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."

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 32 cited facts, 10 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2026-02 third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Funding
$3M total Seed · 2026-02 third-party fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
product vendor fix
Accelerator
yc-s25 vendor fix
Maturity
beta vendor fix

Memory 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.

  • Letta / MemGPT T1

    Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rewrite their own memory, skills and prompts over time.

  • Memori T2

    Structured, persistent memory layer for AI agents. Open source.

Sources (31 cited facts, 10 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Pricing first recorded as “not public — beta with waitlist / contact” source
    #219