Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/teddyjubu-mem0-memory
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/mem0-memory
What's inside
- Skill name
mem0-memory- Description
- Semantic long-term memory via Mem0 for WhatsApp contacts.
- License
- MIT
- Instructions
- 43 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Mem0 memory
Memory is **mandatory**, not optional. Use Mem0 plus SQLite contact facts every turn.
## Every inbound turn
1. **Recall** — `search_mem0_memories(query=…, user_id=…)` and `recall_contact_memory(contact=…)`.
2. **Answer** — use recalled facts naturally; do not claim you forgot without searching first.
3. **Persist** — before your final reply, `add_mem0_memory` and/or `remember_contact_fact` for
anything important in this message or your commitments.
## What to save
- Preferences, names, roles, timezone, language
- Deadlines, reminders-in-text, ongoing projects
- Business context (company, goals, constraints)
- Corrections ("call me X", "I prefer Y")
- Standing instructions ("always…", "never…", "remember that…")
## What not to save
- Passwords, OTPs, API keys, payment card numbers
- Sensitive clinical patient data
- One-off tool output unless the user asks to keep it
## user_id
- DM: sender JID
- Group: **chat** JID (`@g.us`), not only the participant
## Tools
| Tool | Use |
|------|-----|
| `search_mem0_memories` | Semantic recall before answering |
| `add_mem0_memory` | Explicit durable facts (preferred for "remember this") |
| `remember_contact_fact` | Structured key/value (e.g. `timezone`, `company`) |
| `recall_contact_memory` | Read SQLite facts |
| `mem0_status` | Debugging |
Auto-capture may run when Mem0 is enabled — still call `add_mem0_memory` for facts you must not lose.From TeddyJubu/wabot-agent, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 14
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/TeddyJubu/wabot-agent
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
mem0-memory skill. Agent Mart. https://agentmart.dev/skills/teddyjubu-mem0-memory (last updated 2026-10-24)