Long-term memory for AI agents that organizes itself and corrects itself
Stage
Not given
MVP
Founded
Not given
Not given
Based in
US
SE
Pricing model
Not given
Free
Pricing
Not given
Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
Key features
Governance: checks proposed AI actions against defined rules before execution
Recorded decision records that can be reviewed, replayed and verified later
Evaluation: compares AI agent performance using representative test cases and expected outcomes
Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
Regress detection identifies changed action paths and quality regressions
On-premises and private cloud deployment
Integration with existing AI tools via connectors and wrappers
No model training on customer data; separate data boundaries from external AI providers
Cost comparison and optimization across model and cache configurations
Self-correcting memory that updates when facts change
Historical memory queries with time-based retrieval
Automatic topic organization and hierarchy
Separate memory for each agent with controlled sharing
Multi-agent support via MCP, REST API, or LangGraph
AES-256 encryption at rest and in backups
OAuth 2.1 authentication and API key management
Data export and deletion capabilities
37 MCP tools with automated verification on every code change
What makes it different
Independent accountability: checks run inside your systems, not asking another AI to audit AI
Your people keep authority: Forge produces decision evidence, your business enforces results
Recorded decision evidence that auditors and regulators can examine
Designed for consequential work in regulated industries like financial services
Not another dashboard: integrates into your workflow without replacing your AI tools
Understands what changed, when it was true, and where it belongs - beyond vector database similarity
Never contradicts itself by automatically replacing outdated facts
Fully GDPR aligned with built-in privacy by design
Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
Data stays in Europe on AWS eu-north-1 and never used for model training