Persistent recall
Episodes survive across sessions, workspaces, and host restarts. Cache-hit recalls return in <1 ms; semantic recalls in <50 ms p50. Retrieval quality measures 65.0 % LongMemEval-S, fully local (retrieval-quality measurement).
A persistent-memory substrate that lets your coding assistant, support bot, or research agent remember context and recall what matters — across sessions, workspaces, and restarts.
$ pip install cogitent
$ cogitent-mcp serve --transport stdio
# your agent now has long-term memory.
LLMs are powerful but amnesiac. Their context window forgets everything the moment a session ends. Cogitent is the missing substrate: episodic storage, salience-weighted recall, and consolidation cycles inspired by how cognition actually works. It works across MCP-compatible AI hosts and major providers, so your agent keeps its memory whichever model you run.
Episodes survive across sessions, workspaces, and host restarts. Cache-hit recalls return in <1 ms; semantic recalls in <50 ms p50. Retrieval quality measures 65.0 % LongMemEval-S, fully local (retrieval-quality measurement).
Five-axis salience (importance, urgency, novelty, confidence, affect) ranks what surfaces. Background sleep cycles consolidate, decay, and settle revisions — a unique cognition architecture among surveyed memory platforms. Predictive recall was measured against a pre-registered bar and did not clear it; see the roadmap.
AGPL-3.0-or-later Community Edition — free and self-hostable forever. Memory is stored and processed locally; recalled context is shared only with the AI host you choose. French-hosted federated learning is on the roadmap. Plus for AI-intensive individuals & small teams, Pro for enterprises; full self-host always supported.
A memory is evidence by default — it only becomes something your agent treats as an instruction after an explicit human confirmation. Per-memory use-class, sensitivity, and sharing rules are enforced by a single fail-closed gate on every read. The gate ships off by default with a shadow mode, so you can measure its blast radius before it ever denies anything. Sensitivity & retention enforcement is a Pro feature.
Self-host the core forever. Upgrade when you want team-scale features.
Free · AGPL-3.0-or-later
Pricing at launch · per user / month
Talk to us · annual contract
CE is the individual layer, free forever. Organisations buy governance and
accountability — never access to their own memory.
Reading the labels: available today means
the entitlement is enforced in the current release candidate.
at launch and roadmap are not
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