# 🧠 Give your AI a memory that never forgets — free & open source

**URL:** <https://onehack.st/t/give-your-ai-a-memory-that-never-forgets-free-open-source/327222>\
**Category:** Tools & Scripts\
**Tags:** tools, ai, memory\
**Created:** [November 13, 2026, 7:21pm UTC](https://onehack.st/t/give-your-ai-a-memory-that-never-forgets-free-open-source/327222 "2026-11-13T19:21:02Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![TheStrength](https://onehack.st/user_avatar/onehack.st/thestrength/32/46753_2.png) [@TheStrength](https://onehack.st/u/TheStrength)\
**Post date:** [November 13, 2026, 7:21pm UTC](https://onehack.st/t/give-your-ai-a-memory-that-never-forgets-free-open-source/327222/1 "2026-11-13T19:21:02Z")

</div>

### 🫙 Your AI keeps forgetting you — brew its memory instead

TencentDB Agent Memory: a free memory hub that distills every chat, doc and codebase into reusable memory your AI loads forever after · open source, 30.8K ⭐

 ![brew your ai's memory](https://onehack.st/uploads/default/original/3X/e/0/e024df81b5ef883aa224be620c9d133ada83144a.png)

introduce yourself once. set the rules once. your AI remembers — next week, next project, next agent

🧠 the repo, front and center → [github.com/TencentCloud/TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory)

setup in one breath: clone → one .env file → ./start-all.sh → paste the one-liner into your AI · full guide: [docs](https://tencentcloud.github.io/TencentDB-Agent-Memory/)

🫙 jar 1 · 💬 chat memory

- 🗣 your preferences, facts and decisions survive between sessions — “I always want short answers” is said **once**
- 🔐 each agent only sees the memories you allow it to see

🫙 jar 2 · ⚡ skills

- 🧪 when your AI finishes something tricky, the working recipe gets bottled — with versions and trigger rules, not just a prompt paste
- ♻ any other agent can pick up that skill on day one instead of rediscovering it

🫙 jar 3 · 📖 LLM-wiki

- 📚 your documents turn into a wiki every agent can consult — no more re-reading the PDF from page one every session

🫙 jar 4 · 🕸 code-graph

- 🗺 your codebase becomes a map — “don’t refactor the auth module, mobile still uses it” is remembered **forever** , not re-explained weekly

🍵 how the brewing works

- 🍂 raw chats are distilled layer by layer: **L0 conversation → L1 atoms (facts) → L2 scenarios (recipes) → L3 persona (who you are)**
- 💾 the result is a human-readable **save file** — a brand-new agent loads your whole history in one call
- 🔌 hookup is one URL swap: Claude Code, Codex, DeepSeek Harness, OpenClaw, OpenCode — no plugins needed · your control panel: `localhost:8125`

🌸 the memory garden — pick your flavor, all free

- 🗣 **[Mem0](https://github.com/mem0ai/mem0)** (68.9K ⭐) — the simplest add-and-remember layer · tested at 92.5% recall with ~7K tokens instead of 25K
- 🕰 **[Graphiti](https://github.com/getzep/graphiti)** (32.8K ⭐) — time-travel memory: facts keep “was true then / true now” windows · game NPCs finally hold grudges properly
- 🌿 **[Cognee](https://github.com/topoteretes/cognee)** (33.2K ⭐) — docs + code + chats woven into one knowledge graph
- 🪞 **[Basic Memory](https://github.com/basicmachines-co/basic-memory)** (4.6K ⭐) — memory as plain Markdown **you can read, edit and back up yourself** — the no-black-box pick
- 🤖 **[Letta / MemGPT](https://github.com/letta-ai/letta)** (25.4K ⭐) — the agent that manages its own brain, rewriting its memory and skills
- 📓 **[PMB](https://github.com/oleksiijko/pmb)** — a tiny SQLite memory for coding agents, no LLM needed to read it

▸ one minimized window (click to open)

- 📊 **the receipts** — long-session tests report −61% tokens on WideSearch, SWE-bench success 58→64%, PersonaMem 48→76% (vendor-published; an issue caught a math typo and it was fixed in public — that’s how open source should behave)
- 🧊 **the “vector-DB killer” defused** — it kills the _mandatory separate vector-DB service_ (SQLite + keyword search by default, optional embeddings) — it doesn’t ban vectors, it de-gatekeeps them
- 🏠 **privacy, honestly** — “local-first” means the memory stays home, but extraction still talks to whatever model you point it at — use Ollama for a fully-local loop
- 🎮 **fun use** — agents sharing a family brain: appliance manuals, allergies, school calendars — with private vs family visibility controls

▸ the fine print, two lines

🧰 setup = Docker + two model configs — one brain for extracting memories, one for serving your agent (a cheap one for memory, a strong one for work)

🔐 never pour secrets — banking, passwords and private messages don’t belong in any AI’s memory jar

Your AI always had the brains. Now it finally keeps them.