avoids**: NO hypothesis, NO assumptions, NO speculations, NO generalizations. Facts ONLY.
2. **Evidence**: Including evidences for statements is mandatory:
    - Link to source files with line numbers: `[cmd line flags](../src/go/flags.go#L94)`
    - Links to external resources: `[config docs](https://example.com/docs/setup.html)`
3. **Structure**: 
    - All main sections within the `outcomes` (e.g., Summary, Facts, User Input) MUST start with a level 2 heading (`##`). Do NOT use level 1 headings.
    - Fit all outcomes in ONE chapter, don't split into several chapters.
    - Use sub-sections inside the `Facts` chapter only. Every fact must be the level 3 heading (`###`). 
    - Do not use level 4 and higher headings. Use multi-level numerated/bullet lists instead ("outliner" style). 

Quick Start

Using the /save Command

  1. Run /save in your Agent Tool, when you feel you have made significant progress or decisions.
  2. File will be created/updated in your configured TIMELINER_WORK_FOLDER (docs/timeline/ by default).

CLI Commands

For manual inspection and debugging:

# List all tasks
TIMELINER_WORK_FOLDER="${PWD}/docs/timeline" uvx tliner@latest task-list

# Show all steps for a task
TIMELINER_WORK_FOLDER="${PWD}/docs/timeline" uvx tliner@latest task-show <task_id>

# Run MCP server manually
TIMELINER_WORK_FOLDER="${PWD}/docs/timeline" uvx tliner@latest serve

Data Structure

  • Location: specified in TIMELINER_WORK_FOLDER env var
  • Filename: YYYY_MM_DD-HHMMSS-kebab-case-title.md
  • Format: Markdown with YAML frontmatter

Configuration

Environment Variables

  • TIMELINER_WORK_FOLDER: Storage directory (default: work/docs)

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