🌟 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
/savecommand - 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 tliner-install
- Automatically configures
.mcp.jsonand creates/savecommand in.claude/commands/ - Documents wil be stored in
docs/timeline/by default. - To specify a different storage folder, use
uvx --from tliner 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
- Run
/savein your Agent Tool, when you feel you have made significant progress or decisions. - 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_FOLDERenv 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)
Project details
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