
ContextPool
Persistent memory for AI coding agents
ContextPool launched on April 13, 2026 with 180 votes, #160 of 21,248 launches that month and more than 99% of that year's launches.
What it does
Every AI coding session starts from scratch. You re-debug the same bugs, re-explain decisions you already made. Your agent forgets everything. ContextPool gives your agent persistent memory. It scans your past Cursor and Claude Code sessions, extracts engineering insights (bugs, fixes, design decisions, gotchas), and loads relevant context via MCP at session start. No prompting needed. Works with Claude code, Cursor, Windsurf, and Kiro. Free and open source - team sync available for $7.99/mo.
Your AI agent forgets everything between sessions. ContextPool fixes that. Extracts engineering insights from past sessions and feeds them back automatically.
Every new session starts from scratch. You re-debug the same bugs, re-explain decisions you already made. ContextPool gives your agent persistent memory across sessions. One curl command. Single static binary. No runtime dependencies. Runs on macOS, Linux, and Windows. cxp scans your past Cursor and Claude Code sessions and extracts engineering insights using an LLM. Your agent automatically loads relevant past context via MCP at session start. No prompting needed. Not conversation summaries. Actionable engineering knowledge distilled from your sessions. No API key needed. CXP uses your existing Claude Code authentication automatically. Just install and init. ContextPool keeps memory…from contextpool.io
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Context GatewayMar 2026 · github.com · ▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
- RGRecall: Give Claude memory with Redis-backed persistent context2025 · npmjs.com · ▲171
Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…
AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents

Second Brain for AIMay 2026 · github.com · ▲286Persistent memory for Claude, ChatGPT & Cursor. Free.
Stop Claude Code from forgetting everythingDec 2025 · github.com · ▲202I got tired of Claude Code forgetting all my context every time I open a new session: set-up decisions, how I like my margins, decision history. etc. We built a shared memory layer you can drop in as a Claude Code Skill. It’s basically a tiny memory DB with recall that remembers your sessions. Not magic. Not AGI. Just state. Install in Claude Code: /plugin marketplace add https://github.com/mutable-state-inc/ensue-skill /plugin install ensue-memory # restart Claude Code What it does: (1) persists context between sessions (2) semantic & temportal search (not just…
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