okf-agent-memory logo
okf-agent-memory
★ 843
vs
telemem logo
telemem
★ 494

okf-agent-memory vs telemem

okf-agent-memory: OKF Agent Memory provides a domain-neutral, Git-native persistent project memory for AI agents, leveraging the Dual-Memory Agent Architecture to prevent context bloat and memory rot. It uses an ultra-compact behavioral codex and a queryable OKF v0.2 knowledge bundle, with blazing-fast, zero-cost local retrieval.; telemem: TeleMem is an advanced agent memory management layer, offering high-performance, character-aware, long-term, and multimodal memory capabilities for conversational AI. It significantly improves memory accuracy and speed, supporting complex scenarios like multi-turn dialogues and video content understanding.

01

TL;DR

okf-agent-memory logo
okf-agent-memoryMemory & Context · ★ 843

Software Engineering: Managing architecture decisions, code references, and operational constraints.

telemem logo
telememMemory & Context · ★ 494

Developing multi-character virtual agent systems and NPCs.

02

Side-by-Side Comparison

Field
okf-agent-memory logookf-agent-memory
telemem logotelemem
Category
Memory & Context
Memory & Context
Stars
★ 843
★ 494
License
MIT
Apache-2.0
Install Command
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
pip install "telemem[all]"
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Agents, Persistent Memory, Knowledge Base
Agent Memory, Multimodal AI, Long-term Memory
03

Features

okf-agent-memory logookf-agent-memory
01Dual-Memory Cognitive Architecture (DMAA) to eliminate prompt bloat.
02Blazing fast performance with in-memory BM25 search (<300µs) and graph validation (~4ms).
03100% Git-native, zero vendor lock-in, and zero API costs for memory retrieval.
04Built on Google's Open Knowledge Format (OKF) v0.2 for standardized agent knowledge.
05Solves context bloat and memory rot through progressive disclosure and Search-Before-Write principle.
telemem logotelemem
01Automatic, isolated per-character memory profiles for multi-persona agents.
02Full multimodal memory pipeline for video understanding and ReAct-style video QA.
03LLM-based semantic clustering and deduplication for improved memory consistency.
04High-performance, efficient asynchronous writing with batch flush.
05Fully local operation by default with support for various LLM providers.
04

Use Cases

okf-agent-memory logookf-agent-memory
↳Software Engineering: Managing architecture decisions, code references, and operational constraints.
↳Scientific Research & Literature Reviews: Organizing and querying research findings and insights.
↳Coaching & Operations: Storing client session history, ethical guidelines, and runbooks.
↳Multi-Agent Collaboration: Providing a shared, auditable knowledge base for autonomous agents.
telemem logotelemem
↳Developing multi-character virtual agent systems and NPCs.
↳Building long-memory AI assistants for customer service, companionship, or creative co-pilots.
↳Enabling complex narrative and world-building in virtual environments.
↳Powering video content Q&A and reasoning for long video understanding.
↳Managing multimodal agent memory in scenarios with strong contextual dependencies.
05

Best For

okf-agent-memory logookf-agent-memory
Hidden Gem
telemem logotelemem
Hidden Gem
FAQ

FAQ

What is the difference between okf-agent-memory and telemem?
Both okf-agent-memory and telemem are in the Memory & Context category. okf-agent-memory has 843 stars, while telemem has 494 stars.
Which is better, okf-agent-memory or telemem?
The best choice depends on your use case. Choose okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints., and telemem if Developing multi-character virtual agent systems and NPCs..
Is okf-agent-memory free or open source?
Yes, okf-agent-memory is open source on GitHub (MIT).
Is telemem free or open source?
Yes, telemem is open source on GitHub (Apache-2.0).
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