[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fgv1lgsj3rz42":3},{"code":4,"message":5,"data":6,"timestamp":58},10000,"success",{"full_name":7,"position":8,"description":9,"language":10,"stars":11,"forks":12,"stars_gained":13,"age_days":14,"hn_threads":15,"one_liner":26,"summary_md":27,"topic":28,"github_topics":31,"license":52,"homepage":53,"updated_at":54,"history":55},"thedotmack\u002Fclaude-mem",5,"Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More","TypeScript",102762,9078,274,418,[16,22],{"id":17,"title":18,"points":19,"comments":20,"posted_at":21},47558167,"Claude-Mem",2,1,"2026-03-28",{"id":23,"title":18,"points":20,"comments":24,"posted_at":25},46229436,0,"2025-12-11","Gives coding agents durable memory across sessions so they stop re-learning your codebase every time you restart.","## The problem\n\nEvery new agent session starts blank. You re-explain the architecture, the bug you already diagnosed, and the convention you settled on yesterday, and the agent re-reads the same files to rediscover what you both already knew. Context windows help within a session but not across them. Claude-Mem addresses this by capturing what the agent does during a session, compressing it into observations, and injecting relevant pieces into later sessions.\n\n## What's different\n\nHosts usually offer a single long context or a project-level instruction file, which is manual, static and quickly stale. Broader agent frameworks expect you to build your own memory layer, and generic memory services (Chroma\u002FSQLite-backed stores, hosted memory APIs) are not wired into a coding agent's lifecycle. Claude-Mem sits as a plugin\u002Fworker that hooks into several agents, does progressive, tiered retrieval so you can see the token cost of each layer, and indexes locally with SQLite plus embeddings. That hook-level integration plus the token-cost transparency is the real differentiator; the extraction itself is an LLM summarisation pipeline whose quality is the whole product.\n\n## Who it's for\n\nDevelopers working on the same repository across many sessions over weeks, especially with Claude Code or a compatible agent (the README lists OpenCode, Codex, Gemini, Copilot, Grok Bot and others), and teams that want a shared workspace on top of individual memory. Skip it if you use a one-off chat, work in an environment with strict data-egress rules, or already have a memory setup you trust — an auto-injected memory layer is one more thing that can go wrong silently.\n\n## Cost of adoption\n\nNode 20 or later; a worker service must run. The default installer pushes you toward a hosted account with a 30-day free trial before falling back to your own Anthropic plan, or your own OpenRouter\u002FGemini key — the free-tier framing and the long list of integrations are the parts to read carefully. Local-only modes exist but are opt-in, and the Grok Bot path reads chat logs from disk. Apache-2.0, TypeScript, fast-moving (version 15 in under a year and a half). Expect breakage on upgrades and an occasional mismatch between what memory recalls and what the code actually says.\n\n## Verdict\n\nThe idea is correct and overdue: the bottleneck in agentic coding is continuity, not raw model ability. Interest is hard to call established versus spiking: 102,726 stars but only one day on the daily board (+274), with +8,445 in the month, so most of the total arrived in a burst rather than steady growth. That pattern is typical of a project that hit a zeitgeist moment quickly. The codebase is clearly active, but auto-injected memory alters every prompt behind your back, so trial it on a scratch repository first and inspect what it recalls before trusting it on production work.",{"slug":29,"name":30},"developer-tools","Developer Tools",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"ai","ai-agents","ai-memory","anthropic","artificial-intelligence","chromadb","claude","claude-agent-sdk","claude-agents","claude-code","claude-code-plugin","claude-skills","embeddings","long-term-memory","mem0","memory-engine","openmemory","rag","sqlite","supermemory","Apache-2.0","https:\u002F\u002Fclaude-mem.ai","2026-10-24T15:06:04Z",[56],{"date":57,"stars":11,"stars_gained":13},"2026-10-24",1792867556]