| What it does | Persistent memory for AI coding agents that persists across sessions and tools
| An agentic engineering platform that takes assigned issues to reviewed, tested pull requests
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| Stage | MVP
| Startup
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| Founded | 2026
| 2026
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| Based in | Not given
| NL
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| Pricing model | Free trial
| Freemium
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| Pricing | Early access, enabled per company while onboarding founding teams. 50 free credits on signup, no credit card required.
| Free: 3 credits when you connect your first repository. Credit packs: 10 credits for $49, 50 credits for $199, 100 credits for $349 (one-time purchases, credits never expire). Starter plan: $170/month for 50 credits plus 5 agents at once. Scale plan: $480/month for 160 credits plus 8 agents at once.
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| Key features | - Preferences injected into every session on every AI coding tool
- Three scopes: personal, project, and company
- Auditable receipt for every memory injection
- Owner-editable and hard-deletable memories on demand
- Import from existing ChatGPT or Claude exports
- Engineering and general modes for non-engineering teams
- Works with Claude Code, Cursor, Codex and Grok Build
- Private stays private, every serve leaves a receipt
- Memories filtered per scope, not hidden in UI
- No credit card required to start
| - Planner agent creates implementation and testing specs from tickets and docs
- Builder agent writes code, runs formatters, linters, type checks and tests in sandbox
- Reviewer agent validates code against plan and project guidelines
- Tester agent runs deployment pipeline and validates acceptance criteria
- Real-time mission monitoring with cost attribution per stage
- Configure different agents and models per role
- Integrates with Linear, Jira, GitHub Issues or CLI
- Human checkpoints to pause pipeline at any stage
- Zero-trust security with encrypted credentials never entering sandbox
- Scheduled maintenance tasks with auto-merge option
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| What makes it different | - Solves the hidden tax of repeating the same instructions to AI agents every session
- Keeps personal preferences private while maintaining team and company policies
- Reduces context window token usage by 2.7x compared to raw history
- Immediate deletion with bodyless receipts for audit compliance
- Attached to you, not to a vendor's session store
| - Only platform where all agents review and test before person reads PR
- Mix agents and models by role for cost and quality optimization
- Bring your own AI provider contracts and run inference on your accounts
- Works with existing tools, repositories and CI/CD pipelines
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| Free plan | Not given
| Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▲ +1 (up) since last check | 6 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 4 | 1 |
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| Citation Flow (Majestic) | 22 | 29 |
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| Referring domains (Majestic) | 40 | 53 |
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Decispher Memory
SHIP