Afterpaths captures and analyzes sessions across multiple AI coding tools to improve agent performance and prevent repeated mistakes.
From the registry: Session memory for AI coding agents. Search past sessions, extract rules, and track what works.

$ pip install 'afterpaths[mcp]'https://pypi.org/project/afterpaths/Please install the `afterpaths` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install afterpaths with MCP extra** — Install the Python package with MCP support Run: `pip install 'afterpaths[mcp]'` (https://pypi.org/project/afterpaths/)
Canonical MCP server config (stdio transport):
- command: `afterpaths-mcp`
- args: []
- optional environment variables:
- `ANTHROPIC_API_KEY`: Anthropic key for ap summarize/rules (needed for LLM-backed tools) (example: `<your-anthropic-api-key>`)
Note: Alternatively: python -m afterpaths.mcp_server
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.ANTHROPIC_API_KEYrequiredUsed for summarizing sessionsAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.