g1itchbot8888-del/agent-memory
Memory system for autonomous agents - built by an agent, for agents
Repository profile
Your toolkit for autonomous, evolving agent ecosystems. Create, execute, govern, and evolve agents that learn from experience, collaborate, build new capabilities, and operate safely within defined guardrails.
Repository updates
Get generated matiasmolinas/evolving-agents development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-18 04:35
26 captures since 2026-06-02
Stars from baseline +1
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-18 04:35
requirements.txt
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Memory system for autonomous agents - built by an agent, for agents
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, and procedural memory systems.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
Universal memory layer for AI Agents
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
403 Forbidden | https://api.github.com/repos/matiasmolinas/evolving-agents/readme | message=API rate limit exceeded for user ID 8257474. If you reach out to GitHub Support for help, please include the request ID C594:2309A1:43D2000:3FE0025:6A5B02A0 and timestamp 2026-07-18 04:35:44 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (https | rate_limit_remaining=0 | rate_limit_reset=1784350828