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Chromadb Memory Pub

Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.

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High Signal

Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, manifest.json, scripts/index.ts, scripts/openclaw.plugin.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.2.1

Provenance

Publisher: msensintaffar
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

ChromaDB Memory

Long-term semantic memory backed by ChromaDB and local Ollama embeddings. Zero cloud dependencies.

What It Does

Auto-recall: Before every agent turn, queries ChromaDB with the user's message and injects relevant context automatically chromadb_search tool: Manual semantic search over your ChromaDB collection 100% local: Ollama (nomic-embed-text) for embeddings, ChromaDB for vector storage

Prerequisites

ChromaDB running (Docker recommended): docker run -d --name chromadb -p 8100:8000 chromadb/chroma:latest Ollama with an embedding model: ollama pull nomic-embed-text Indexed documents in ChromaDB. Use any ChromaDB-compatible indexer to populate your collection.

Install

# 1. Copy the plugin extension mkdir -p ~/.openclaw/extensions/chromadb-memory cp {baseDir}/scripts/index.ts ~/.openclaw/extensions/chromadb-memory/ cp {baseDir}/scripts/openclaw.plugin.json ~/.openclaw/extensions/chromadb-memory/ # 2. Add to your OpenClaw config (~/.openclaw/openclaw.json): { "plugins": { "entries": { "chromadb-memory": { "enabled": true, "config": { "chromaUrl": "http://localhost:8100", "collectionName": "longterm_memory", "ollamaUrl": "http://localhost:11434", "embeddingModel": "nomic-embed-text", "autoRecall": true, "autoRecallResults": 3, "minScore": 0.5 } } } } } # 4. Restart the gateway openclaw gateway restart

Config Options

OptionDefaultDescriptionchromaUrlhttp://localhost:8100ChromaDB server URLcollectionNamelongterm_memoryCollection name (auto-resolves UUID, survives reindexing)collectionId—Collection UUID (optional fallback)ollamaUrlhttp://localhost:11434Ollama API URLembeddingModelnomic-embed-textOllama embedding modelautoRecalltrueAuto-inject relevant memories each turnautoRecallResults3Max auto-recall results per turnminScore0.5Minimum similarity score (0-1)

How It Works

You send a message Plugin embeds your message via Ollama (nomic-embed-text, 768 dimensions) Queries ChromaDB for nearest neighbors Results above minScore are injected into the agent's context as <chromadb-memories> Agent responds with relevant long-term context available

Token Cost

Auto-recall adds ~275 tokens per turn worst case (3 results × ~300 chars + wrapper). Against a 200K+ context window, this is negligible.

Tuning

Too noisy? Raise minScore to 0.6 or 0.7 Missing context? Lower minScore to 0.4, increase autoRecallResults to 5 Want manual only? Set autoRecall: false, use chromadb_search tool

Architecture

User Message → Ollama (embed) → ChromaDB (query) → Context Injection ↓ Agent Response No OpenAI. No cloud. Your memories stay on your hardware.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs2 Config1 Scripts

SKILL.md Primary doc
README.md Docs
scripts/index.ts Scripts
manifest.json Config
scripts/openclaw.plugin.json Config