multiAI Summary Pending
opencontext
Persistent memory and context management for AI agents using OpenContext. Keep context across sessions/repos/dates, store conclusions, and provide document search workflows.
231 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/opencontext/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/supercent-io/opencontext/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/opencontext/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How opencontext Compares
| Feature / Agent | opencontext | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Persistent memory and context management for AI agents using OpenContext. Keep context across sessions/repos/dates, store conclusions, and provide document search workflows.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# OpenContext Context Management (Persistent Memory)
> Give your AI assistant persistent memory.
> Stop repeating explanations, and build smarter.
## When to use this skill
- When you need to keep context across sessions
- When you need to record project background/decisions
- When you need to search prior conclusions/lessons
- When you need knowledge sharing in a Multi-Agent workflow
- When you want to reduce repetitive background explanations
---
## 1. Core concepts
### Problem
When working with an AI assistant, context gets lost (across sessions, repos, and dates). You end up repeating background, re-explaining decisions, and sometimes the assistant continues with incorrect assumptions.
### Solution
**OpenContext** is a lightweight personal context/knowledge store for AI assistants.
```
[Load context] → [Do work] → [Store conclusions]
```
### Default paths
| Item | Path |
|------|------|
| **Contexts** | `~/.opencontext/contexts` |
| **Database** | `~/.opencontext/opencontext.db` |
---
## 2. Install and initialize
### Install CLI
```bash
npm install -g @aicontextlab/cli
# Or use npx
npx @aicontextlab/cli <command>
```
### Initialize (run inside the repo)
```bash
cd your-project
oc init
```
**What `oc init` does:**
- Prepare the global context store (on first run)
- Generate user-level commands/skills + mcp.json for the selected tool
- Update the repo's AGENTS.md
---
## 3. Slash Commands
### Beginner-friendly commands
| Command | Purpose |
|---------|------|
| `/opencontext-help` | When you don't know where to start |
| `/opencontext-context` | **(Recommended default)** Load background before work |
| `/opencontext-search` | Search existing documents |
| `/opencontext-create` | Create a new document/idea |
| `/opencontext-iterate` | Store conclusions and citations |
### Install locations
```
# Slash Commands
Cursor: ~/.cursor/commands
Claude Code: ~/.claude/commands
# Skills
Cursor: ~/.cursor/skills/opencontext-*/SKILL.md
Claude Code: ~/.claude/skills/opencontext-*/SKILL.md
Codex: ~/.codex/skills/opencontext-*/SKILL.md
# MCP Config
Cursor: ~/.cursor/mcp.json
Claude Code: ~/.claude/mcp.json
```
---
## 4. Core CLI commands
### Folder/document management
```bash
# List folders
oc folder ls --all
# Create folder
oc folder create project-a -d "My project"
# Create document
oc doc create project-a design.md -d "Design doc"
# List documents
oc doc ls project-a
```
### Search & manifest
```bash
# Search (keyword/hybrid/vector)
oc search "your query" --mode keyword --format json
# Generate a manifest (list of files the AI should read)
oc context manifest project-a --limit 10
```
### Search modes
| Mode | Description | Requirements |
|------|------|----------|
| `--mode keyword` | Keyword-based search | No embeddings required |
| `--mode vector` | Vector search | Embeddings + index required |
| `--mode hybrid` | Hybrid (default) | Embeddings + index required |
### Embedding configuration (for semantic search)
```bash
# Set API key
oc config set EMBEDDING_API_KEY "<<your_key>>"
# (Optional) Set base URL
oc config set EMBEDDING_API_BASE "https://api.openai.com/v1"
# (Optional) Set model
oc config set EMBEDDING_MODEL "text-embedding-3-small"
# Build index
oc index build
```
---
## 5. MCP Tools
### OpenContext MCP Tools
```bash
oc_list_folders # List folders
oc_list_docs # List documents
oc_manifest # Generate manifest
oc_search # Search documents
oc_create_doc # Create document
oc_get_link # Generate stable link
```
### Multi-Agent integration
```bash
# Gemini: large-scale analysis
ask-gemini "Analyze the structure of the entire codebase"
# Codex: run commands
shell "docker-compose up -d"
# OpenContext: store results
oc doc create project-a conclusions.md -d "Analysis conclusions"
```
---
## 6. Multi-Agent workflow integration
### Orchestration Pattern
```
[Claude] Plan
↓
[Gemini] Analysis/research + OpenContext search
↓
[Claude] Write code
↓
[Codex] Run/test
↓
[Claude] Synthesize results + store in OpenContext
```
### Practical example: API design + implementation + testing
```bash
# 1. [Claude] Design API spec using the skill
/opencontext-context # Load project background
# 2. [Gemini] Analyze a large codebase
ask-gemini "@src/ Analyze existing API patterns"
# 3. [Claude] Implement code based on the analysis
# (Use context loaded from OpenContext)
# 4. [Codex] Test and build
shell "npm test && npm run build"
# 5. [Claude] Create final report + store conclusions
/opencontext-iterate # Store decisions and lessons learned
```
---
## 7. Recommended daily workflow
### Before work (1 min)
```bash
/opencontext-context
```
- Load project background + known pitfalls
### During work
```bash
/opencontext-search
```
- Search existing conclusions when unsure
### After work (2 min)
```bash
/opencontext-iterate
```
- Record decisions, pitfalls, and next steps
### High-ROI document types
- **Acceptance Criteria** - acceptance criteria
- **Common Pitfalls** - common pitfalls
- **API Contracts** - API contracts
- **Dependency Versions** - dependency versions
---
## 8. Stable links (Stable Links)
Keep links stable across renames/moves by referencing document IDs:
```markdown
[label](oc://doc/<stable_id>)
```
### Generate a link via CLI
```bash
oc doc link <doc_path>
```
### Generate a link via MCP
```bash
oc_get_link doc_path="Product/api-spec"
```
---
## 9. Desktop App & Web UI
### Desktop App (recommended)
- Manage/search/edit context with a native UI
- Use without the CLI
- Automatic index builds (in the background)
**Citation features:**
| Action | How | Result |
|------|------|------|
| Cite text snippet | Select text → right-click → "Copy Citation" | Agent reads the snippet + source |
| Cite document | Click the citation icon next to the document title | Agent reads the full document + obtains stable_id |
| Cite folder | Right-click folder → "Copy Folder Citation" | Agent bulk-reads all docs in the folder |
### Web UI
```bash
oc ui
# Default URL: http://127.0.0.1:4321
```
---
## Quick Reference
### Essential workflow
```
Before: /opencontext-context (load background)
During: /opencontext-search (search)
After: /opencontext-iterate (store)
```
### Core CLI commands
```bash
oc init # Initialize project
oc folder ls --all # List folders
oc doc ls <folder> # List documents
oc search "query" # Search
oc doc create ... # Create document
```
### MCP Tools
```
oc_list_folders list folders
oc_list_docs list documents
oc_search search
oc_manifest manifest
oc_create_doc create document
oc_get_link generate link
```
### Paths
```
~/.opencontext/contexts context store
~/.opencontext/opencontext.db database
```
---
## References
- [OpenContext Website](https://0xranx.github.io/OpenContext/en/)
- [Usage Guide](https://0xranx.github.io/OpenContext/en/usage/)
- [Download Desktop](https://github.com/0xranx/OpenContext/releases)
- [GitHub Repository](https://github.com/0xranx/OpenContext)