ИИ-агенты
langmem
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
★ 1,7 тыс. звёздMIT
Смотреть руководство →magic-context — проект с открытым исходным кодом из категории «ИИ-агенты» от cortexkit (cortexkit/magic-context на GitHub). У него 2 283 звезды на GitHub и 133 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
Self-managing, unbounded context and long-term memory for coding agents: one session, for life.
Decide which harness you will use it with (OpenCode, Pi, or OMP) and which model should act as historian.
Run the setup wizard via the install script or npx; it detects your harnesses and configures the plugin for you.
Pick historian (and optionally dreamer) models in the generated config, and let the wizard disable the host's built-in compaction so the two do not conflict.
Restart your harness and keep working in the same session; memory capture, consolidation, and recall then happen in the background.
A background historian compresses older history into chronological, importance-scored compartments so the live context window stays small without losing the thread.
During compression, durable knowledge such as decisions, constraints, and conventions is lifted into categorised project memory, and agents can also write memories explicitly.
An optional overnight dreamer verifies memories against the codebase, curates duplicates and stale entries, and promotes recurring knowledge.
Reductions are queued and applied at cache-safe moments, with a deterministic decay rendering, so the cached prompt prefix survives the session.
OpenCode, Pi, and OMP share the same database, so project memories and embeddings pool across tools.
The wizard auto-detects harnesses and resolves plugin conflicts, and the doctor command re-checks registration, conflicts, and database integrity.
Most users install through the wizard rather than from source.
git clone https://github.com/cortexkit/magic-context.git
cd magic-contextThe npx route works on any OS and targets a specific harness if you pass --harness.
npx @cortexkit/magic-context@latest setupCheck the installation health, then restart your harness and continue in one long-lived session.
npx @cortexkit/magic-context@latest doctorIt is maintained by cortexkit as part of the CortexKit family of agent plugins.
Yes, it is MIT-licensed and free to install. You pay only for the models your harness and historian use, and the historian can run on a cheap or local model.
You need model access for your coding harness and for the historian; that can be a provider API key or a local model, since embeddings default to a local model and the historian accepts any provider/model id.
Built-in compaction in tools like OpenCode periodically summarises and drops history inside one session; Magic Context replaces that with continuous, cache-aware management plus durable cross-session project memory.
Run npx @cortexkit/magic-context@latest setup, choose your historian model, restart your harness, and keep using the same session.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к magic-context — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.