Python · Agent memory

Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

mem0ai/mem0

Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.

MemPalace/mempalace

Installs the cognee AI memory library in a Python environment, sets the LLM key and gets a first remember and recall script running with the Python SDK.

topoteretes/cognee

Runs a nightly or on-demand sleep cycle for a local Codex agent: review past sessions, replay recurring tasks and stage validated skill and memory edits for adoption.

microsoft/SkillOpt

Give an AI agent persistent, cross-session long-term memory through MindMemOS.

mindscale-noah/MindMemOS

Read and write the shared long-term memory store. An agent skill from tigerless-labs/agent-memory.

tigerless-labs/agent-memory

Defines the shape of cognee's knowledge graph with graph_model: DataPoint node classes, identity and index fields, typed edges and fixes for duplicated nodes.

topoteretes/cognee

Shows how to write custom cognee tasks, chain them into pipelines, store custom DataPoints and run enrichment over the existing graph.

topoteretes/cognee

Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client…

liliang-cn/cortexdb

Removes data from cognee memory with forget(), finding the right dataset and document first and choosing between one document, a dataset or only the graph and vector memory.

topoteretes/cognee

Explains how cognee stores session memory by session_id and bridges it into the permanent graph with improve(), including the stages, results and settings.

topoteretes/cognee

Explains how to load text, files, folders, URLs, repositories and databases into cognee memory with remember(), including datasets, extractors and tags.

topoteretes/cognee

Contrasts successful and failed agent runs of the same task and derives guidelines backed by evidence from transcripts, tool calls and outcome judgments.

AgentToolkit/altk-evolve

Explains how to build agents with the Deep Agents framework: create_deep_agent, the built-in middleware, the harness, SKILL.md format and configuration options.

langchain-ai/langchain-skills

Loads context from recent CPR session logs at the start of a session and can search past sessions by topic, then writes a short resume report.

EliaAlberti/cpr-compress-preserve-resume

Arabic edition of a file-based planning skill that keeps task_plan.md, findings.md and progress.md on disk so multi-step agent work survives lost context.

OthmanAdi/planning-with-files

A developer guide to adding compact memory to an agent: when to trigger compaction, how to fork a compactor sub-agent, what the summary holds, and how to restore it.

simbajigege/book2skills

Speeds up or throttles cognee ingestion: estimate cost with a dry run, tune batching and chunk size, set LLM rate limits and run work in the background.

topoteretes/cognee

Turns a project's claude-mem timeline into a week-by-week narrative, splitting it by ISO week and running one subagent per week that receives the prior week's carry-forward block.

thedotmack/claude-mem

Spanish edition of a planning skill that keeps a multi-step agent task on track with task_plan.md, findings.md and progress.md on disk, with recovery after a session reset.

OthmanAdi/planning-with-files

Explains how to query cognee agent memory with recall(): how the search type is chosen, how to narrow a query to datasets, and what the returned results contain.

topoteretes/cognee

Starts the cognee API server and web UI on your own machine, checks its health, connects the SDK or CLI to it and helps you pick between multi-tenant and single-user auth.

topoteretes/cognee

Routes an agent inside Cherry Studio to the right first-party tool or bundled runtime for local scripts, documents, memory, schedules, knowledge bases, MCP servers and more.

CherryHQ/cherry-studio

Walks a user through installing and configuring the Basic Memory extension for Tau: inspect first, ask one decision at a time, choose where memory goes and verify the connection.

basicmachines-co/basic-memory

Iris is Redis's umbrella for AI-focused products. An agent skill from redis/agent-skills.

redis/agent-skills

Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions.

awslabs/agent-plugins

Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture.

jeremylongshore/tons-of-skills-marketplace

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com.

neo4j-contrib/neo4j-skills