Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
- ai
- cognitive-architecture
- vector-database
- ai-agents
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Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
World's first open-source enterprise world model.
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.
Hivemind turns your traces into reusable skills across agents
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
Official repository for MemT-1.0
TranslatedMulti-scenario AI workbench: six-layer master outline + topology wiring diagram + public-version workbench templates (four scenarios can run, source code can be copied and used as is) + memory mechanism. Companion marketplace: https://www.mydsh.xyz . Author: https://linyujia.me . Note: it does not work as soon as it is installed; the scenarios need to be tuned to your own content.
Persistent infinite memory with profiles, background agents, and conversation imports for Pi.
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)
TranslatedA practical, deployable AI memory and life layer for AstrBot: five types of memory, hybrid retrieval, forgetting governance, emotional boundaries, and an autonomous life loop. Does not override personality.
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.