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Afterpaths MCP

  • 2 repo stars
  • Updated April 27, 2026
  • burnssa/afterpaths

Afterpaths is a MCP server that lets coding agents search past sessions, extract rules, and track what worked across work.

About

Afterpaths is an MCP server that turns prior AI coding sessions into durable, queryable memory for agents. developers install it through uvx and the afterpaths[mcp] extra, then use search and rules tooling without mandatory cloud LLM keys; summarization and rule extraction optionally use Anthropic or OpenAI when you want automated distillation. It spans the journey because every phase involves agent sessions—Ideas researched yesterday, bugs fixed last week, and launch checklist negotiations all become retrievable instead of buried in chat logs. Canonical placement on Operate/iterate reflects compounding learning across shipping cycles. It complements git history by capturing intent, failures, and adopted conventions. It is not a team-wide knowledge base with ACLs out of the box; it is personal session memory for developers living inside Claude Code-style workflows.

  • PyPI afterpaths 0.2.5 via uvx runtime hint; positional entry afterpaths-mcp with --from afterpaths[mcp]
  • Search, list, show, and rules tools work without LLM API keys
  • Optional ANTHROPIC_API_KEY or OPENAI_API_KEY for session summarization and rule extraction
  • Session memory focused on what worked across AI coding agent runs
  • Branded Afterpaths / Superjective asset in registry metadata

Afterpaths MCP by the numbers

  • Data as of Aug 10, 2026 (Skillselion catalog sync)
terminal
claude mcp add --env ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY --env OPENAI_API_KEY=YOUR_OPENAI_API_KEY afterpaths -- uvx afterpaths afterpaths-mcp

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Last updatedApril 27, 2026
Repositoryburnssa/afterpaths

What it does

Give your coding agent searchable memory over past sessions, extracted rules, and what worked so you stop re-discovering the same fixes every sprint.

Who is it for?

Heavy Claude Code or Cursor users who run long iteration loops and want personal session memory without building a custom notes stack.

Skip if: Skip if you need centralized wiki governance, HR-safe chat retention, or memory with zero local/Python tooling.

What you get

After uvx install and MCP registration, your agent can search prior sessions and reuse extracted rules; optional API keys unlock summarization and rule mining.

  • Searchable index of past coding agent sessions
  • Persisted rules extracted or curated from prior work
  • Trace of approaches that worked for faster iterate loops

By the numbers

  • Package version 0.2.5
  • 2 optional LLM API env vars: ANTHROPIC_API_KEY, OPENAI_API_KEY
  • Core tools usable with 0 required secrets for search/list/show/rules per package docs
README.md

Afterpaths

Smarter with every session, automatically.

Extract rules from what worked. Track what didn't. Find the best models for your stack.

You're running Claude Code, Cursor and Codex, but which model actually works best for your stack? What approaches lead to breakthroughs vs. expensive dead ends? How do you stop your agents from making the same mistakes?

Afterpaths gives you a single view across all your AI coding tools: compare what's working, capture discoveries as rules, and guide your agent team away from costly diversions.

Afterpaths Demo

What you're seeing:

  1. ap audit — Overview of your sessions, models used, and rule status
  2. ap show 5 --raw — Raw session transcript (the messy JSONL data, made readable)
  3. ap show 5 — LLM-generated summary extracting discoveries, dead ends, and decisions
  4. head .claude/rules/gotchas.md — Rules automatically extracted and ready for Claude's next session

The Problem

You're managing multiple agents - retaining critical context and learning from sessions is painful:

  • Repeated mistakes — Your agents hit the same gotchas. Three weeks later, same dead end, same wasted tokens.
  • No cross-tool visibility — Is Opus actually better than Sonnet for your codebase? Is Cursor outperforming Claude Code? You're guessing.
  • Rules are tedious — After a costly diversion, the last thing you want is to write a CLAUDE.md rule. So you don't. And the knowledge evaporates.
  • Sessions vanish — Session content is obscurely logged and hard to extract. Then it's often auto-deleted after 30 days. That breakthrough architecture decision? Context gone.

