The memory layer for AI coding agents. SessionFS captures every session, builds organizational knowledge, and gives your next AI agent everything the last one learned.
| ID | Tool | Msgs | |
|---|---|---|---|
| ses_a1b2 | claude-code | 47 | Debug auth token refresh |
| ses_c3d4 | codex | 31 | Refactor database schema |
| ses_e5f6 | gemini | 23 | Add rate limiting middleware |
| ses_g7h8 | copilot | 15 | Fix CI pipeline YAML |
| ses_i9j0 | cursor | 52 | Implement OAuth2 flow |
| ses_k1l2 | amp | 18 | Write migration script |
| ses_m3n4 | cline | 9 | Setup Docker compose |
| ses_o5p6 | roo-code | 27 | API endpoint tests |
Onboard new engineers' AI in seconds. Every session extracts decisions, patterns, and bugs into a living wiki — compiled automatically, served via MCP. Knowledge compounds. It never starts from zero.
Reviewable AI. Every claim verified before it reaches production. Confidence scores on every finding. Your team reviews AI work the same way they review human work.
Context never lost. Hand off mid-session. Pick up exactly where the last developer — or the last tool — left off. Full transcript injected. No re-prompting.
Complete audit trail of every AI action across every tool and every developer.
New engineers' AI tools know the codebase from day one. Zero ramp-up time.
Context never lost between sessions, tools, or teammates. Work always resumes.
Every AI claim verified. Secrets detected before sync. Contradictions surfaced.
Every captured session is automatically distilled into knowledge entries — architecture decisions, debugging patterns, API contracts, and environment quirks. Your codebase builds its own documentation over time.
AI agents don't just read the knowledge base — they write back. When an agent discovers something new during a session, it adds the finding automatically via MCP. The next agent picks it up.
Every AI coding agent makes claims: "the test passes," "I created the file," "the migration is safe." Most go unverified. LLM Judge cross-references every claim against actual evidence — exit codes, file writes, test output.
Confidence-scored findings surface on PRs and in the dashboard. Your team reviews AI work the same way they review human work.
Verified claims feed the knowledge base — building a trust record your team can reference.
BYOK — your key, never stored. Works with any OpenAI-compatible endpoint: OpenRouter, LiteLLM, vLLM, Ollama.
Read the docs →Three commands. Under a minute. Zero behavior change.
Sessions captured from 8 tools automatically. No config needed.
Browse sessions across all tools in one unified view.
Resume any session in any supported tool. Full context preserved.
Push to the cloud, pull on any machine. Auto-sync available with three modes: off, all, or selective.
Your AI agents read project context, search knowledge, and write discoveries back — all via MCP.
See what happened in 10 seconds. Files, tests, commands — extracted automatically with no LLM cost.
Hand off sessions with full context. Session data copies to recipient automatically.
AI session context on every PR and MR. Contradictions surfaced for reviewers.
Deploy to any Kubernetes cluster with Helm. Your data never leaves your infrastructure.
Choose the deployment model that fits your security requirements.
Dedicated infrastructure provisioned for your organization. Isolated compute, storage, and networking. We manage it — you own the data.
Deploy to your own Kubernetes cluster — AWS EKS, GCP GKE, Azure AKS, or on-prem. Nothing leaves your network. Air-gapped deployment available.
Local capture, cloud sync, team handoff, knowledge base, MCP, and LLM Judge — all included. No credit card required.
Paid plans with storage-based pricing are coming after beta.