ContextPool provides persistent memory for AI coding agents like Claude Code and Cursor. It solves the 'agent amnesia' problem by scanning past development sessions, extracting key engineering insights (bugs, fixes, decisions), and making them automatically available to your AI assistant via the MCP protocol, eliminating repetitive explanations.
Freemium
from $7.99/month
How to use ContextPool?
Install ContextPool with a simple curl command. Run `cxp init` for your IDE (e.g., `cxp init claude-code`). The tool automatically scans your past coding sessions, uses an LLM to extract actionable insights like bugs and design decisions, and serves them to your AI agent via MCP. Your agent then recalls this context at the start of new sessions without manual prompting.
ContextPool 's Core Features
Persistent Memory for AI Agents: Solves 'agent amnesia' by giving AI coding assistants like Claude Code and Cursor memory across sessions, so they remember past bugs, fixes, and decisions.
Automatic Insight Extraction: Scans your past IDE sessions and uses multiple LLM backends (Claude, OpenAI, NVIDIA) to automatically distill actionable engineering knowledge—bugs, fixes, decisions, and gotchas—from raw transcripts.
Zero-Config Integration for Claude Code: Works seamlessly with Claude Code using existing authentication; no API key configuration is required after installation.
MCP (Model Context Protocol) Server: Provides extracted insights to your AI agent through the standard MCP protocol, ensuring compatibility and requiring no custom integration code.
Privacy-First & Local-First Design: Raw session transcripts never leave your machine. Only extracted, redacted insights are optionally synced to the cloud for team sharing.
Built for Team Collaboration: Enables shared team memory by allowing insights to be pushed to and pulled from a shared pool, so the whole team benefits from collective debugging knowledge.
Multi-Backend LLM Routing with Fallback: Ensures reliable insight extraction by routing requests through a provider chain: Claude CLI → Anthropic API → OpenAI → NVIDIA.
ContextPool 's Use Cases
Software Developers tired of re-explaining the same project context, bugs, and architectural decisions to their AI assistant at the start of every new coding session.
Engineering Teams who want to create a shared, persistent knowledge base of bugs and solutions, so when one teammate debugs an issue, the entire team's AI agents learn from it.
Developers using AI-powered IDEs like Cursor or Claude Code who need their assistant to remember crucial technical details like 'this ESM import fails silently in tests' across work sessions.
Solo Developers or Indie Hackers who want to maximize their AI coding assistant's effectiveness by giving it a long-term memory of their project's unique quirks and patterns.
Tech Leads and Architects who make key design decisions (e.g., choosing SQLite over Postgres) and need those decisions consistently communicated and remembered by AI tools used by the team.
ContextPool 's Pricing
Local
Free forever
Full local functionality, unlimited local insights, all IDE integrations, 4 LLM backends, secret redaction, MCP server. No account needed.
Pro
$7.99/month
Team access, cloud sync, unlimited insights, unlimited projects. Includes everything in Local plan.