Afterpaths captures sessions across tools, surfaces what's working, and generates rules automatically—so your agents learn from every session, and you retain all your rich session context.

How It Works

Your Sessions                      Afterpaths
───────────────                    ────────────────────────────────────

Claude Code  ──► ap log      ──► Browse sessions across IDEs
Cursor           ap stats    ──► Analytics: tokens, activity, errors
Codex            ap summarize──► Session summaries (what happened)
                 ap rules    ──► Rule files (what to remember)
                 ap search   ──► Find past discussions & discoveries
                                    │
                                    ▼
                           .claude/rules/ · .cursor/rules/
                                    │
                                    ▼
                           Your next session is smarter

Quick Start

pip install afterpaths

# Navigate to your project (rules are project-specific)
cd ~/code/your-project

# Run audit to see what you have
ap audit

The audit shows your sessions across all tools, model performance, and whether you have rules set up. No API key needed.

From there, the recommended flow:

# 1. Browse sessions and find significant work
ap log

# 2. Summarize important sessions (requires API key)
export ANTHROPIC_API_KEY="sk-ant-..."
ap summarize 1

# 3. Extract rules from summaries → .claude/rules/
ap rules

# 4. Search across past sessions
ap search "database schema"
ap search "auth" --deep    # also search raw transcripts

# 5. Track ongoing performance
ap stats
ap stats --daily

Tip: ap is the short alias for afterpaths. Both work identically.

All commands support --json for structured output (e.g., ap log --json, ap show 1 --json, ap search "query" --json).

See docs/commands.md for the full command reference and recipes.

From Session to Rules

Real example: A bug causing 76 missing sessions became a rule that prevents the same mistake.

While building afterpaths, sessions for a project weren't showing up. The path (let's call it) /Users/Code/foo_bar was being decoded as /Users/Code/foo/bar. After investigation, we discovered Claude Code uses lossy path encoding—both / and _ become -.

The summary captured the discovery:

## Discoveries

- **Claude Code's path encoding is lossy**: Project paths in `~/.claude/projects/`
  are encoded by replacing `/` with `-`, but underscores are ALSO converted to
  hyphens. Three different paths encode identically:
  - `/Users/Code/foo_bar` → `-Users-Code-foo-bar`
  - `/Users/Code/foo-bar` → `-Users-Code-foo-bar`
  - `/Users/Code/foo/bar` → `-Users-Code-foo-bar`

ap rules extracted it into .claude/rules/gotchas.md:

- **Claude Code lossy path encoding**: Claude Code encodes project paths by
  replacing both `/` and `_` with `-`, making them indistinguishable when
  decoding. When decoding, try underscore variants alongside hyphen variants
  at each greedy step, preferring longer segments (single directories) over
  nested paths.
  _Source: 91b1ffbc_

Next time Claude works on path decoding in this codebase, it already knows about the lossy encoding—no need to rediscover it.

Why Afterpaths

Without With Afterpaths
Discover gotcha, forget to document it ap summarize captures it with full context
Hit the same issue 3 weeks later Rule in .claude/rules/ prevents it
No idea what's working ap stats shows tokens, sessions, error rates
Sessions scattered across IDEs ap log unified view across Claude + Cursor
Learnings siloed per tool Rules sync to .claude/rules/ and .cursor/rules/

What Gets Extracted

Category What it captures Example
Dead Ends Approaches that failed "Don't use X because Y"
Decisions Architectural choices "We chose Redis over Postgres because..."
Gotchas Non-obvious warnings "Watch out for X when doing Y"
Patterns Techniques that worked "For X, use pattern Y"

Each rule includes source session references so you can trace back to the original context.

Supported Tools

Tool Status Location
Claude Code ✅ Ready ~/.claude/projects/*.jsonl
Cursor ⚠️ Partial ~/Library/Application Support/Cursor/User/workspaceStorage/
Codex CLI ✅ Ready ~/.codex/

Known Limitations

Cursor sessions: the adapter reads several known chat/composer formats from state.vscdb (including workbench.panel.aichat.view.aichat.chatdata, composer.composerData, and allComposers), but Cursor changes its storage schema often and some sessions will return Entries: 0 even when the state.vscdb file is present. When this happens, ap show <ref> --raw and the afterpaths_show_session MCP tool emit a warning rather than silently returning empty. The raw file is untouched — if you need that session, opening state.vscdb directly with sqlite3 will still work.

