Ross ROSS = Recommend OSS · open-source software intelligence for agents

Letta Code

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt observed · 2026-08-28

github.com/letta-ai/letta-code · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

79/100

  • Activity 99
  • Release rhythm 87
  • Longevity 22
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 312
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 290

Full methodology

Adoption not part of the score

3125 stars · 372 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Letta (formerly MemGPT) is an open-source platform for building stateful AI agents with persistent memory that learn and self-improve over time. It ships as an npm-installable agent harness with an interactive terminal UI, an app server for self-hosting, desktop/web apps, chat channels (Slack, Discord, Telegram), and a TypeScript Agent SDK.

Use cases

  • build stateful AI agents with long-term memory
  • create a personal AI assistant that remembers me across sessions
  • self-host an agent server with persistent identity and memory
  • run an AI coding agent in the terminal
  • connect an agent to Slack, Discord, or Telegram
  • build agents that learn and improve from experience over time
  • schedule proactive background agent tasks

When to choose

  • you need agents with persistent memory and continual learning rather than stateless LLM calls
  • you want a self-hosted agent runtime plus ready-made terminal, desktop, and web clients
  • you want agents reachable through existing chat channels like Slack or Discord
  • you're building TypeScript apps and want an SDK for embedding stateful agents

When to avoid

  • you only need simple stateless LLM API calls without memory
  • you need a lightweight library with minimal runtime footprint
  • you require the retired Letta V1 API server, which is unsupported and archived
  • you want a framework locked to a single model provider's managed stack

Facets

framework · maturity active

agent-framework llm-inference chatbot cli http-server mcp artificial-intelligence large-language-models developer-tools self-hosted cross-platform windows cli self-hosted stateful-agents agent-memory memgpt continual-learning sleep-time-compute terminal-ui agent-sdk chat-channels ai-agents nodejs macos linux web-server

5 sources

Member repositories

RepositoryRoleHealth v2
letta-ai/letta-codemain79
letta-ai/lettamirror85
letta-ai/claude-subconsciousexamples75

For agents

markdown · JSON · MCP: product_card(name="letta-ai/letta-code")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem