About
What is ContextForge?
ContextForge is a sophisticated platform designed to give AI coding agents persistent memory, significantly enhancing AI interactions by allowing users to import and manage their AI's conversational history and knowledge from diverse sources. It supports importing from Claude Code (MEMORY.md), ChatGPT exports (conversations.json), and MCP Knowledge Graph (.jsonl), consolidating scattered AI memory into a searchable knowledge base. This capability is invaluable for developers and teams who require their AI assistants to maintain a deep, evolving understanding of past discussions and learned information across sessions and tools. ContextForge uses semantic search to understand meaning, not just keywords, and offers features like Git integration, team collaboration, and export options, ensuring AI assistants always have the most relevant context.
Best used for
Ideal for developers and teams who need to consolidate AI memory from various tools, ensure persistent context for AI coding agents, and facilitate team collaboration on shared knowledge. Especially valuable for maintaining a searchable, growing knowledge base across multiple AI tools and development projects.
Common actions
context managementData ManagementAI researchAI contextAI memoryConversational AILLM integrationPrompt engineeringDeveloper Toolsknowledge graph
Capabilities
Key features
- Import AI memory
- Semantic search
- Git integration
- Team collaboration
- Knowledge graph
- Export data
- MCP server
Target Audience
developerdata scientistproduct managerstartup founder
Pricing & Plans
Freemium · Paid · Enterprise
FAQs
Which AI tools can ContextForge import memory from?
ContextForge supports importing memory from Claude Code (MEMORY.md files), ChatGPT exports (conversations.json), MCP Knowledge Graph (.jsonl), Obsidian vaults, and plain Markdown files. This allows you to consolidate scattered AI knowledge into one central place.
What is the free tier of ContextForge and what does it include?
The free tier of ContextForge includes 1 project, 3 spaces, 200 documents, and 500 semantic queries per month. It's designed for personal projects and allows users to try out the platform's core features before committing to a paid plan.
How does ContextForge handle data security and privacy?
ContextForge uses Supabase with row-level security to isolate user data. API keys are hashed with SHA-256, and all connections use HTTPS/TLS encryption. Importantly, your data is never used to train AI models, ensuring privacy and security.
Can ContextForge be used with a team for collaboration?
Yes, ContextForge supports team collaboration on its Pro and Premium plans. You can invite collaborators to your projects, allowing everyone to share and contribute to the same knowledge base. This helps in building collective knowledge and assigning tasks.
How does ContextForge's semantic search work?
When knowledge is saved, ContextForge creates a vector embedding that captures its meaning. During a search, it finds items based on conceptual similarity, not just keywords. This means searching for a concept like "how we handle payments" can find a document titled "Invoice Processing Workflow".
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