Tool provenance features (ap show --artifacts, commit tracing, file activity) only cover sessions whose entries the adapter can read.

MCP Server

Afterpaths includes an MCP server that puts session history directly into your agent's tool list. Instead of relying on agents to discover the CLI, the MCP server makes session search, summaries, and rules available as native tools.

# Install with MCP support
pip install afterpaths[mcp]

# Add to Claude Code
claude mcp add afterpaths -- afterpaths-mcp

# Or run directly
python -m afterpaths.mcp_server

Tools exposed:

Tool Description
afterpaths_list_sessions List recent sessions for context recovery
afterpaths_show_session Read session summaries and transcripts
afterpaths_show_artifacts Show artifacts ledger: files written/edited with provenance
afterpaths_summarize Generate summaries for sessions
afterpaths_search Search across past sessions (auto-escalates to transcripts on 0 summary hits)
afterpaths_get_rules Get extracted rules (dead ends, decisions, etc.)

Once configured, agents can ask "have we seen this before?" or "what were the dead ends?" and get answers from your session history.

Privacy

  • All local — Summaries and rules stay in your project
  • Your API key — Uses your Anthropic/OpenAI key
  • Read-only — Never modifies your source code
  • Gitignored.afterpaths/ excluded by default

Storage

your-project/
├── .afterpaths/           # Summaries (gitignored)
│   ├── summaries/
│   └── meta.json
├── .claude/
│   └── rules/             # Generated rules (commit these!)
│       ├── dead-ends.md
│       ├── gotchas.md
│       └── patterns.md
└── src/

Hand-edited notes in rule files

Each rule file is split into a manual section (preserved across ap rules runs) and an auto section (regenerated each run):

# Gotchas: Things to Watch For

<!-- afterpaths:manual:start -->
_Add project-specific notes here — preserved across `ap rules` runs._
<!-- afterpaths:manual:end -->

<!-- afterpaths:auto:start -->
> Auto-generated by `afterpaths distill` | Updated: 2026-04-21 12:00
> Sources: 3 session(s)

## Rules

- **Some extracted rule**: ...
  _Source: abc12345_
<!-- afterpaths:auto:end -->

Put hand-curated rules or project-specific reminders between the manual:start / manual:end markers — they'll survive every ap rules run. Content outside those markers (and outside the recognized boilerplate) blocks the run as a safety check. Pass --force to overwrite anyway, or wrap the content in manual markers to preserve it.

If you're upgrading from an earlier version and your rule files contain only auto-generated content, markers are inserted automatically on the next ap rules run with an empty manual section — no action required.

Roadmap

  • Claude Code session parsing
  • Cursor session support
  • Session analytics (tokens, errors, daily trends)
  • LLM summarization
  • Automatic rule extraction
  • Multi-target export (Claude, Cursor)
  • Codex CLI support
  • Cross-session search (ap search)
  • JSON output (--json flag)
  • MCP server for agent integration
  • Semantic search across sessions
  • Benchmarking and productivity insights

License

MIT


Manage your AI coding agents. Learn what works. Stop repeating mistakes.

Recommended MCP Servers

How it compares

Session-memory MCP for coding agents, not a generic vector database or Git-only audit trail.

FAQ

Who is afterpaths for?

Developers using AI coding agents who want to search old sessions, persist rules, and remember effective fixes across projects.

When should I use afterpaths?

Use it whenever you restart agent work—debugging, refactors, launches—and need prior context; summarization features when you set Anthropic or OpenAI keys.

How do I add afterpaths to my agent?

Run via uvx with --from afterpaths[mcp] and positional afterpaths-mcp in MCP config; add ANTHROPIC_API_KEY or OPENAI_API_KEY only if you want summarization and rule extraction.

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