Agent memory explorer

[csmangum]

This pull request introduces significant refactoring and enhancements to the memory system and agent behavior in the main_demo.py and related files. The changes primarily focus on removing memory hooks in favor of direct API calls, improving memory storage and retrieval mechanisms, and simplifying the agent's design. Additionally, the memory system has been updated to use a text embedding engine for similarity search, replacing the previous autoencoder-based approach.

Agent Refactoring and Simplification:

• Removed dependency on BaseAgent and memory hooks in SimpleAgent and MemoryEnhancedAgent. The agents now directly interact with the MemorySpace API for memory operations. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L109-R125), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L185-R230), [[3]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L314-R319), [[4]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L363-R365))
• Simplified the act and update_q_value methods to return actions as integers and store data directly in the memory system without intermediate structures like ActionResult. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L185-R230), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L385-R394), [[3]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L422-R419))

Transition to Direct Memory API:

• Replaced the use of AgentMemorySystem with MemorySpace for memory operations, including storing and retrieving states, actions, and interactions. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L264-R267), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L281-R286), [[3]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L363-R365), [[4]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L422-R419))
• Updated memory interaction methods to include enhanced context, such as position-based lookups and weighted actions based on rewards. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L297-R302), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L327-R329))

Memory System Enhancements:

• Introduced a text embedding engine (all-MiniLM-L6-v2) for similarity search, replacing the autoencoder-based embedding approach. This simplifies the configuration and improves performance. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L520-R528), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L487-R483))
• Updated MemoryConfig to disable compression and enable embedding engine features. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L520-R528), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L437-R433))

Codebase Maintenance:

• Fixed minor issues such as redundant imports and improved logging formatting. ([[1]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-228c3aa759730f754280b9d86104ccd989f185366b8dc92ce074fbcd2567633aL30-R31), [[2]](https://github.com/Dooders/AgentMemory/pull/158/files#diff-d715af4d9a26d06811a229c7834b5bf0a970245b0d6288af996836decdc17afdL174-R176))
• Updated Redis storage methods to use hset_dict for better readability and maintainability. ([memory/embeddings/vector_store.pyL307-R309](https://github.com/Dooders/AgentMemory/pull/158/files#diff-197c99f539096b052a0d0ada1cac9a275bfebaf125a769e7039bce4a82a32cb0L307-R309))

Miscellaneous:

• Adjusted the run_experiment logic to align with the new memory system and agent design, ensuring compatibility and improved learning rates for memory-enabled agents. ([main_demo.pyL579-R568](https://github.com/Dooders/AgentMemory/pull/158/files#diff-027a4c3fec037b2898f5d4c2806d4c46169c7e0614326265af8079d5e309f943L579-R568))

[Copilot]

Pull Request Overview

This PR refactors agent behavior and the memory system to use the new MemorySpace API with a text embedding engine, removes legacy memory hooks, and updates related tests.

• Replace BaseAgent/hooks and ActionResult with direct MemorySpace calls in SimpleAgent and MemoryEnhancedAgent.
• Switch from autoencoder embeddings to all-MiniLM-L6-v2, update MemoryConfig, and improve VectorStore usage.
• Update tests to use mock_memory_space, assert hset_dict, and add SentenceTransformer mocks.

Reviewed Changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/test_agent_memory_system.py	Inject mock_memory_space into test_add_memory
tests/storage/test_redis_stm_integration.py	Tweak formatting, add trailing commas, and remove TTL integration test
tests/embeddings/test_vector_store.py	Change assertions from hset to hset_dict
tests/converter/test_converter.py	Import numpy, mock SentenceTransformer, and improve exception matching
memory/space.py	Initialize vector_store with None and call store_memory_vectors
memory/embeddings/vector_store.py	Replace hset(mapping=…) with hset_dict(key, {…})
memory/core.py	Reorder import of MemorySpace
main_demo.py	Remove hooks, refactor agents, but mis-import MemorySpace and omit AgentMemorySystem
converter/converter.py	Reformat logger.info call

Comments suppressed due to low confidence (4)

main_demo.py:484

• AgentMemorySystem is referenced but not imported; add from memory.core import AgentMemorySystem at the top.

memory_system = AgentMemorySystem.get_instance(memory_config)

tests/storage/test_redis_stm_integration.py:211

• The test_ttl_integration test was removed, which drops verification of TTL behavior. Consider restoring or replacing it to ensure TTL enforcement is still tested.

def test_clear_integration(stm_store):

memory/space.py:103

• Setting redis_client=None disables Redis-backed vector indices; restore passing self.stm_store.redis so similarity search works as intended.

redis_client=None,

main_demo.py:18

• Importing MemorySpace from memory.config is incorrect; it should be from memory.space import MemorySpace.

MemorySpace,