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Titen

Stores agent memory as sourced observations and claims, compiles budgeted context packs, and serves them over an API and MCP.

Actively maintained

At a glanceswept Oct 20, 2026

1.6k installs/mo

Established

For
Teams building AI agents that need memory with traceable sources and evidence.
Activity
Actively maintainedrelease 8 days ago · site updated 7 days ago
Runs as
Self-hostedAPI
Used for
  • Give an agent a budget-limited context pack with cited evidence
  • Hand off work between agents using checkpoints and leases
  • Run agent memory locally with no API key or model
Worth knowingcomputed from what we read · each with its source
  • Publishes llms.txt, a file written for AI assistantstiten.dev ↗
  • Launched on Product Hunt on Oct 20, 2026Product Hunt ↗
How a program reaches itfound, not claimed · read Oct 22, 2026

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is Titen?

    Stores agent memory as sourced observations and claims, compiles budgeted context packs, and serves them over an API and MCP. It is listed in the Atlas under LLM operations.

  • Who is Titen for?

    Teams building AI agents that need memory with traceable sources and evidence.

  • Do people use Titen?

    Established: 1.6k installs/mo (npm).

  • Is Titen still maintained?

    Actively maintained: release 8 days ago · site updated 7 days ago.

  • What are alternatives to Titen?

    In LLM operations, by use: AI21, Truefoundry, Langfuse, Supermemory MCP, Nerra, CoralBricks.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk