Trace
https://www.ycombinator.com/companies/trace-so
YC S25 + $3M seed (Feb 2026). Workflow orchestration mapping corporate environments as a structured context graph so agents always have institutional knowledge for tasks. CTO frames differentiator as "context engineering."
At a glance
- Type
- Context-graph / KG memory
- Tier
- T2
- Section
- Dedicated memory layers
- Created
- 2026-02
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- searched not found
- Funding
- $3M total Seed · 2026-02
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- extraction
- unit
- fact
- governance
- inspectable
- conflict
- none
When to use
Optimised for: context-graph KG memory for agents
Anti-fit: searched not found
Pros & cons
Pros
Trace-based memory model — every reasoning step is recorded and recallable for debugging.
Cons
Trace volume can balloon; not a pure storage layer — memory is incidental to debugging focus.
Claims & capabilities
YC + Zeno + Transpose + Goodwater + Formosa + WeFunder ($3M Feb 2026).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Cloud (SaaS integrating Slack/Jira/Notion; no self-hosted option found)
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- not documented publicly
- A2A
- not documented publicly
- OpenTelemetry
- not documented publicly
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Memvid T2
Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).
- Supermemory T1
Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.